Literature DB >> 33211776

Evaluation of underidentification of potential organ donors in German hospitals.

Grit Esser1, Benedikt Kolbrink1, Christoph Borzikowsky2, Ulrich Kunzendorf1, Thorsten Feldkamp1, Kevin Schulte1.   

Abstract

BACKGROUND: Since 2010, the number of organ donations in Germany has decreased by one third, mostly due to undetected organ donors. It is unclear, how the undetected potential donor pool is distributed among the different German hospital categories (A = university hospital, B = hospitals with neurosurgery, C = hospitals without neurosurgery) and region types.
METHODS: We performed a nationwide secondary data analysis of all German inpatient cases of the year 2016 (n = 20,063,689). All fatalities were regarded as potential organ donors, in which primary or secondary brain damage was encoded and organ donation was not excluded by a contraindication or a lack of ventilation therapy.
RESULTS: In 2016, 28,087 potential organ donors were identified. Thereof 21% were found in category A, 28% in category B and 42% in category C hospitals. The contact rate (= organ donation related contacts/ potential organ donors) and realization rate (= realized organ donations/ potential organ donors) of category A, B and C hospitals was 10.6% and 4.6%, 10.9% and 4.8% and 6.0% and 1.7%, respectively. 58.2% of the donor potential of category C hospitals was found in the largest quartile of category C hospitals. 51% (n = 14,436) of the potential organ donors were treated in hospitals in agglomeration areas, 28% (n = 7,909) in urban areas and 21% (n = 5,742) in rural areas. The contact- and realization rate did not significantly differ between these areas.
CONCLUSIONS: The largest proportion of potential organ donors and the lowest realization rate are found in category C hospitals. Reporting and donation practice do not differ between urban and rural regions.

Entities:  

Mesh:

Year:  2020        PMID: 33211776      PMCID: PMC7676668          DOI: 10.1371/journal.pone.0242724

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Since 2010, the number of organ donations in Germany has decreased by one third. This development reached its peak in 2017 when 797 organ donors faced 9,697 patients waiting for a life-saving organ transplant [1]. Accordingly, an increase in organ donation numbers would significantly improve the quality of life [2] and life expectancy of thousands of people [1]. This described decline is mostly due to a reduction of deceased organ donations. While the number of deceased kidney donations dropped in this time from 2,272 to 1,364 by 40%, the number of living kidney donations decreased only slightly from 665 to 557 [1]. Possible reasons for the continuing decrease in organ donations have been discussed extensively in Germany over the last decade [3]. In 2012 it became known that some doctors had falsified their patients’ data in a few cases in order to raise their rank on the waiting list. This organ allocation scandal is regarded by many as the main reason for the declining organ donation numbers. They argue that this scandal has a sustainable negative impact on the public’s attitude towards organ donation. However, this explanatory approach does not fit in with the fact that the German Federal Centre for Health Education reports a stable and high consent to organ donation in the German population [4]. The number of Germans holding an organ donor card has almost doubled in the last decade [5], which even indicates a rising awareness regarding organ donation, although only a negligible number of the cards are being carried in decisive situations by the patients [6]. In the hope of encouraging more people to make a decision regarding organ donation and thus increase organ donation numbers, the German transplantation law was amended in 2012. Unfortunately, this law neither improved the hospitals’ number of contacts to the German Organ Transplantation Foundation (Deutsche Stiftung Organtransplantation, DSO), who is responsible for coordinating organ donation and removal in Germany, nor the number of transplantations in total [7]. The uncertainty among experts and the failure of political interventions underline the need for reliable data to initiate targeted approaches to improve organ donation. As we reported previously, the number of potential organ donors in Germany has increased steadily since 2010 [8]. This finding ruled out, that the falling donor numbers are an inevitable consequence of an improved treatment of patients with a severe brain damage. We were also able to show that the decrease in organ donations is due to a reporting and recognition deficit of potential organ donors in German hospitals, who bear the core responsibility for reporting potential organ donors to the DSO. Although the number of potential organ donors increased by 13.9% from 2010 to 2015, 18.6% fewer potential organ donors were reported by hospitals [8]. However, important data for the introduction of targeted improvements is still missing. The German hospitals are divided into three categories by the DSO: University hospitals (category A hospitals), hospitals with an intensive care unit and a department of neurosurgery (category B hospitals), and hospitals with an intensive care unit but without a department of neurosurgery (category C hospitals). To date, it is unclear how the organ donor potential is distributed between these hospital categories and between areas of differing population density. In addition, it is unknown whether the therapeutic procedure differs significantly between hospital categories. Should, for example, invasive ventilation therapy be initiated less frequently in one hospital category, this could have an impact on the organ donor potential of the respective hospitals. The aim of this study is to create a data basis on which targeted measures can be developed to improve the organ donation process in Germany. Therefore, we analyzed the accounting data of all German inpatient treatment cases of the year 2016 to show the following: The distribution of potential and realized organ donors between the different hospital categories. The proportion of patients who were not eligible as organ donors because no invasive ventilation therapy was initiated depending on the hospital category. The distribution of potential and realized organ donors among urban and rural regions in Germany.

