| Literature DB >> 30282094 |
Clemens Scott Kruse1, Gabriella Marquez1, Daniel Nelson1, Olivia Palomares1.
Abstract
BACKGROUND: Legislation aimed at increasing the use of a health information exchange (HIE) in healthcare has excluded long-term care facilities, resulting in a vulnerable patient population that can benefit from the improvement of communication and reduction of waste.Entities:
Mesh:
Year: 2018 PMID: 30282094 PMCID: PMC6170191 DOI: 10.1055/s-0038-1670651
Source DB: PubMed Journal: Appl Clin Inform ISSN: 1869-0327 Impact factor: 2.342
Fig. 1PRISMA checklist.
Fig. 2Search criteria with inclusive and exclusion criteria.
Appendix AKappa statistic calculation
Facilitators and barriers
| Facilitators | Barriers |
|---|---|
| Ease of data transfer | Inefficiency |
| Reduce healthcare costs | Cost |
| Government funding | Low usage/Adoption |
| Adoption of EHR is likely to use HIE | Competing organizations |
Abbreviations: EHR, electronic health record; HIE, health information exchange.
Table of observations, themes, bias, and limitations
| Authors | Facilitator observations | Themes | Barrier observations | Themes | Bias | Limitations |
|---|---|---|---|---|---|---|
|
Cross and Adler-Milstein
| Policy initiatives have improved transitions between hospitals and LTC providers by incentivizing better coordination and promoting the adoption of IT and information sharing. Analysis of 2014 hospital survey data has indicated that the majority of hospitals routinely engage in electronic exchange | Organizational structure/culture | Self-assessments of HIE implementation may result in inaccurate results. Measures used for HIE implementation vary, so interpretation across boundaries is inaccurate | Missing/incomplete data | Self-report data are subject to bias such as social acceptability | The measure of hospital exchange was limited to SCR with LTC providers, and there may have been other types of exchange. This would tend to understate the applicability of the results of this study |
|
Meehan and Staley
| Usage of HIE in LTCs has shown a reduction in readmission rates due to less transcription errors | Increase effectiveness of care | Because LTCs do not qualify for meaningful use incentives, they are less likely to personally invest into an EHR system of their own and hence health information exchange | Cost | None identified | Study limited to ACOs, so generalizability outside of the ACO is greatly limited |
| Faster and more accurate billing | Workflow integration/augmentation | The ACO already struggles with communication within its complex organizational structure; communicating outside the organization is a large barrier | Inefficiency | |||
| Overall improved quality of documentation and reduced costs to the patient associated with duplicate tests/orders the patient has recently had done in a previous office | Workflow integration/augmentation | |||||
| Reduce healthcare cost | ||||||
|
Meehan
| HIE can be used to expedite information during the transition of care from acute hospitals to the LTC | Efficiency | At best, acute care staff's inaccurate completion of the EHR | Missing/incomplete data | Workplace bias: staff interviewed had access to the HIE which partially justified their role at the long-term post-acute care facility |
Small sample size (
|
| This patient group especially requires management of multiple chronic illnesses that contribute to their overall plan of care | Increase effectiveness in the management of care | Results in an inefficient process (staff making follow-up phone calls to clarify on orders, tests) | Inefficiency | |||
| The systems provide a seamless exchange of patient data that ultimately improve quality of care and improve productivity. Many organizations are in the early stages of implementation and are focusing on the benefits of implementation of EHRs | Ease of data transfer | At worst, these gaps can adversely affect the patient and create a readmission | Organizational structure/culture | |||
| Workflow integration/augmentation | ||||||
|
Jamoon et al
| This nationwide study by the U.S. DHHS reports on how many private practices have implemented EHR systems since ONC certified the systems as meeting the meaningful use criteria. The report states 15% of these practices are actively sharing information with LTCs | Adoption of EHR | None identified | None identified | None identified | Based on secondary data (National Ambulatory Medical Care Survey) which may not be the test data to answer the research question |
|
Towne et al
| The location of an organization (rural or urban) was not found to be a limitation, with rural organizations actually having higher rates of adoption of EHRs and HIE technology | Adoption of EHR | Increasing number of individuals reaching the age in which LTC is required puts an additional strain on the already strained healthcare system | Organizational structure/culture | Self-report data may be subject to bias such as social responsibility | A cross-sectional study does not provide trends over time. Data were limited to the 2010 NSRCF dataset and compared with the 2012 data. Data were limited to the facility level, and therefore inferences could not be made to any other size organization. No data to enable inferences to rural health |
| Receptive leadership | Organizational structure (process)/culture | Overburdened staff | Inefficiency | |||
| Proper funding | Adequate funding | Cost | Cost | |||
|
Alexander et al
