Employment status and its associated factors for patients 12 months after intensive care: Secondary analysis of the SMAP-HoPe study.

BACKGROUND: Returning to work is a serious issue that affects patients who are discharged from the intensive care unit (ICU). This study aimed to clarify the employment status and the perceived household financial status of ICU patients 12 months following ICU discharge. Additionally, we evaluated whether there exists an association between depressive symptoms and subsequent unemployment status.
METHODS: This study was a subgroup analysis of the published Survey of Multicenter Assessment with Postal questionnaire for Post-Intensive Care Syndrome for Home Living Patients (the SMAP-HoPe study) in Japan. Eligible patients were those who were employed before ICU admission, stayed in the ICU for at least three nights between October 2019 and July 2020, and lived at home for 12 months after discharge. We assessed the employment status, subjective cognitive functions, household financial status, Hospital Anxiety and Depression Scale, and EuroQOL-5 dimensions of physical function at 12 months following intensive care.
RESULTS: This study included 328 patients, with a median age of 64 (interquartile range [IQR], 52-72) years. Of these, 79 (24%) were unemployed 12 months after ICU discharge. The number of patients who reported worsened financial status was significantly higher in the unemployed group (p<0.01) than in the employed group. Multivariable analysis showed that higher age (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.03-1.08]) and greater severity of depressive symptoms (OR, 1.13 [95% CI, 1.05-1.23]) were independent factors for unemployment status at 12 months after ICU discharge.
CONCLUSIONS: We found that 24.1% of our patients who had been employed prior to ICU admission were subsequently unemployed following ICU discharge and that depressive symptoms were associated with unemployment status. The government and the local municipalities should provide medical and financial support to such patients. Additionally, community and workplace support for such patients are warranted.

Introduction

Returning to work following discharge from the intensive care unit (ICU) is a serious issue. A systematic review and meta-analysis of 52 studies on returning to work among previously critically ill patients indicated that delayed return to work and unemployment were common and persistent problems [1]. These studies showed that 36% of patients were subsequently unemployed at 12 months following ICU admission. This change in employment status has a corresponding effect on household income. A study conducted in the United Kingdom suggested that 30% of ICU patients had a decline in household income even after 6 months to 1 year following ICU admission [2]. Additionally, a recent scoping review indicated that 34% of patients that underwent coronary artery bypass grafting or aortic valve replacement surgery never return to work [3].

Return to work is affected by not only the health of the patient but also the environment surrounding the patient. A systematic review of studies on patients with musculoskeletal and pain-related conditions and mental health conditions reported that workplace management was associated with duration of return to work [4]. National employment and disability policies could also contribute to the resumption of work productivity among those discharged from the ICU. Su et al. [5] have revealed that the disability policies of each country were related to the resumption of work productivity. Thus, it is worth evaluating how those discharged from the ICU fare regarding employment in each country. Notably, a prior study in Japan examined the employment status of those discharged from the ICU [6] and found that among 33 patients discharged from the ICU, 26 (83.9%) were able to return to work 6 months following ICU admission. However, the accuracy was insufficient owing to a small sample size. To increase the understanding of employment status among those discharged from the ICU, validation in a larger cohort is therefore warranted.

The factors associated with the unemployment of those discharged from the ICU had been examined in previous studies. Higher age, female sex [7], cognitive function [8], depressive symptoms [9], and physical disability and educational level [10] have been suggested to influence the unemployment status of those discharged from the ICU. However, these factors are inconsistent between studies [1]. Among the general population, absence due to sickness and depression are key factors influencing a longer duration of return to work [11].

Our study primarily aimed to elucidate the employment status and the perceived household financial status among those discharged from the ICU after 12 months. The secondary objective was to determine whether depressive symptoms were associated with subsequent employment status following discharge from intensive care.

Materials and methods

Study design

This study was a sub-analysis of the Survey of Multicenter Assessment with Postal questionnaire for Post-Intensive Care Syndrome (PICS) for Home Living Patients (SMAP-HoPe) study [12]. Nested within the SMAP-HoPe study, we conducted an ambidirectional study for patients living at home 12 months following ICU discharge. We sent postal surveys on PICS and employment status. Data from when the patients were admitted were obtained for retrospective analysis. Detailed methods were provided elsewhere in a distinct publication [12].

Setting

Twelve ICUs in Japan were included in this study. The detailed characteristics of each institution was shown in S1 Table.

Participants

The study population included patients who stayed in the ICU for at least 3 nights between October 2019 and July 2020 and were living at home 1 year after ICU discharge. Consecutive patients who had been discharged from the ICU 12 months prior were retrospectively enrolled using their medical records at the time of admission, and data on their current employment, economic, and health status were prospectively collected by mail survey. The detailed procedure of the recruitment process was previously published [12]. The number of patients in the previously published study was 754, with a response rate of 91.1%. In this secondary analysis of employment status, only patients aged ≥18 years and those who had been working prior to admission were included.