Materials and methods

Patients

The German Federal Statistical Office enabled us to analyze the hospital billing data of all German hospitals for the year 2016. This dataset comprises basic patient data, reasons for admission and discharge, main and subsidiary ICD-diagnoses, operation and procedure key codes and information about the duration of an invasive ventilation therapy. To identify potential organ donors, the following four-step selection process was applied (see also Fig 1):
Fig 1

Analysis algorithm for identification of potential organ donors based on DSO-Transplantcheck for Excel.

Step 1: Selection of all inpatient cases with death as reason for discharge. Step 2: Selection of all patients diagnosed with primary or secondary brain damage (inclusion criteria). Step 3: Exclusion of patients with contraindications for organ donation (exclusion criteria). Step 4: Exclusion of patients who did not receive invasive ventilation during hospitalization. This algorithm is based on the “DSO Transplantcheck for Excel” software program [9], which was designed to enable hospitals to analyze retrospectively in which case of death an organ donation would have been, in all probability, possible. Here, these cases are regarded as “potential organ donors”. This algorithm was extensively validated in several studies [8,10,11] and showed to be very sensitive but to lack specificity. With regard to the latter, due to the DSO-In-House-Coordination Project [10], in which the suitability of every detected potential organ donor (n = 13,047) to become an actual organ donor was thoroughly evaluated in a case-by-case analysis, it is known that at least 31.7% of the potential organ donors should be reported to the DSO and 10.2% could actually become organ donors.

Methods

Firstly, hospitals were grouped based on their institution code, so that separate analyses of the different hospital categories were possible. The hospitals were assigned to the different hospital categories based on information published by the DSO [12]. The contact rate (= organ donation related contacts/ potential organ donors) and realization rate (= realized organ donations/ potential organ donors) was calculated for each category and region type. The actual numbers of contacts to the DSO and realized organ donors were taken from the annual report of the DSO for 2016 [13]. Category C hospitals were further sub-classified based on their total number of annual inpatient cases, resulting in the following quartiles: very small hospitals with ≤5,395 cases (first quartile), small hospitals with 5,396 to 9,377 cases (second quartile), larger hospitals 9,378 to 14,666 cases (third quartile) and large hospitals with 14,667 to 49,516 cases (fourth quartile). These data were kindly provided by the scientific institute of the statutory health insurance company AOK. Secondly, the proportion of patients, who were not eligible as organ donors because no invasive ventilation therapy was initiated, was analyzed for the different hospital categories. Therefore, we calculated the rate of potential organ donors and those patients, who died with a main or subsidiary diagnosis of a primary or secondary brain damage and had no contraindications for an organ donation (step 1 to step 3 in the 4-step selection process). Lastly, we analysed the distribution of the organ donation potential between rural, urban and agglomeration areas. The contact and realization rates were calculated as described above. We defined the different region types in accordance with the German federal institute for contruction-, urban- and spatial research [14]. The first region type, rural areas, is defined by a population density of <150 residents/km2 without a regional metropolis with more than 100,000 residents or a population density with <100 residents/km2 with a regional metropolis larger than 100,000 residents. The second region type, urbanized areas, is characterized by a population density of >150 residents/km2 or a regional metropolis with more than 100,000 residents with a minimum population density of ≥100 residents/km2. The third region type, agglomeration areas, is defined by a regional metropolis >300,000 residents or a population density of about 300 residents/km2 (e.g. Berlin, Hamburg or Munich). IBM SPSS Statistics for Windows (version 22.0.0.2, IBM, 2013) was used to create syntax files and to analyze empirical data provided by The German Federal Statistical Office. Descriptive results will be presented with absolute and relative frequencies. χ2-test was used to compare categorical variables between different hospital categories and region types. P values <0.05 were regarded as statistically significant. Our ethics committee waived an evaluation of the study protocol because the routine data was evaluated in anonymized form by the Federal Statistical Office. Since routine patient treatment in Germany is carried out in accordance with the Declaration of Helsinki as well as Istanbul, the present study meets all ethical requirements.

Results

Analysis of the organ donor potential depending on the hospital category

In 2016, 20,063,689 inpatients cases were treated in German hospitals in total. Of those cases 416,411 (2.1%) ended with the death of the patient, 16.4% (n = 68,445) of these patients suffered from a primary or secondary brain damage. No absolute contraindication for an organ donation was encoded for 88.6% (n = 60,658) of these patients. 46.3% (n = 28,087) of the remaining cases received an invasive ventilation therapy prior to death and can therewith be regarded as potential organ donors. 21.3% (n = 5,980) of the potential organ donors occurred in category A hospitals, 28.0% (n = 7,878) in category B hospitals, and 42.1% (n = 11,821) in category C hospitals (Fig 2A). 8.6% (n = 2,408) of the potential donors could not be allocated to one specific category, because the accounting data of several hospitals was summarized in one institution number and could not be analyzed separately. We subsumed these cases in the additional category “not assignable to categories” (see Fig 2A). 6.1% (n = 721) of the potential organ donors found in category C hospitals were detected in the first quartile (very small hospitals), 11.3% (n = 1,333) in the second and 24,4% (n = 2,886) in the third quartile. In the fourth quartile (large hospitals) 58.2% (n = 6,881) of the potential organ donors were detected. In this quartile 51.3% (n = 6,302,121) of all cases of category C hospitals were treated (Fig 3).
Fig 2

Distribution of potential organ donors (I.), DSO-contacts (II.) and realized organ donors (III.) among different hospital categories in 2016.