| The research team found that assembling a network of providers that express the unique needs of the organization is critical for proper implementation of EHRs and HIEs in a nursing home or long-term care facility. HIE incorporated into existing workflows.Participation in the HIE both in and out of the facility | Workflow integration/augmentation | The proper implementation of EHRs, and much less HIEs, is contingent on successful staff training | Tech support | None identified | The leadership team for the organization was not present during the interviews. |
| Appropriate training and retraining | Tech support | High turnover in nursing homes and similar organizations negatively affects the implementation of these IT processes | Organizational structure/culture | |||
| Getting others to use the HIE | Market conditions | |||||
| Getting the HIE operational | Tech support | |||||
| Putting policies for technology in place | Organizational structure/culture | |||||
|
Filipova
| Quicker billing was identified as a facilitator to the implementation of EHRs and HIE in long-term care facilities. Improving the speed of tasks and functions is a benefit that may serve as an incentive when no government-provided incentive exists | Workflow integration/augmentation | Financial costs associated with the implementation of HIEs has limited organizations, to the point that some organizations do not even have the technical capacity for public health reporting purposes | Cost | None identified | None identified |
| Tech support | ||||||
| Nurses do not have the proper training | Lack of training | |||||
|
Yeaman et al
| The implementation of an HIE and HIT has resulted in a decrease in the number of readmissions following the study. This sheds light on the true benefits of HIE implementation | Increase effectiveness of care | The importance of an HIE cannot be overstated in LTC organizations because patients have much higher healthcare needs than other populations (comorbid conditions, take multiple medications, etc.). The biggest barrier experienced was a necessary cultural change | Organizational structure/culture | None identified |
Small sample (convenience sample,
|
|
Peters and Bunkers
| The coordination of chronic care has been identified as requiring the assistance of many individuals. Providing accurate information is critical to the implementation of a successful HIE | Enhance communication | Billing and CPT coding procedures must be properly understood by the provider and the patient. If this is not the case, the reported information may be incorrect and not of use to the medical benefit of the patient. Comorbidities exacerbate the possibility of confusion, a commonality among the geriatric population | Missing/incomplete data | Not a study | |
|
Hill et al
| HIEs have been demonstrated as efficient aids to physicians by allowing a more in-depth, long-term view into the patient's history | Efficiency | Currently, “unique” identifiers may pose issues if organizations overlap the format used as a unique identifier | Lack of data standards | Not a study | |
| Increase effectiveness of care | Formats for storing medical records create silos that resist sharing | Missing/incomplete data | ||||
|
Alexander et al
|
Researchers implemented process improvement measures in a geographic location with some of the highest rates of 30-d readmissions. The 16 organizations in the study were receptive to
| Organizational structure/culture | Network pitfalls can occur as a result of poor network planning or improper alignment with clinical workflow | Tech support | None identified | Additional technological and human resources are difficult to come by for every organization |
| Use cases were helpful | Market conditions | Every facility needed additional technological and human resources to build the HIE network | Organizational structure/culture | |||
|
Hassol et al
| The introduction of an HIE to facilitate the exchange of information necessary to create continuity of care documents was well received among long-term care providers | Organizational structure/culture | IT constraints in the long-term care setting | Tech support | None identified | Only 29 of the 51 HIEs responded, which may limit generalizability to all HIEs |
| The proper exchange of information will result in safer transitions of patients into the long-term care setting | Patient safety | LTC organizations receive no incentive for the adoption of HIT initiatives | Cost | |||
|
Abramson et al
| Organizations with an EHR were found to be 2.5 times more likely to participate in some form of HIE, although the most common HIE mechanism in place is in correspondence with pharmacies | Adoption of EHR | Lack of fiscal incentives for HIT adoption | Cost | Data collection bias because not all surveys were complete | Only conducted in New York City, so external validation cannot be assured. Not all surveys were completed, which made conclusions less than robust |
| Although there is no financial incentive for nursing home adoption, organizations have adopted due to the demonstrable benefits of improved communication | Enhance communication | Lack of interoperability with current systems | Lack of data standards | |||
| Initial cost of acquisition | Cost | |||||
| Competing priorities | Organizational structure/culture | |||||
| Ongoing cost of maintaining an EMR | Cost | |||||
|
Richardson et al
| Data transfer via HIE quickly aggregates patient record data from various HIE sources and distributes patient status info to the entire clinical team (not just one clinician) | Ease of data transfer | Interorganizational HIE data transfer. Lack of competing stakeholder buy-in | Organizational structure/culture | The study was performed within the researchers' own facility, which could bias the data itself | No ED physician interviews to augment data collection |