Variables/Instruments/Data source

Patients’ characteristics, including age, sex, diagnosis, APACHE II score, pre-existing disease, and length of ICU stay, were retrospectively collected by medical chart review. Status after 12 months following discharge from intensive care was collected through postal questionnaires, which explored work status, cognitive function, and Euro-QOL-5D-5L (EQ-5D-5L) [13]. EQ-5D-5L is a validated questionnaire [13], and the Japanese version is available upon request to the EuroQOL group (https://euroqol.org).

The questionnaire on employment status, household financial status, and subjective cognitive function is shown as S1 Text. Work status prior to ICU admission and present working status were classified according to the following scheme: unemployed, self-employed, employed part-time, and employed full-time. Additionally, we inquired about whether household finances changed compared with the period prior to ICU admission. The respondents selected between a three-point scale of “worse,” “no change,” or “better.” Cognitive function was measured using the following two simple questions that we developed owing to the lack of valid instruments for self-administration: “Do you think your memory function was impaired compared with before hospital admission?” and “Do you think your concentration function was impaired compared with before hospital admission?” Four-point Likert scales, from not at all (0), sometimes (1), frequently (2), and very frequently (3) were the acceptable responses. If the patient responded “very frequently” or “frequently” for either of the two questions, we defined them to have cognitive dysfunction. Usual activities were measured by some questions from the EQ-5D-5L. The response consisted of five levels, from having “no problems” performing usual activities to being “unable to do” their usual activities. We defined responses other than “no problems” or “slight problems” as evidence of physical dysfunction.

Severity of depression was measured by the Hospital Anxiety and Depression Scale (HADS) [14]. HADS comprises depression and anxiety subscales, and each subscale has seven components rated on a scale from 0 to 3. Subscales of depression are graded from 0 to 21. We used the Japanese version of HADS [15], which has been demonstrated to have good reliability and validity.

Bias

This study was a postal survey, and selection bias may exist; however, selection bias was minimized, given the high response rate in the original study from which this one was nested. Additionally, a state of emergency was declared by the government due to the coronavirus disease 2019 (COVID-19) pandemic in April 2020, which overlapped with the study period. This declaration may have had an impact on employment. This bias was assessed through sensitivity analysis. Furthermore, in several Japanese companies, the compulsory age of retirement was generally between 60 and 65 years. Compulsory retirement, other than the episodes of intensive care admission, may influence our results. Thus, we accordingly conducted sensitivity analysis to evaluate its effect on our findings.

Sensitivity analysis

We conducted sensitivity analyses to confirm whether our findings were robust. First, we calculated the percentage of unemployment after excluding patients who responded during the COVID-19 pandemic, as employment status after 12 months following ICU discharge may be influenced by the pandemic. It is worth noting that the employment status prior to ICU admission was not considered to be affected by COVID-19 since the respondents were asked to report their status from September 2018 to July 2019. We defined the period after April 2020 as the start of the COVID-19 pandemic because a state of emergency had been declared across the country on April 16, 2020. We calculated the proportion of unemployed patients after excluding those who provided their responses during this period. Second, 60 years old was the beginning of eligibility for compulsory retirement from employment [16]. Thus, we performed multivariable analysis after excluding patients aged ≤60 years and reviewed the impact of retirement age on our findings.

Statistical analysis

First, descriptive statistical analyses were performed. Continuous variables are expressed as the median (interquartile range [IQR]). The Wilcoxon rank-sum test was used for the comparison of continuous variables. The Chi-square test was used for categorical variables. We calculated the proportion of unemployed subjects stratified by age. For multivariable analysis, a multilevel generalized linear model (GLM) with a binomial distribution and log link was performed to clarify factors for unemployment. We predefined covariates including work status before ICU admission, age [7], sex [7], cognitive dysfunction [8], physical dysfunction [9], and severity of depression [10] based on previous studies. Additionally, we clarified the relationships between the severity of depression and physical dysfunction. The missing items of the HADS scale were imputed using the "half rule": if half of the items in a subscale were responded to, the mean of the responded scores was imputed [17]. Statistical analysis was performed using STATA IC ver. 16 (Statacorp, TX) and R 4.0.2 (The R foundation for Statistical Computing), and statistical significance was set at P <0.05.

Ethical considerations

This study was approved by the Human Research Ethics Committee of the Sapporo City University (approval number 1927–1). Additionally, ethical approval was obtained from all centers for the original studies. An explanatory document and consent form were sent to the study participants along with the study set. Participants were instructed to check a box on the consent form to confirm that they understood the study description and agreed to participate; at the three sites, patients confirmed their consent by writing their names on the form, as recommended by the respective institutional review boards.

Results

Fig 1 displays the patient inclusion process. The SMAP-HoPe study had 754 patients. We excluded 425 patients who were unemployed before ICU admission and one patient who did not provide an answer to the question of cognitive function. Thus, 328 patients were analyzed in this study. Of the 328 patients, 17 had partial deficits in HADS scores, all of which were imputed by the above method and therefore were not excluded.