Category A: university hospitals; category B: hospitals with an ICU and a department of neurosurgery; category C: hospitals without a department of neurosurgery.

Fig 3

Distribution of potential organ donors in category C hospitals by hospital size.

The category C hospitals (no department of neurosurgery, n = 932) have been divided into quartiles by their total number of annual inpatient treatment cases (n = 233 per quartile). The first quartile includes hospitals ≤5,395 cases, the second quartile hospitals with 5,396 to 9,377 cases, the third quartile hospitals with 9,378 to 14,666 cases and the fourth quartile hospitals with 14,667 up to 49,516 cases.

Distribution of potential organ donors (I.), DSO-contacts (II.) and realized organ donors (III.) among different hospital categories in 2016.

Category A: university hospitals; category B: hospitals with an ICU and a department of neurosurgery; category C: hospitals without a department of neurosurgery.

Distribution of potential organ donors in category C hospitals by hospital size.

The category C hospitals (no department of neurosurgery, n = 932) have been divided into quartiles by their total number of annual inpatient treatment cases (n = 233 per quartile). The first quartile includes hospitals ≤5,395 cases, the second quartile hospitals with 5,396 to 9,377 cases, the third quartile hospitals with 9,378 to 14,666 cases and the fourth quartile hospitals with 14,667 up to 49,516 cases. In 2016, the DSO registered 2,193 contacts. Of these contacts, 28.8% (n = 632) were initiated by category A hospitals, 39.0% (n = 856) by category B hospitals and 32.1% (n = 705) by category C hospitals (Fig 2B). This results in a contact rate of 10.6% in category A, 10.9% in category B, 6.0% in category C hospitals and a mean contact rate of 7.8% over all categories. Of the 857 organ donors realized in the reference year, 32.1% (n = 275) were realized in category A, 44.2% (n = 379) in category B and 23.7% (n = 203) in category C hospitals (Fig 2C). The mean realization rate was 3.1%, with 4.6% in category A, 4.8% in category B and 1.7% in category C hospitals. The contact- and realization rates of category C hospitals were significantly lower than those of category A or B hospitals (p<0.001).

Comparison of the proportion of invasively ventilated potential organ donors between the different hospital categories

In category A hospitals we found 8,595 cases of death with a main or subsidiary diagnosis of primary or secondary brain damage without a contraindication for organ donation. Of these, 30.4% (n = 2,615) did not receive invasive ventilation and, thus, could not be classified as potential organ donors. In category B hospitals 14,017 patient cases had an encoded brain damage and no contraindication for organ donation, of those 43.8% (n = 6,139) received no invasive ventilation. Lastly, in category C hospitals 32,111 fatalities with an encoded primary or secondary brain damage and without contraindications were detected. Of those, 63.2% (n = 20,290) did not receive an invasive ventilation therapy (Fig 4).
Fig 4

Comparison of the proportion of invasively ventilated patients with severe brain damage between the different hospital categories.

Analysis of the organ donation potential with regard to region type

In the agglomeration area 51.4% (n = 14,436) of the potential organ donors were found, 51.3% (n = 1,124) of all contacts initiated and 51.0% (n = 437) of all organ donations realized. In the urbanized area we found 28.2% (n = 7,909) of the potential organ donors, 26.9% (n = 589) of all contacts with the DSO and 26.4% (n = 226) of the realized organ donations. In the rural area 20.4% (n = 5,742) of the potential organ donors were located, 21.8% (n = 480) of all DSO contacts happened and 22.6% (n = 194) of all organ donations were performed (Fig 5A–5C). The contact- and realization rates were 7.8% and 3.0% for the agglomeration area, 7.4% and 2.9% for the urbanized area, 8.4% and 3.4% in the rural area and did not differ significantly between the region types.
Fig 5

Distribution of potential organ donors (I.), DSO-contacts (II.) and realized organ donors (III.) among different region types in 2016.