| Enhance communication | Misalignment with clinical workflows that inhibited use of HIE-based patient transfer data | Inefficiency | ||||
|
Campion et al
| The implementation of data sharing among organizations has been found to reduce healthcare costs | Reduce healthcare cost | Technological maturity | Market conditions | Self-report data may be subject to bias such as social responsibility.Participants were not provided a clear definition of barriers to adoption, so their responses may threaten construct validity | Small sample size brings into question whether it properly represents the population. |
| Vendor participation | Market conditions | |||||
| Privacy and security | Privacy and/or security | |||||
| Regulatory requirements | Legal environment | |||||
| Technical support | Tech support | |||||
| Organizational structure | Organizational structure/culture | |||||
| Workflow integration | Inefficiency | |||||
| Data standards | Lack of data standards | |||||
| Provider attitudes | Organizational structure/culture | |||||
| Financial resources | Cost | |||||
| Health plan participation | Market conditions | |||||
|
Lyngstad and Hellesø
| Lack of communication is a leading cause of error in healthcare | Enhance communication |
Once implemented, a distinct limitation remains that EHRs contain retrospective patient data and caregivers need systems for means of
| Missing/incomplete data | Selection bias leaned toward more experienced workers, so external validity is limited | Only examined Norwegian organizations |
| Decrease adverse events | Increase effectiveness of care | |||||
| Save time | Workflow integration/augmentation | |||||
| Patient safety | Patient safety | |||||
|
Wang et al
| Hospital-based LTCs and/or nursing homes have a greater likelihood of adopting EHR systems into their practice (especially if in a rural location) | Adoption of EHR | Organizational barriers to EHR systems in LTCs include number of beds, urban or real location, hospital-based or freestanding, and for-profit or nonprofit | Market conditions | None identified | There is no unanimous agreement on measuring HIT adoption |
| Ultimately this will increase productivity among staff and providers | Workflow integration/augmentation | |||||
| IT acceptance is influenced by performance expectancy, effort expectancy, social influence, and voluntariness | Organizational structure/culture | |||||
|
MacTaggart and Thorpe
| The report summarizes how LTCs can facilitate patient care using current technologies and provides measures for success utilizing government resources and their employees | Proper funding | Funding continues to serve as the main problem in implementing HIT tools at LTCs | Cost | Not a study | |
|
Kessler et al
| This very comprehensive review of over 200 articles on the elderly patients' transition from nursing homes to the ED gives a fairly accurate portrayal of current issues and also provides some recommendations as solutions | None identified | The article reinforces the common theme that a primary barrier of treating the elderly is a lack of communication between all facilities | Inefficiency | Cognitive bias and behavioral bias | None identified |
| Lack of training | Lack of training | |||||
|
Hamann and Bezboruah
| Analysis of an organization's tax status provides insight on HIE use rates, as well as rates of implementation of IT mechanisms. Nonprofit organizations are shown to be more likely to utilize EHRs than their for-profit counterparts | Organizational structure/culture | Privacy reasons can function to reduce the likelihood of statistically significant results | Privacy and/or security | None identified | Limited sample also limits the external validity |
| Regulatory requirements also function differently on a state-to-state basis and can skew the continuity of results | Legal environment | |||||
|
Wolf et al
| Organizations left out of adoption incentives require the greatest assistance in the adoption of technology and demonstrate a tremendous need for IT due to the population needs | Tech support | Current survey questions utilized do not properly assess the need of EHRs in LTC facilities. Survey questions should be modified to accurately depict the need | Missing/incomplete data | Nonresponse bias from ineligible hospitals (countered by weighting). | Secondary data were used which may not properly address the research question |
|
Kern et al
| All facilities the authors reached out to participated in the survey. Also, they all received the same type of state funding toward EHR implementation (HEAL 1 grantees). The study assessed facilities based in New York, where there is the largest state-based investment (nationwide) of EHRs and HIE systems. New York can serve as a model and the study has national implications as the country is moving toward continued investment in HIT infrastructure | Proper funding | The sample size (26) is a major limitation, and the results were of borderline statistical significance. The study also questions only one type of grant recipient, although the state has various HIE grants. The results may vary if the study is readministered with all of the HEAL program grantees | Cost | None identified | Small sample size and results that were borderline significant. The latter was helped by large effect sizes. Only one source of funding was examined. |
Abbreviations: ACO, accountable care organization; ED, emergency department; EHR, electronic health record; HIE, health information exchange; HIT, health information technology; LTC, long-term care.