Fig 1

Patient recruitment scheme.

Characteristics of the study population

The characteristics of the study population are shown in Table 1. The median age was 64 (IQR, 52–72) years, with a male predominance (n = 282, 86%). Approximately two fifths of the patients were admitted to the ICU after undergoing elective surgery. The number of patients receiving mechanical ventilation was 219 (66.8%), and the median duration of mechanical ventilation was 2 days. Of the 328 employed patients before ICU admission, the most frequent employment status was full-time employment (n = 156, 47.6%), followed by self-employed (n = 101, 30.8%). The characteristics of each institution, including number of participants and location, are shown in S1 Table.

Table 1

Demographic characteristics of employed and unemployed subjects 12 months after intensive care.

Variables	Participants (n = 328)	Employed (n = 249)	Unemployed (n = 79)	p-value
Age (years), median [IQR]	64 [52–72]	62 [50–71]	69 [62–75]	<0.001
Female, n (%)	46 (14.0)	32 (12.9)	14 (17.7)	0.271
Types of admission, n (%)
Elective surgery	149 (41.2)	109 (43.8)	37 (46.2)	0.697
Unscheduled admission	182 (55.5)	140 (56.2)	42 (53.2)	0.697
Unscheduled surgery	49 (14.9)	35 (14.1)	14 (17.7)	0.469
Reason for ICU admission, n (%)
CV surgery	122 (37.2)	87 (34.9)	35 (44.3)	0.183
CHF/AMI/Arrhy	57 (17.4)	46 (18.5)	11 (13.9)
Sepsis	34 (10.4)	21 (8.4)	13 (16.5)
Abdominal surgery	30 (9.1)	25 (10.0)	5 (6.3)
Other surgery	14 (4.3)	9 (3.6)	5 (6.3)
Trauma	14 (4.3)	13 (5.2)	1 (1.3)
ENT surgery	12 (3.7)	10 (4.0)	2 (2.5)
Aortic dissection (non-operative)	12 (3.7)	11 (4.4)	1 (1.3)
Acute renal failure	12 (3.7)	9 (3.6)	3 (3.8)
Others	21 (6.4)	18 (7.2)	3 (3.8)
Employment status before ICU admission, n (%)
Self-employed	101 (30.8)	86 (34.5)	15 (19.0)	<0.001
Full time	156 (47.6)	125 (50.2)	31 (39.2)
Part time	71 (21.6)	38 (15.3)	33 (41.8)
APACHE Ⅱ, median [IQR]	14 [10–19]	13 [9–19]	16 [13–19]	0.001
MV use, n (%)	219 (66.8)	157 (63.1)	62 (78.5)	0.013
MV (days), median [IQR]	2.0 [0.0–3.0]	2.0 [0.0–3.0]	2.0 [1.0–3.0]	0.041
Psychological history, n (%)	4 (1.2)	4 (1.6)	0 (0.0)	0.576
Delirium (days), median [IQR]	0.0 [0.0–1.0]	0.0 [0.0–1.0]	0.0 [0.0–2.0]	0.094
ICU LOS (days), median [IQR]	5.0 [4.0–7.0]	5.0 [4.0–7.0]	5.0 [4.0–7.0]	0.293
Hospital LOS (days), median [IQR]	26.0 [18.0–36.0]	25.0 [18.0–34.0]	27.0 [19.0–46.5]	0.192

IQR, interquartile range; CV, cardiovascular; CHF/AMI/arrhy, congestive heart failure/ acute myocardial infarction/arrhythmia; ENT, ear, nose, throat; APACHE Ⅱ, Acute Physiology and Chronic Health Evaluation Ⅱ; MV, mechanical ventilation; ICU, intensive care unit; LOS, length of stay; SMAP-HoPe, Survey of Multicenter Assessment with Postal questionnaire for Post-Intensive Care Syndrome (PICS) for Home Living Patients.

Characteristics of employed and unemployed patients

Among the 328 patients who were previously employed, 79 (24.1%; 95% confidence interval [CI], 19.7–29.1) were unemployed at 12 months following ICU discharge. A comparison of the patient characteristics between those employed and those unemployed after ICU discharge is shown in Table 1. The median age of those employed was significantly lower than that of those unemployed (62 years [50-71] vs. 69 years [62-75], p<0.01, respectively). At older ages, the percentage of unemployed patients was higher (S2 Table). The median APACHE II score of employed patients was lower than that of unemployed patients (13 [9-19] vs. 16 [13-19], p<0.001, respectively). The reasons for ICU admission between the employed and unemployed groups following intensive care was comparable (p = 0.183).

Employment status

Fig 2 shows the employment status between the period prior to ICU admission and 12 months following ICU discharge. Prior to ICU admission, there were 156 full-time employees. Of those, 31 (19.9%) were unemployed at 12 months following ICU discharge. Additionally, of the 71 patients with part-time employment, 33 (46.5%) were unemployed at 12 months following ICU discharge.