Discussion

The present study has three major findings: The highest proportion of potential organ donors can be found in category C hospitals. These hospitals do have a significant lower contact- and realization rate than category A and B hospitals. The proportion of patients with severe brain damage receiving invasive ventilation prior to their death is considerably larger in category A and B hospitals than in the category C hospitals. Contact- and realization rates do not differ significantly among urban and rural regions in Germany. Until today, the thesis has been frequently put forward that potential organ donors are mainly to be found in large hospitals [15]. Following this assertion, it seems reasonable to concentrate efforts to increase organ donation numbers mainly in those large centers. Our study confirms that the number of potential organ donors per hospital is indeed highest in category A and B hospitals. However, the largest proportion of the national organ donation potential and especially the most unidentified potential organ donors are found in category C hospitals. This finding is supported by a smaller retrospective analysis recently performed in the eastern region of Germany, which showed that 69.8% of all potential organ donors can be found in category C hospitals [16]. This is an important finding making clear that a significant increase in organ donation in Germany requires strategies that above all address the identification and reporting deficit of potential organ donors in category C hospitals. Since the majority of potential organ donors can be found in the largest quartile of category C hospitals, it seems justifiable and probable more effective, to focus on those larger category C hospitals. If the realization rate in these hospitals (2016: 1.7%) could be increased only to the level currently achieved in category A hospitals (2016: 4.6%), the number of organ donations in Germany could be increased by more than one third. Nevertheless, the especially low contact- and realization rates in category C hospitals should not detract from the fact that there is much room for improvement in all categories. If all hospitals achieved a contact rate of 30% and a realization rate of 10% of the potential organ donors, which seems to be realistically achievable based on the results of the DSO-Inhouse coordination project [10], the number of organ donors could be increased to about 2,800 per year. What has to be done now? In a preliminary study we were able to show that the contact- and realization rates of different hospitals vary markedly. Although the number of potential organ donors did not differ between these hospitals, the number of realized organ donors differed in some cases by more than a factor of 15 [8]. It is important to realize that we found these big differences between hospitals, which all had a full-time transplant coordinator and received the same compensation for a realized transplant. Because some hospitals were able to realize a very high donation rate, the causes cannot be of a general nature but must exist at the hospital level. Unfortunately, up to now it was not possible to analyze the individual strength and weaknesses of these hospitals. Therefore, no scientifically based general answer can be provided to the question how the untapped potential can be utilized most effectively. Due to this it is crucial to identify individual weaknesses and problems of the hospitals to find starting points for effective improvements. This process is an important part of the quality surveillance- and improvement system in countries with much higher organ donation rates per million population than Germany, for example Spain [17] or the USA [18]. Up to now, such procedures were not feasible in Germany, since they require disclosure and analysis of the transplantation related data of the respective hospitals and this data has not been publicly available so far. Last year, however, there were significant changes in this regard: In April 2019, a further revision of the German transplantation law stipulated, in addition to a number of other points, that every hospital must now report its organ donation potential annually and give an account of why potential organ donors were not reported. These data will be available to the DSO for the first time in autumn 2020 and then be published [19]. So far, no detailed rules have been laid down on how to proceed if a hospital reports only a very small percentage of potential organ donors. Our study shows that the public and regulatory authorities should focus on the large category C hospitals in particular to guarantee that a detailed root-cause analysis is initiated in these hospitals. The second main finding of our study is that the proportion of patients with severe brain damage who receive invasive ventilation differs significantly between different hospital categories. While 70% of the patients in university hospitals received invasive ventilation before their death, only 37% did in category C hospitals. Even if other patients are treated in specialized university hospitals than in category C hospitals, we believe that this finding cannot be attributed solely to this. The reasoning for our assumption is that more than 707 ICD codes were used to select the corresponding patients. This makes it likely that patient characteristics in the different hospital categories are at least similar. Furthermore, a study by Brauer and colleagues using the same algorithm in 144 hospitals in Germany suggests that there are also no major differences in terms of age of the patients [16]. Based on this, it seems likely that the treatment of patients with neurological diseases is indeed more often terminated early in category C hospitals. There are several possible explanations for this state of affairs. It could be due to the fact that they have less intensive care capacity than the other hospital categories and are therefore more reluctant to initiate ventilation therapy if the prognosis for the patient is poor. Another explanation could be that they lack competence in treating these cases because they do not have a neurosurgical department. However, this probably has a considerable influence on the quality of care for these patients and urgently calls for further research. Although we can only speculate why therapy in category C hospitals is terminated earlier than in the hospitals categories, our result at least allows the assumption that the organ donor potential in category C hospitals could be even greater as our above-mentioned analysis suggests. Addressing the last of our main findings, there was no difference in contact- and realization rates between rural and urban regions. Investigations of this kind have—at least to our knowledge—never been conducted in Germany before. Significant differences between rural- and urban organ donors and recipients in the United States have been demonstrated in the past [20,21]. Thus, we generated the thesis that there could be a disparity between rural, more remote hospitals and the ones in urban areas. By this work we disprove our assumption and show that—in Germany at least—the location of a hospital does not affect its performance regarding the recruitment of potential organ donors. Accordingly, there is no need for measures aimed specifically at rural areas. In summary, our study reveals that it would be most useful to develop measures to improve the identification and reporting of potential organ donors in large category C hospitals, because there is a particularly large, undetected donor potential. Since all measures to increase the organ donation rate presuppose an unused organ donor potential, we believe that this result is of central importance in order to effectively and purposefully counteract the falling organ donation numbers in Germany. As our study describes a methodical approach to identify the unused national organ donation potential, we believe that it is also of great international interest.