Affinity matrix of facilitator themes in the literature
| Facilitators | ||
|---|---|---|
| Theme | References | No. of occurrences |
| Organizational structure/culture |
| 7 |
| Workflow integration/augmentation |
| 6 |
| Increase effectiveness of care |
| 5 |
| Enhance communication |
| 4 |
| Adoption of EHR |
| 4 |
| Proper funding |
| 3 |
| Patient safety |
| 2 |
| Ease of data transfer |
| 2 |
| Efficiency |
| 2 |
| Market conditions |
| 2 |
| Reduce healthcare cost |
| 2 |
| 39 | ||
Abbreviation: EHR, electronic health record.
The asterisk by the reference number indicates that the theme occurred within the article multiple times.
Affinity matrix of barrier themes in the literature
| Barriers | ||
|---|---|---|
| Theme | References | Occurrences |
| Cost |
| 10 |
| Organizational structure/culture |
| 9 |
| Missing/incomplete data |
| 6 |
| Inefficiency |
| 6 |
| Market conditions |
| 4 |
| Lack of data standards |
| 3 |
| Privacy and/or security |
| 2 |
| Lack of training |
| 2 |
| Legal environment |
| 2 |
| 44 | ||
The asterisk by the reference number indicates that the theme occurred within the article multiple times.
Facilitator themes with internal/external association
| Facilitators | |
|---|---|
| Theme | |
| Workflow integration/augmentation | Internal |
| Organizational structure/culture | Internal |
| Enhance communication | Internal |
| Increase effectiveness of care | Internal |
| Patient safety | Internal |
| Adoption of EHR | Internal |
| Proper funding | External |
| Ease of data transfer | Internal |
| Efficiency | Internal |
| Market conditions | External |
| Reduce healthcare cost | Internal |
Abbreviation: EHR, electronic health record.
Barrier themes with internal/external association
| Barriers | |
|---|---|
| Theme | |
| Organizational structure/culture | Internal |
| Cost | External |
| Missing/incomplete data | Internal |
| Inefficiency | Internal |
| Market conditions | External |
| Lack of data standards | External |
| Privacy and/or security | External |
| Lack of training | Internal |
| Legal environment | External |
Detail of study design, quality, care setting, and critique of study
| Authors | Study design | 0 = Qualitative | Quality | Critique of study | Care setting |
|---|---|---|---|---|---|
|
Cross and Adler-Milstein
| Cross-sectional, quantitative study; secondary data analysis | 1 |
High-quality, large sample (
| Confounders not considered for effects attributed to HIE. Number of LTC facilities at the other end of HIE communication not identified. Region of country not identified | Hospitals and long-term care facilities |
|
Meehan and Staley
| Review | 2 |
Moderate-quality review of several good-quality studies (
| Narrow focus of the study makes its conclusions difficult to use outside ACOs. Study limited to ACOs, so generalizability outside of the ACO is greatly limited | Outpatient |
|
Meehan
| Qualitative, interview-based study | 0 |
Moderate-quality, small sample size for social sciences (
| Were staff members interviewed the right people to know? Were confounding factors properly considered for effects queried about? ACOs may not be old enough to really know proper cause and effect relationships | Long-term post-acute care |
|
Jamoon et al
| Data brief | 4 | High-quality data brief summarizing EHR adoption rates nationwide 2013 to 2014 | None | office-based care |
|
Towne et al
| Cross-sectional, quantitative, using secondary data | 1 |
High-quality, large sample (
| Self-report data were not followed up with telephone calls or emails to question or extend the data | Residential-care facilities |
|
Alexander et al
| Qualitative, interview-based study | 0 |
Moderate-quality, small sample for social sciences (
| Limited scope of study prevents applying results external to the small number of organizations interviewed. Level of experience of the leaders interviewed was not normalized for comparison | Nursing homes |
|
Filipova
| Qualitative, interview-based study | 0 |
High-quality study, good sample size (
| Cofounding factors for findings not explored | skilled nursing facilities |