Fig 2

Change in work status before ICU admission and 12 months after ICU discharge.

Household financial status

Fig 3 shows the proportion of respondents stratified by employment status 12 months following ICU discharge who perceived lower household financial status. Approximately half of those unemployed perceived a worse financial status compared with the period prior to ICU admission (p<0.001).

Fig 3

Perceived change in household financial status before and after ICU admission.

The number of patients who perceived their home finances as worse 12 months after ICU discharge than before ICU admission was significantly higher among patients who were unemployed compared to those who were employed (p<0.001).

Multivariable analysis

Multilevel GLM showed that higher age, part-time or self-employed status prior to ICU admission, and greater severity of depressive symptoms were independent factors for unemployment status at 12 months following admission. The results of the multivariable analysis are shown in Table 2.

Table 2

Multivariable analysis of factors associated with unemployed status 12 months after intensive care unit discharge.

Variable	Odds ratio	95% CI	p-value
Age	1.06	1.03–1.08	<0.001
Male	0.70	0.31–1.58	0.393
Previous employment status
Part-time employed a	2.28	1.16–4.48	0.017
Self-employed a	0.27	0.12–0.60	<0.001
Cognitive impairment	1.08	0.39–2.95	0.886
Physical dysfunction	2.43	0.92–6.40	0.073
Severity of depression	1.13	1.05–1.23	0.003

aFull-time employment as a reference.

Relationships between severity of depression and physical dysfunction

The median severity of depression score was significantly higher in those with physical dysfunction than in those without physical dysfunction (8 [6-10] vs. 4 [2-7], p<0.01, respectively).

First, we calculated the proportion of the unemployed after excluding all patients who responded within the duration of the COVID-19 pandemic. There were 178 patients who were employed during the period prior to ICU admission and 40 unemployed patients. The unemployment rate was 22.4% (95% CI, 16.9–29.2). Second, we excluded those aged ≤60 years and conducted multilevel GLM following the same procedure as the primary analysis. Consequently, age was not determined to be an independent factor; however, worse depressive symptoms remained an independent factor among the unemployed (S3 Table).

Discussion

We determined that one-fourth of the patients who were previously employed prior to ICU admission were subsequently unemployed at 12 months following ICU discharge. Additionally, over half of the unemployed patients perceived worse household financial status compared to that in the period prior to ICU admission. Severity of depressive symptoms, higher age, and part-time or self-employed status prior to ICU admission were identified as independent factors for unemployment.

In this study, one-fourth of the patients who were previously employed prior to ICU admission were subsequently unemployed at 12 months following ICU discharge. A recent meta-analysis reported that 40% of patients did not return to work at 12 months following discharge from intensive care [1]. Compared with the aforementioned study [1], we found a relatively lower rate of unemployment. We attribute this discrepancy to three reasons.

First is the characteristics of patients admitted to the ICU. A previous study reported that 59.2% of patients in Japan entered the ICU after elective surgery compared with 42.3% in the USA and that fewer patient entered the ICU from the emergency department in Japan [18]. In the present study, 41.2% of the patients were also admitted to the ICU for elective surgery. This may be one of the reasons for the difference between our study and previous studies [1].

Second, although it has not always been the case in recent years, there was a “lifetime employment system,” which may be specific to Japan. Under this system, employees up to their 50s tend not to be laid off [19]. This may influence our findings because our study population had a median age of 64 years.

Third, disability policy in each country may influence the proportion of employees returning to work among patients discharged from intensive care. A recent systematic review and meta-analysis using meta-regression revealed that disability policies in each country positively affected the ability of ICU-discharged patients to return to work [5]. Based on the Organization for Economic Co-operation and Development (OECD) data, the integration index calculated from ten criteria, such as employment programs and government-provided job training, was higher in Japan than the median index of OECD [20].

Depressive symptoms are possibly associated with unemployment status after ICU discharge. We found that depressive symptoms were an independent factor associated with unemployment despite adjusting for covariates, including physical function and cognitive function. These findings are consistent with our hypothesis. A previous study suggested that depression was associated with not returning to work in Australia; however, the study did not conduct multivariable analysis [21]. The present study did not indicate causal relationships between unemployment and depression. Depression may lead to unemployment and vice versa from our study design.

Patients with physical dysfunction had a greater severity of depression; however, physical dysfunction was not an independent factor for unemployment status as indicated by our multivariable analysis results. A study conducted in PICS clinic indicated that patients with walking disability had a greater severity of depression than patients without walking disability after intensive care [22]. Additionally, the study has shown that higher grip strength was associated with a higher total HADS score [22]. Thus, physical dysfunction may be associated with a greater severity of depression.

Our study did not identify physical dysfunction as an independent factor for unemployment status. This finding was consistent with that of a previous study reporting that physical dysfunction was independently associated with employment status 3 months after intensive care and not a year later [10]. Therefore, physical function may have a significant impact on return to work in the short term after ICU discharge; however, the impact may become relatively negligible in the long term. As the present study was conducted on patients 1 year after ICU discharge, the influence of physical function may have been relatively small.