Strengths and limitations

The strength of our study is the fact that all hospital inpatient cases of the year 2016 were integrated into the analysis. By this approach the study creates an overall picture of the situation in Germany and does not run the risk of being distorted by a selection bias. Nevertheless, a major limitation of our study is its retrospective approach and the fact that it is based on primary data that were not originally collected to answer our questions. As we have used an extensively validated algorithm, we nevertheless consider the number of identified potential organ donors to be reasonable. When speaking of “potential organ donors” internationally, it should be taken into consideration that these are often defined as patients, who were found suitable for organ donation based on clinical findings. Therefore, the numbers of potential donors identified in our study are likely to be higher than those in similar international studies [22,23]. Lastly, our study is limited by the fact that the primary data set depends on the coding quality of the hospitals. In the German DRG-system a correct coding of secondary diagnoses leads to an increase in the case value of a patient treatment. For this reason, there is a financial incentive for hospitals to code relevant secondary diagnoses (such as tumor diseases). In return, there is an incentive for the Medical Service of the health insurance companies to prevent over-coding for the same reason. Therefore, we assume that the quality of the data set on which the study is based is very solid as it is under control from two sides. 22 Jul 2020 PONE-D-20-20570 Evaluation of the undetected organ donor potential in Germany PLOS ONE Dear Dr. Schulte, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Sep 05 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols We look forward to receiving your revised manuscript. Kind regards, Larry Allan Weinrauch, MD Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2.We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. We will update your Data Availability statement on your behalf to reflect the information you provide. Additional Editor Comments (if provided): The current manuscript requires revision in line with the comments of the reviewers. Proper revision will improve the readability of this work which demonstrates a difference between harvesting of appropriate organs by type of institution. The paper would be more impactful if it concluded with possible solutions that might improve organ harvest (donation) [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The fact that the highest proportion of potential organ donors can be found in category C hospitals is of paramount practical importance for addressing the problem of decreasing deceased donors in future. All over the manuscript the word donor has been implied to cadaver donors in Germany and for an international reader, it would be helpful to know what percentage of the total donors in Germany come from live donation and what is the temporal trends of that. In some regions of the world , increasing number of live donations, that have better outcomes, accounts for some of the decreased deceased donations. Reviewer #2: In their paper Evaluation of the undetected organ donor potential in Germany, Esser et al examined data from the German Federal Statistical Office to evaluate number of potential organ donors at German hospitals of different sizes and location and compared that to data from the German Foundation for organ donation.They found that the number of unidentified potential organ donors was greatest at so-called category C hospitals - those with ICUs but no neurological service - significantly in the largest quartile of category C hospitals. They found no diffidence in unidentified potential organ donors based on population size of the regions service by the hospitals. They concluded that about a third of the unmet demand for kidney transplants could be better met by better identification of potential donors in the larger category C hospitals. Their paper is interesting but raises several questions that need to be addressed. 1. Whose responsibility is it to identify potential organ donors? Is the problem that insufficient attention is being paid by hospital staff to notifying the DSO. Or is the problem that the DSO lacks the resources to perform outreach to these hospitals. The paper needs a little more background on the usual practices by which potential organ donors are identified and how their donation is realized. 2. The authors argue that the decline in organ donation is due to the number of unidentified potential donors. But they only provide one year of data and don’t show that that this number is growing. While their paper doesn’t make the case that this is the reason, it does seek to show that improving identification of potential donors would be a way to slow the decline. 3. Why were patients with brain injury not on mechanical in greater numbers at category C hospitals. Since the category C hospitals don’t have neurosurgery departments, is the implication was that these patients were not considered candidates for mechanical ventilation because their chances for recovery of meaningful brain function were considered poor? Is there any mechanism in Germany for transferring these patients to an A or B category hospital for neurosurgery evaluation? This is perhaps beyond the scope of the paper but gets to me next question... 4. What are the solutions for tapping this underutilized potential source of organ donors and what efforts are underway to do that. In my limited experience taking organ call at a US hospital, I often receive organ offers from potential donors who presented to small hospital, were identified with severe head trauma, intubated and sent to a larger center for neurosurgery evaluation. They are considered inoperable candidates and are referred to the organ procurement organization as potential organ donors. What is the system in place in Germany? 5. The title of the article needs to reflect the substance of the article. I would suggest something like “Evaluation of underidentification of potential organ donors in German Hospitals.” 6. At several points early in the paper, the authors refer to the different categories of hospitals as “clinics.” To avoid confusion and maintain consistency, I would refer throughout the paper to category A, B and C hospitals. 7. On line 101, the authors refer to the organ scandal of 2012 as a potential reason for the decline, but then without providing any background on the scandal, they say this doesn’t fit with the facts. Maybe better to take this reference out if it isn’t relevant. Otherwise they need some explanation of the scandal. 