|
Yeaman et al
| Retrospective, quantitative design | 1 |
Marginal quality with a very small sample for social sciences (
| Confounding factor of readmission rates decreasing across the nation was not explored. Was the effect reported attributable to the use of HIE or to natural national trend? The researchers noted that it is doubtful that their findings could be duplicated, which sheds doubt on the scientific nature of this study | Long-term care and acute-care settings |
|
Peters and Bunkers
| Editorial | 4 | N/A | Chronic care management, office-based and home-based care | |
|
Hill et al
| Editorial | 4 | N/A | Hospital-based, office-based | |
|
Alexander et al
| Mixed method | 2 |
Good-quality, moderate-sized sample for social sciences (
| Researchers did not follow up surveys with calls, nor did they attempt to contact those HIEs that did not respond. Valuable information could have been gathered from these other means of communication | Nursing homes |
|
Hassol et al
| Mixed method | 2 |
Good-quality, moderate-sized sample for social sciences (
| Researchers did not follow up surveys with calls, nor did they attempt to contact those HIEs that did not respond. Valuable information could have been gathered from these other means of communication | Long-term acute-care settings |
|
Abramson et al
| Cross-sectional, mixed methods | 2 |
Good-quality, moderate-sized sample for social sciences (
| Researchers limited their study to the state of New York, which makes it difficult to apply their results elsewhere. It would have been helpful if the researchers had contacted the nursing homes that did not respond to the survey to promote their participation | Nursing homes |
|
Richardson et al
| Semistructured telephone and in-person interviews with informaticians, healthcare administrators, software engineers, and providers | 0 |
Good-quality, moderate-sized sample for social sciences (
| Research was conducted with inherent bias because it was within the researcher's own facility | Skilled nursing facility |
|
Campion et al
| Cross-sectional retrospective study using secondary data | 1 |
Moderate quality with a small sample size for social sciences (
| This is another study that was limited to the state of New York. It would have been better if the study would have extended beyond one state so that results could have been more widely applied | None |
|
Lyngstad and Hellesø
| Cross-sectional, mixed methods study | 2 |
Good quality with large sample (
| Factors not considered were personal preferences for communication and generational differences in acceptance of technology | Home health |
|
Wang et al
| Cross-sectional, mixed methods study | 2 |
Good quality, good sample (
| This study design seemed to be driven more by budget than by intention | Long-term care |
|
MacTaggart and Thorpe
| Editorial | 3 | N/A | Long-term care and post-acute care settings | |
|
Kessler et al
| Review | 3 |
High-quality review (
| N/A | Geriatric care transitions to ED |
|
Hamann and Bezboruah
| Retrospective, mixed design, using secondary data | 2 |
High-quality using good sample size (
| None | Nursing homes |
|
Wolf et al
| Retrospective, quantitative design, using secondary data | 1 |
High-quality using large sample (
| The dataset from the AHA could have been augmented with the dataset from HIMSS to corroborate trends and findings |
Long-term acute care (
|
|
Kern et al
| Longitudinal cohort study of community-based organizations fu | 2 |
Moderate-quality, small sample size for social sciences (
| None | Inpatient and outpatient. Surveys included all participating HIE organizations in New York state |
Abbreviations: ACO, accountable care organization; AHA, American Hospital Association; EHR, electronic health record; HIE, health information exchange; HIMSS, Healthcare Information and Management Systems Society; HIT, health information technology; LTC, long-term care.
A caution should be noted that in qualitative research, more is not necessarily better because a larger sample might indicate a lack of depth of interview.