Strengths of the study

We considered that the patients analyzed in this study are representative of ICU patients admitted in Japan. Compared to that in the Japanese Intensive Care Patient Database report [23], a database of ICUs in 21 Japanese institutions, the median age of the patients in this study was lower; however, other variables, including the proportion of those who underwent elective surgery, cardiovascular surgery, and severity of illness were comparable. Additionally, the study was obtained from 12 ICUs in a wide geographic area and from a variety of hospital types, such as university hospitals and public hospitals, in Japan.

Limitations of the study

First, since we simultaneously collected data on employment status and depressive symptoms, we were not able to clarify the causal relationship between these two variables. Further research is needed to assess depressive symptoms at discharge and subsequently assesses return to work status.

Second, the COVID-19 pandemic may affect our findings. Approximately half of the mail survey period overlapped with the pandemic; however, the level of spread was different in the region. Because of the ambidirectional study design, there was no effect of COVID-19 on patients’ employment status and household finances prior to ICU admission; however, employment and household finances at 12 months following ICU discharge were likely influenced by the COVID-19 pandemic. We considered this influence as minimal, since our sensitivity analysis showed similar results despite the exclusion of subjects who responded during the COVID-19 pandemic.

Third, we included patients of all ages; thus, retirement age affected our results. We consider this effect inconsequential to our findings based on results of our sensitivity analysis.

Fourth, to the best of our knowledge, there were few translated and validated self-administered questionnaires in Japanese, and we were not able to use a valid tool to measure cognitive function.

Fifth, we excluded patients with central nervous system disease as this study was based on self-administered questionnaires. Thus, our findings may underestimate the proportion of the unemployed.

Implications for future research

It is likely that the proportion of those returning to work depends not only on mental health or physical function but also employment culture and governmental policy. This study was a sub-group analysis; thus, studies with a larger cohort focusing on return to work following intensive care admission are warranted for each country.

Implications for clinical practice

Patients discharged from the ICU should be carefully monitored, even if they are at home. In particular, depression is associated with unemployment status and should be monitored. The government and local municipalities should provide medical and financial support to such patients. Additionally, support in the workplace will be essential to facilitate return to work. Workplace support may require multi-component interventions, including health-related support, service coordination including return-to-work planning and case management, and work modifications including modifications for working hours and duties [4].

Conclusion

We found that 24.1% of our patients who had been employed prior to ICU admission were subsequently unemployed 12 months after ICU discharge. Additionally, depressive symptoms were associated with unemployment status. Employment status and mental health should be followed up, and adequate support is warranted.

Characteristics and number of analyzed participants for each intensive care unit.

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Distribution of age group and proportion of unemployed subjects stratified by age group.

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Sensitivity analysis: Multivariable analysis of factors associated with unemployed status 12 months after intensive care unit discharge among patients after excluding patients aged 60 years or younger.

(DOCX)

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Questionnaire regarding employment, household finance, and subjective cognitive function.

(DOCX)

Click here for additional data file.

22 Dec 2021

11 Jan 2022

January 11th, 2022

Dr. Emily Chenette

Editor-in-Chief

PLoS One

Dear Dr. Emily Chenette:

I, along with my coauthors, would like to re-submit the attached manuscript entitled “Employment status and its associated factor for patients 12 months after intensive care: Secondary analysis of the SMAP-HoPe-study” for publication in PLoS One as an original research article. The manuscript ID is PONE-D-21-23032.

We thank academic editor and the reviewer for the consideration that you have accorded our manuscript. The academic editor and reviewer’s comments have helped us improve our manuscript, and we are grateful for all the suggestions. We have addressed all the academic editor and reviewer’s comments separately below.

Additionally, we have added a description of the handling of missing values. We have also added the number of participants at each site to the Supporting Information. In addition, we used an English editing service to improve the overall English. The page and line numbers followed the without track-change version.

We hope that the revised manuscript is now suitable for publication in your journal.

Sincerely,

Takeshi Unoki

Department of Acute and Critical Care Nursing, School of Nursing, Sapporo City University

060-0011

Kita 11 Nishi 13, Chuo-ku, Sapporo, Hokkaido, Japan

Phone & Fax: +81-11-726-2557

E-mail: iwhyh1029@gmail.com

Response to Editor and Reviewer

Comment

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.

Response

Thank you for pointing this out. We have made the corrections as per PLOS ONE’s style requirements.

Comment

2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match.

When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

Response

We have checked the statement of research grant and will respond to it along with point 3.

Comment

3. Thank you for stating the following in the Acknowledgments Section of your manuscript:

“TU received JSPS KAKENHI Grant Number 19K10929. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript”

We note that you have provided additional information within the Acknowledgements Section that is not currently declared in your Funding Statement. Please note that funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

“The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

Response

We have removed "Financial Disclosure" from the manuscript and revised the funding information. The revised text is included in the cover letter.