8. Why did they look at only one year’s worth of data, and why not chose a more recent year? 9. Line 191 please confirm the direction of the arrow.Are rural population really defined as “great than” 150 residents per square kilometer? Or should that be less than 10. Please define the term agglomeration for readers who are not demographers, or provide an example of such a region in Germany ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Bijan Roshan Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 17 Sep 2020 Additional Editor Comments (if provided): The current manuscript requires revision in line with the comments of the reviewers. Proper revision will improve the readability of this work which demonstrates a difference between harvesting of appropriate organs by type of institution. The paper would be more impactful if it concluded with possible solutions that might improve organ harvest (donation) We have taken great efforts to revise and improve our manuscript based on the comments of the reviewers. In particular we have tried to make the manuscript easier to understand for international readers. Furthermore, we have tried to work out more clearly what we think must happen now in order to increase the number of organ donations in Germany. Therefore, we have integrated following new passages into the discussion section: p.14, lines 321ff “What has to be done now? In a preliminary study we were able to show that the contact- and realization rates of different hospitals vary markedly. Although the number of potential organ donors did not differ between these hospitals, the number of realized organ donors differed in some cases by more than a factor of 15 (8). It is important to realize that we found these big differences between hospitals, which all had a full-time transplant coordinator and received the same compensation for a realized transplant. Because some hospitals were able to realize a very high donation rate, the causes cannot be of a general nature but must exist at the hospital level. Unfortunately, up to now it was not possible to analyze the individual strength and weaknesses of these hospitals. Therefore, no scientifically based general answer can be provided to the question how the untapped potential can be utilized most effectively. Due to this it is crucial to identify individual weaknesses and problems of the hospitals to find starting points for effective improvements. “ p.15, lines 343ff “So far, no detailed rules have been laid down on how to proceed if a hospital reports only a very small percentage of potential organ donors. Our study shows that the public and regulatory authorities should focus on the large category C hospitals in particular to guarantee that a detailed root-cause analysis is initiated in these hospitals. “ Reviewers' comments: Reviewer's Comments to the Author Reviewer #1: The fact that the highest proportion of potential organ donors can be found in category C hospitals is of paramount practical importance for addressing the problem of decreasing deceased donors in future All over in the manuscript the word donor has been implied to cadaver donors in Germany and for an international reader, it would be helpful to know what percentage of the total donors in Germany come from live donation and what is the temporal trends of that. In some regions of the world, increasing number of live donations, that have better outcomes, accounts for some of the decreased deceased donations. Since 2010, the number of living kidney donations has decreased in Germany from 665 (22.6% of all kidney donations) to 557 (29% of all kidney donations) in 2017. Therefore, a rising number of living kidney donations cannot be made responsible for the falling donation numbers in Germany. We included this important aspect into our manuscript at page 4, line 91ff: „This described decline is mostly due to a reduction of deceased organ donations. While the number of deceased kidney donations dropped in this time from 2,272 to 1,364 by 40%, the number of living donations decreased only slightly from 665 to 557 [1].“ Reviewer #2: In their paper Evaluation of the undetected organ donor potential in Germany, Esser et al examined data from the German Federal Statistical Office to evaluate number of potential organ donors at German hospitals of different sizes and location and compared that to data from the German Foundation for organ donation.They found that the number of unidentified potential organ donors was greatest at so-called category C hospitals - those with ICUs but no neurological service - significantly in the largest quartile of category C hospitals. They found no difference in unidentified potential organ donors based on population size of the regions service by the hospitals. They concluded that about a third of the unmet demand for kidney transplants could be better met by better identification of potential donors in the larger category C hospitals. Their paper is interesting but raises several questions that need to be addressed. 1. Whose responsibility is it to identify potential organ donors? Is the problem that insufficient attention is being paid by hospital staff to notifying the DSO. Or is the problem that the DSO lacks the resources to perform outreach to these hospitals. The paper needs a little more background on the usual practices by which potential organ donors are identified and how their donation is realized. In Germany, hospitals are responsible for identifying and reporting potential organ donors to the DSO. The DSO, on the other hand, is responsible for accompanying the interviews with the relatives and organising the explantation. We have changed the following text passages in order to make the task of the DSO and the hospitals in Germany clearer: p. 4, lines 110-111: “…, who is responsible for coordinating organ donation and removal in Germany, …” p. 5, lines 118ff.: „We were also able to show that the decrease in organ donations is due to a reporting and recognition deficit of potential organ donors in German hospitals, who bear the core responsibility for reporting potential organ donors to the DSO.“ 2. The authors argue that the decline in organ donation is due to the number of unidentified potential donors. But they only provide one year of data and don’t show that that this number is growing. While their paper doesn’t make the case that this is the reason, it does seek to show that improving identification of potential donors would be a way to slow the decline. In a much acclaimed preliminary study we were able to show that the number of potential organ donors in Germany increased by 13.9% from 2010 to 2015, while the number of contacts between hospitals and the DSO decreased by 18.6% (Schulte K, et al. Decline in Organ Donation in Germany. Deutsches Arzteblatt international. 2018). We have improved the following passage to clarify this aspect: p.5, lines 120ff „Although the number of potential organ donors increased by 13,9% from 2010 to 2015, 18.6% fewer potential organ donors were reported by hospitals [8].“ 3. Why were patients with brain injury not on mechanical in greater numbers at category C hospitals? Since the category C hospitals don’t have neurosurgery departments, is the implication was that these patients were not considered candidates for mechanical ventilation because their chances for recovery of meaningful brain function were considered poor? Is there any mechanism in Germany for transferring these patients to an A or B category hospital for neurosurgery evaluation? This is perhaps beyond the scope of the paper but gets to me next question... This is a very interersting and important question. Unfortunately, our analysis algorithm does not allow us to answer this point properly. Of course, there is the possibility in Germany to transfer patients with severe neurological diseases from a category C hospital to a category A or B hospital. However, there are no national guidelines and no traceable documentation for these cases. In our view, this finding points to a serious quality problem in the care of neurological and neurosurgical diseases in category C hospitals. However, further investigations are necessary to characterize this in more detail. 4. What are the solutions for tapping this underutilized potential source of organ donors and what efforts are underway to do that. In my limited experience taking organ call at a US hospital, I often receive organ offers from potential donors who presented to small hospital, were identified with severe head trauma, intubated and sent to a larger center for neurosurgery evaluation. They are considered inoperable candidates and are referred to the organ procurement organization as potential organ donors. What is the system in place in Germany? In Germany, every hospital (categories A, B and C) must appoint a transplant coordinator. Since the last amendment to the transplant law in 2019, it has been ensured that the transplant coordinators are at least partially released from their other clinical activities for this purpose. In addition, a nationwide neurological consultation service was established in 2019 to ensure that brain death diagnosis can be carried out promptly in rural regions as well. As our investigation now shows, this measure would probably not have been necessary, as the identification of potential organ donors in rural regions is not worse than in urban areas. Furthermore, since 2019 hospitals are paid considerably better when they make organ donations. Despite all these measures, the number of organ donors has not increased in 2019 compared to 2018 but decreased, from 955 to 932 donors. Interestingly, we were able to show in a preliminary study (reference year 2015) that the number of organ donors differs between different German hospitals in some cases by more than a factor of 15. Of note, the number of potential organ donors did not differ between these hospitals! It is important to note that there was a full-time transplant coordinator in each of these hospitals. Furthermore, all hospitals were compensated equally for their work, so this cannot explain the differences either. Unfortunately, due to considerable resistance, we have not yet been able to go beyond an analysis of the accounting data. It is therefore not known why one hospital reports almost all potential organ donors and the other almost none to the DSO. For this reason, we believe that an external quality assurance is necessary, which fortunately was also initiated by German politicians in 2018 (see p.14, lines 339ff). In autumn of this year, it will be publicly visible for the first time, which hospitals have not reported their potential organ donors to the DSO. We hope that the present study will help to ensure that the focus of politicians and decision-makers is then directed to where the greatest untapped potential can be found. We have revised the first passage of our discussion to point out this issue more deeply (p.14, lines 322ff, p.15, lines 344ff). 5. The title of the article needs to reflect the substance of the article. I would suggest something like “Evaluation of underidentification of potential organ donors in German Hospitals”. Thank you very much for this suggestion, which we have gladly taken over. 6. At several points early in the paper, the authors refer to the different categories of hospitals as “clinics”. To avoid confusion and maintain consistency, I would refer throughout the paper to category A, B and C hospitals. We have now consistently used the term "A, B or C hospital" in our manuscript. 7. On line 101, the authors refer to the organ scandal of 2012 as a potential reason for the decline, but then without providing any background on the scandal, they say this doesn’t fit with the facts. Maybe better to take this reference out if it isn’t relevant. Otherwise they need some explanation of the scandal. In 2012, it became known that a few doctors had falsified their patients' records to increase their rank on the waiting list. This malpractice received a great deal of public attention in Germany. Politicians, doctors and association officials have repeteadly seen this scandal as the reason for the declining organ donation figures in Germany. Although this explanation may seem plausible at first glance, several findings clearly indicate that this scandal cannot be the leading cause of the declining numbers: 1.) The organ donation figures had already fallen significantly in the two previous years (2010 and 2011). 2.) No change in the attitude of the population could be measured after the scandal, although the Federal Centre for Health Education regularly conducts major studies on this issue. In our opinion, it is very important to make it clear once again that the declining organ donation numbers in Germany are not an expression of a change in the attitude of the population but are due to process problems in German hospitals. Therefore, we have not deleted this section, but have revised it to make the background more understandable. This passage now reads following: p. 4, lines 96ff „In 2012 it became known that some doctors had falsified their patients` data in a few cases in order to gain an advantage for them on the waiting list. This organ allocation scandal is regarded by many as the main reason for the declining organ donation numbers. They argue that this scandal has a sustainable negative impact on the public`s attitude towards organ donation.“ 8. Why did they look at only one year’s worth of data, and why not chose a more recent year? In a previous study (Schulte K, et al. Decline in Organ Donation in Germany. Deutsches Arzteblatt international. 2018.) we analysed the accounting data for the years 2010 to 2015 and looked at longitudinal changes. The main goal of this study was to examine the distribution of potential organ donors within one year, which is why we concentrated on the analysis year 2016. On the second point: The German Federal Statistical Office receives the hospital billing data after a significant delay, which is why the data set for 2017 is still not available for scientific purposes. Therefore, we were not able to analyze the data from 2017 or even 2018. 9. Line 191 please confirm the direction of the arrow. Are rural population really defined as “great than” 150 residents per square kilometer? Or should that be less than. Thank you for this hint! We corrected the direction ot the arrow (p.8, line 196). 10. Please define the term agglomeration for readers who are not demographers, or provide an example of such a region in Germany We added some examples for such a region in Germany to make the term more comprehensible. p.9, line 204: „The third region type, agglomeration areas, is defined by a regional metropolis >300,000 residents or a population density of about 300 residents/km² (e.g. Berlin, Hamburg or Munich).“ Submitted filename: Response to Reviewers.docx Click here for additional data file. 9 Nov 2020 Evaluation of underidentification of potential organ donors in German hospitals PONE-D-20-20570R1 Dear Dr. , We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Larry Allan Weinrauch, MD Academic Editor PLOS ONE Additional Editor Comments (optional): It will be interesting to see their followup once more data becomes available from the DSO and whether efforts yield an increase in donations from the largest category C hospitals. It would be nice too see a chart with the differences in live related, live unrelated and cadaveric grafts Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: I am satisfied with the answers. Still, it would be nice to have a figure to show the changes in deceased vs live donations in Germany in the comparison period. Reviewer #2: The authors have addressed my concerns and comments fully. It will be interesting to see their followup once more data becomes available from the DSO and whether efforts yield an increase in donations from the largest category C hospitals. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Bijan Roshan, MD Reviewer #2: No 11 Nov 2020 PONE-D-20-20570R1 Evaluation of underidentification of potential organ donors in German hospitals Dear Dr. Schulte: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Larry Allan Weinrauch Academic Editor PLOS ONE
  13 in total