Comment

4. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Response

We have confirmed that there were no retracted articles. We have indicated the revised reference list at the end of this letter.

Comment

3. Please include additional information regarding the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. For instance, if you developed a questionnaire as part of this study and it is not under a copyright more restrictive than CC-BY, please include a copy, in both the original language and English, as Supporting Information.

Response

Our developed questionnaire regarding employment, household finance, and subjective cognitive functions was additionally shown in S1 text.

Additional Editor Comments (if provided):

Comment

In your Methods section, please provide additional information about the participant recruitment method and the demographic details of your participants.

Please ensure you have provided sufficient details to replicate the analyses such as:

Response

Thank you for your comment. We have added descriptions regarding the recruitment method and characteristics of the participants. We will respond with the following comments regarding the changes.

Comment

a) a statement as to whether your sample can be considered representative of a larger population

Response

We have added the description if we considered the samples; the analysis was representive of a larger population in the Discussion section. The following sentences in red font were added.

------Revised Manuscript------

P19, Line 367

Strengths of the study

We considered that the patients analyzed in this study are representative of ICU patients admitted in Japan. Compared to that in the Japanese Intensive Care Patient Database report [23], a database of ICUs in 21 Japanese institutions, the median age of the patients in this study was lower; however, other variables, including the proportion of those who underwent elective surgery, cardiovascular surgery, and severity of illness were comparable. Additionally, the study was obtained from 12 ICUs in a wide geographic area and from a variety of hospital types, such as university hospitals and public hospitals, in Japan.

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Additionally, we have added supporting information including the type of institution, number of ICU beds, and location of each facility where the recruitment took place. These were added to S1 table.　We hope this information helps the reader understand that samples are taken from populations with a wide variety in terms of geography and installation entities. The following sentence in red font was added to the manuscript in the result section.

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The number of patients receiving mechanical ventilation was 219 (66.8%), and the median duration of mechanical ventilation was 2 days. Of the 328 employed patients before ICU admission, the most frequent employment status was part-time employment (n=125, 50.2%), followed by full-time employment (n=86, 34.5%). The characteristics of each institution, including number of participants and location, are shown in S2 Table.

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Comment

b) a description of how participants were recruited.

Response

We have added the description on how we recruited the participants. The following red sentences were added.

------Revised Manuscript------

P7, Line 128

Participants

The study population included patients who stayed in the ICU for at least 3 nights between October 2019 and July 2020 and were living at home 1 year after ICU discharge. Consecutive patients who had been discharged from the ICU 12 months prior were retrospectively enrolled using their medical records at the time of admission, and data on their current employment, economic, and health status were prospectively collected by mail survey. The detailed procedure of the recruitment process was previously published [12]. The number of patients in the previously published study was 754, with a response rate of 91.1%. In this secondary analysis of employment status, only patients aged ≥18 years and those who had been working prior to admission were included.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Comment

Reviewer #1: The paper presented concerns some relevant and interesting aspects of the returning to work of patients admitted to the ICU. The paper is well written and underlines the importance of the mental wellbeing to assure the patients a successfull return to work. The manuscript is well organized and the findings are clearly exposed.

Here are some questions that I would like the authors to address.

-is there any other illness apart from depression identified in the ICU patients that can determine a delay in the return to work or prevent the patients to the return to work?

Response

Thank you for the comment. In this analysis, other illness aside from depression were not associated with employment status. Because we believe that covariates should be predefined, we are unable to add illness such as sepsis as covariates. However, in univariable analysis, diagnosis at ICU of patients between the employed group and unemployed group following intensive care was comparable. We speculated that illness at the ICU would not significantly influence employment status 12 months after intensive care.

We have added the statement that illness during ICU did not statistically differ between the two groups in univariable analysis in the result section.

The following red sentences were added.

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Among the 328 patients who were previously employed, 79 (24.1%; 95% confidence interval [CI], 19.7–29.1) were unemployed at 12 months following ICU discharge. A comparison of the patient characteristics between those employed and those unemployed after ICU discharge is shown in Table 1. The median age of those employed was significantly lower than that of those unemployed (62 years [50-71] vs. 69 years [62-75], p<0.01, respectively). At older ages, the percentage of unemployed patients was higher (S2 Table). The median APACHE II score of employed patients was lower than that of unemployed patients (13 [9-19] vs. 16 [13-19], p<0.001, respectively). The reasons for ICU admission between the employed and unemployed groups following intensive care was comparable (p=0.183).

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Comment

-Does the physical function influenced the return to work and was it associated to the depression status?

Response

We additionally analyzed the relationship between severity depressive symptom and physical dysfunction. Impaired physical function was associated with higher severity of depressive symptom. Physical dysfunction was not an independent factor for employment status after adjusted covariates including severity of depressive symptom.

We have added the statement that we planned to analyze the relationship between severity of depressive symptom and physical function in the method section.