1.  Medicare and Medicaid programs; hospital conditions of participation; identification of potential organ, tissue, and eye donors and transplant hospitals' provision of transplant-related data--HCFA. Final rule.

Authors: 
Journal:  Fed Regist       Date:  1998-06-22

2.  [Organ transplantation in Germany: Critical examination in times of scarce resources].

Authors:  A Haverich; H Haller
Journal:  Internist (Berl)       Date:  2016-01       Impact factor: 0.743

3.  Organ Donor Cards in Resuscitation Room Patients.

Authors:  Max Küpers; Marcel Dudda; Max Daniel Kauther; Bernd Schwarz; Saskia Anastasia Hausen; Karl-Heinz Jöckel
Journal:  Dtsch Arztebl Int       Date:  2020-03-13       Impact factor: 5.594

4.  Decline in Organ Donation in Germany.

Authors:  Kevin Schulte; Christoph Borzikowsky; Axel Rahmel; Felix Kolibay; Nina Polze; Patrick Fränkel; Susanne Mikle; Benedikt Alders; Ulrich Kunzendorf; Thorsten Feldkamp
Journal:  Dtsch Arztebl Int       Date:  2018-07-09       Impact factor: 5.594

Review 5.  Quality of life following organ transplantation.

Authors:  Patrizia Burra; Manuela De Bona
Journal:  Transpl Int       Date:  2007-05       Impact factor: 3.782

6.  In-house coordination for organ donation--single-center experience in a pilot project in Germany (2006 to 2013).

Authors:  G M Kaiser; U Wirges; S Becker; C Baier; S Radunz; H Kraus; A Paul
Journal:  Transplant Proc       Date:  2014 Jul-Aug       Impact factor: 1.066

7.  Estimating the number of potential organ donors in the United States.

Authors:  Ellen Sheehy; Suzanne L Conrad; Lori E Brigham; Richard Luskin; Phyllis Weber; Mark Eakin; Lawrence Schkade; Lawrence Hunsicker
Journal:  N Engl J Med       Date:  2003-08-14       Impact factor: 91.245

8.  [How many potential organ donors are there really? : Retrospective analysis of why determination of irreversible loss of brain function was not performed in deceased patients with relevant brain damage].

Authors:  M Brauer; A Günther; K Pleul; M Götze; C Wachsmuth; T Meinig; M Bauer; O W Witte; A Rahmel
Journal:  Anaesthesist       Date:  2018-11-16       Impact factor: 1.041

9.  The OPTN Deceased Donor Potential Study: Implications for Policy and Practice.

Authors:  D K Klassen; L B Edwards; D E Stewart; A K Glazier; J P Orlowski; C L Berg
Journal:  Am J Transplant       Date:  2016-03-10       Impact factor: 8.086

10.  Rates of solid-organ wait-listing, transplantation, and survival among residents of rural and urban areas.

Authors:  David A Axelrod; Mary K Guidinger; Samuel Finlayson; Douglas E Schaubel; David C Goodman; Michael Chobanian; Robert M Merion
Journal:  JAMA       Date:  2008-01-09       Impact factor: 56.272

View more
  1 in total

1.  An Automated Electronic Screening Tool (DETECT) for the Detection of Potentially Irreversible Loss of Brain Function.

Authors:  Anne Trabitzsch; Konrad Pleul; Kristian Barlinn; Volkmar Franz; Markus Dengl; Monica Götze; Andreas Güldner; Maria Eberlein-Gonska; Detlev Michael Albrecht; Christian Hugo
Journal:  Dtsch Arztebl Int       Date:  2021-10-15       Impact factor: 8.251

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.