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For multivariable analysis, a multilevel generalized linear model (GLM) with a binomial distribution and log link was performed to clarify factors for unemployment. We predefined covariates including work status before ICU admission, age [7], sex [7], cognitive dysfunction [8], physical dysfunction [9], and severity of depression [10] based on previous studies. Additionally, we clarified the relationships between the severity of depression and physical dysfunction.

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Additionally, we have added a description of the results in the results section.

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Relationships between severity of depression and physical dysfunction

The median severity of depression score was significantly higher in those with physical dysfunction than in those without physical dysfunction (8 [6-10] vs 4 [2-7], p<0.01, respectively).

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Moreover, we have added the description interpretation of the results in the discussion section.

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Depressive symptoms are possibly associated with unemployment status after ICU discharge. We found that depressive symptoms were an independent factor associated with unemployment despite adjusting for covariates, including physical function and cognitive function. These findings are consistent with our hypothesis. A previous study suggested that depression was associated with not returning to work in Australia; however, the study did not conduct multivariable analysis [21]. The present study did not indicate causal relationships between unemployment and depression. Depression may lead to unemployment and vice versa from our study design.

Patients with physical dysfunction had a greater severity of depression; however, physical dysfunction was not an independent factor for unemployment status as indicated by our multivariable analysis results. A study conducted in PICS clinic indicated that patients with walking disability had a greater severity of depression than patients without walking disability after intensive care [22]. Additionally, the study has shown that higher grip strength was associated with a higher total HADS score [22]. Thus, physical dysfunction may be associated with a greater severity of depression.

Our study did not identify physical dysfunction as an independent factor for unemployment status. This finding was consistent with that of a previous study reporting that physical dysfunction was independently associated with employment status 3 months after intensive care and not a year later [10]. Therefore, physical function may have a significant impact on return to work in the short term after ICU discharge; however, the impact may become relatively negligible in the long term. As the present study was conducted on patients 1 year after ICU discharge, the influence of physical function may have been relatively small.

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Comment

I think that in the Introduction paragraph, some insights are needed about the return to work of workers affected by serious illnesses and about the mangement of their special needs in the workplace. Please check the following references that can be useful for the insight:

Response

Thank you for the new insight. We now understand that workplace management has a great impact on return to work, and we have added references to this perspective in the Introduction.

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Introduction

Returning to work following discharge from the intensive care unit (ICU) is a serious issue. A systematic review and meta-analysis of 52 studies on returning to work among previously critically ill patients indicated that delayed return to work and unemployment were common and persistent problems [1]. These studies showed that 36% of patients were subsequently unemployed at 12 months following ICU admission. This change in employment status has a corresponding effect on household income. A study conducted in the United Kingdom suggested that 30% of ICU patients had a decline in household income even after 6 months to 1 year following ICU admission [2]. Additionally, a recent scoping review indicated that 34% of patients that underwent coronary artery bypass grafting or aortic valve replacement surgery never return to work [3].

Return to work is affected by not only the health of the patient but also the environment surrounding the patient. A systematic review of studies on patients with musculoskeletal and pain-related conditions and mental health conditions reported that workplace management was associated with duration of return to work [4]. National employment and disability policies could also contribute to the resumption of work productivity among those discharged from the ICU.

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We believe that this perspective is significant and have decided to add it to the implications for clinical practice.

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Implications for clinical practice

Patients discharged from the ICU should be carefully monitored, even if they are at home. In particular, depression is associated with unemployment status and should be monitored. The government and local municipalities should provide medical and financial support to such patients. Additionally, support in the workplace will be essential to facilitate return to work. Workplace support may require multi-component interventions, including health-related support, service coordination including return-to-work planning and case management, and work modifications including modifications for working hours and duties [4].

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References

Articles indicated in red font were added after the first submission.

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2. Griffiths J, Hatch RA, Bishop J, Morgan K, Jenkinson C, Cuthbertson BH, et al. An exploration of social and economic outcome and associated health-related quality of life after critical illness in general intensive care unit survivors: a 12-month follow-up study. Crit Care. 2013;17: R100. doi:10.1186/cc12745

3. Mortensen M, Sandvik RKNM, Svendsen ØS, Haaverstad R, Moi AL. Return to work after coronary artery bypass grafting and aortic valve replacement surgery: A scoping review. Scand J Caring Sci. 2021. doi:10.1111/scs.13006

4. Cullen KL, Irvin E, Collie A, Clay F, Gensby U, Jennings PA, et al. Effectiveness of workplace interventions in return-to-work for musculoskeletal, pain-related and mental health conditions: An update of the evidence and messages for practitioners. J Occup Rehabil. 2018;28: 1-15. doi:10.1007/s10926-016-9690-x

5. Su H, Dreesmann NJ, Hough CL, Bridges E, Thompson HJ. Factors associated with employment outcome after critical illness: Systematic review, meta-analysis, and meta-regression. J Adv Nurs. 2021;77: 653-663. doi:10.1111/jan.14631

6. Kawakami D, Fujitani S, Morimoto T, Dote H, Takita M, Takaba A, et al. Prevalence of post-intensive care syndrome among Japanese intensive care unit patients: a prospective, multicenter, observational J-PICS study. Crit Care. 2021;25: 69. doi:10.1186/s13054-021-03501-z

7. Myhren H, Ekeberg Ø, Stokland O. Health-related quality of life and return to work after critical illness in general intensive care unit patients: a 1-year follow-up study. Crit Care Med. 2010;38: 1554–1561. doi:10.1097/CCM.0b013e3181e2c8b1

8. Rothenhäusler HB, Ehrentraut S, Stoll C, Schelling G, Kapfhammer HP. The relationship between cognitive performance and employment and health status in long-term survivors of the acute respiratory distress syndrome: results of an exploratory study. Gen Hosp Psychiatry. 2001;23: 90–96. doi:10.1016/s0163-8343(01)00123-2

9. Zisopoulos G, Roussi P, Mouloudi E. Psychological morbidity a year after treatment in intensive care unit. Health Psychol Res. 2020;8: 8852. doi:10.4081/hpr.2020.8852

10. Norman BC, Jackson JC, Graves JA, Girard TD, Pandharipande PP, Brummel NE, et al. Employment outcomes after critical illness: an analysis of the bringing to light the risk factors and incidence of neuropsychological dysfunction in ICU survivors cohort. Crit Care Med. 2016;44: 2003–2009. doi:10.1097/CCM.0000000000001849

11. Vlasveld MC, van der Feltz-Cornelis CM, Bültmann U, Beekman ATF, van Mechelen W, Hoedeman R, et al. Predicting return to work in workers with all-cause sickness absence greater than 4 weeks: a prospective cohort study. J Occup Rehabil. 2012;22: 118-126. doi:10.1007/s10926-011-9326-0

12. Unoki T, Sakuramoto H, Uemura S, Tsujimoto T, Yamaguchi T, Shiba Y, et al. Prevalence of and risk factors for post-intensive care syndrome: Multicenter study of patients living at home after treatment in 12 Japanese intensive care units, SMAP-HoPe study. PLoS One. 2021;16: e0252167. doi:10.1371/journal.pone.0252167

13. Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20: 1727-1736. doi:10.1007/s11136-011-9903-x

14. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67: 361–370. doi:10.1111/j.1600-0447.1983.tb09716.x

15. Hatta H, Higashi A, Yashiro H, Kotaro O, Hayashi K, Kiyota K, et al. A validation of the hospital anxiety and depression scale. Jpn J Psychosom Med. 1998;38: 309-315. doi:10.15064/jjpm.38.5_309

16. Ministry of Health, Labour and Welfare. Overview of the results of the Comprehensive Survey on Working Conditions in 2017. 27 Dec 2017 [cited 2020 Dec 30]. Available from: https://www.mhlw.go.jp/toukei/itiran/roudou/jikan/syurou/17/

17. Bell ML, Fairclough DL, Fiero MH, Butow PN. Handling missing items in the Hospital Anxiety and Depression Scale (HADS): a simulation study. BMC Res Notes. 2016;9: 479. doi:10.1186/s13104-016-2284-z

18. Sirio CA, Tajimi K, Taenaka N, Ujike Y, Okamoto K, Katsuya H. A cross-cultural comparison of critical care delivery: Japan and the United States. Chest. 2002;121: 539-548. doi:10.1378/chest.121.2.539

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20. Organisation for Economic Co-operation and Development. Sickness, disability and work breaking the barriers : a synthesis of findings across OECD countries. Paris: OECD; 2010. Available from: https://www.worldcat.org/title/sickness-disability-and-work-breaking-the-barriers-a-synthesis-of-findings-across-oecd-countries/oclc/1136220722?referer=di&ht=edition

21. Hodgson CL, Haines KJ, Bailey M, Barrett J, Bellomo R, Bucknall T, et al. Predictors of return to work in survivors of critical illness. J Crit Care. 2018;48: 21–25. doi:10.1016/j.jcrc.2018.08.005

22. Nakamura K, Kawasaki A, Suzuki N, Hosoi S, Fujita T, Hachisu S, et al. Grip strength correlates with mental health and quality of life after critical care: a retrospective study in a post-intensive care syndrome clinic. J Clin Med Res. 2021;10. doi:10.3390/jcm10143044

23. Irie H, Okamoto H, Uchino S, Endo H, Uchida M, Kawasaki T, et al. The Japanese Intensive care PAtient Database (JIPAD): A national intensive care unit registry in Japan. J Crit Care. 2020;55: 86-94. doi:10.1016/j.jcrc.2019.09.004

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20 Jan 2022

Employment status and its associated factors for patients 12 months after intensive care: Secondary analysis of the SMAP-HoPe study

PONE-D-21-23032R1

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28 Feb 2022

PONE-D-21-23032R1

Employment status and its associated factors for patients 12 months after intensive care: Secondary analysis of the SMAP-HoPe study

Dear Dr. Unoki:

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