Abstract
Background
Heart failure is common and is associated with high rates of hospitalization. Home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in Japan in 2006 and 2012, respectively.
Objective
This study aimed to examine the effect of post-discharge care by conventional or enhanced HCSCs on readmission, compared with general clinics.
Design
Retrospective cohort study using the Japanese nationwide health insurance claims database.
Participants
Participants were ≥65 years of age, admitted for heart failure and discharged between July 2014 and August 2015 and received a home visit within a month following the discharge (n=12,393).
Main Measures
The exposure was the type of medical facility that provides post-discharge home healthcare: general clinics, conventional HCSCs, and enhanced HCSCs. The primary outcome was all-cause readmission for 6 months after the first visit; the incidence of emergency house calls was a secondary outcome. We used a competing risk regression using the Fine and Gray method, in which death was regarded as a competing event.
Key Results
At 6 months, readmissions were lower in conventional (38%) or enhanced HCSCs (38%) than general clinics (43%). The adjusted subdistribution hazard ratio (sHR) of readmission was 0.87 (95% CI: 0.78–0.96) for conventional and 0.86 (0.78–0.96) for enhanced HCSCs. Emergency house calls increased with conventional (sHR: 1.77, 95% CI:1.57–2.00) and enhanced HCSCs (sHR: 1.93, 95% CI: 1.71-2.17).
Conclusions
Older Japanese patients with heart failure receiving post-discharge home healthcare by conventional or enhanced HCSCs had lower readmission rates, possibly due to compensation with more emergency house calls. Conventional and enhanced HCSCs may be effective in reducing the risk of rehospitalization. Further studies are necessary to confirm the medical functions performed by HCSCs.
Similar content being viewed by others
Introduction
There has been a substantial increase in the number of cases of heart failure, worldwide.1,2 The concept of “heart failure pandemic” has been proposed to describe this spike in the cases of heart failure, and has been recognized as a global social/economic issue.2 Patients with heart failure frequently require hospital admission,3,4 and readmission.5 In a previous multicenter cohort study in Japan (JCARE-CARD), the heart failure rehospitalization rate within 6 months was reported to be 27%.4 The medical costs for heart failure management increase dramatically with inpatient care.5,6 Therefore, preventing hospital readmission of patients with heart failure is a priority from a public health perspective, with respect to healthcare costs, and the burden on patients and hospital staff. While heart failure cases require frequent readmission,3,4 there is evidence to suggest that intensive post-discharge care can reduce the risk of readmission.7,8,9,10 Timely emergency home visits might even possibly reduce the deterioration of symptoms, thereby preventing hospital admission.11
Since Japan’s population is rapidly aging,12 and healthcare costs are increasing,13 the government is promoting a shift of health care from the hospital-level to the community-level.14 In 2006, the Ministry of Health, Labor, and Welfare (MHLW) introduced “Home Care Support Clinics and Hospitals” (HCSCs) with home care support functions available 24 h/day.15 HCSCs are expected to make emergency house calls in the case of a patient’s condition suddenly deteriorating and to play a central role in end-of-life care at home in order to enable the patients to stay home until the end of life. To further enhance the role of home healthcare, the MHLW introduced “Enhanced HCSCs” in 2012, with the aim of providing more emergency house calls and end-of-life care.15 The distribution of HCSCs varies with population density, with more enhanced HCSCs located in urban regions and more conventional HCSCs located in rural areas.16
We hypothesize that conventional and enhanced HCSCs can reduce the risk of readmission in patients with heart failure.
Methods
Study Design and Data Source
We conducted a retrospective cohort study using the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) between April 2014 and March 2016. The NDB is a Japanese administrative claims database managed by the MHLW; it covers approximately 98% of the data on healthcare services provided by healthcare institutions,17 excluding medical practices that are not reimbursed by health insurance. The NDB contains information on claims, anonymous individual identification numbers, age (5-year age groups) and sex of patients, disease code, medical care procedures, and drug prescriptions. Procedures and medications are coded with the original Japanese codes. Diagnoses can be linked to the International Classification of Diseases, 10th Revision (ICD-10) codes.
Details of Home Care Support Clinics and Hospitals
Home healthcare in Japan entails physicians making regular home visits to diagnose and monitor medical conditions, as well as prescribing medications. To be enrolled in physician-led home healthcare, patients apply or are identified by the primary care physician as requiring home healthcare. A patient may also be referred by a hospital doctor for home healthcare after being discharged from the hospital. The patients must reside within roughly 16 km of clinics/hospitals that provide home healthcare. Physicians are required to make regular home visits once or twice a month, depending on the patient’s medical needs. Additionally, patients who receive physicians’ home visits often use nursing care visits and home help services offered by a variety of care facilities.18 To be qualified for reimbursement, the HCSCs (introduced in 2006) need to have home care support functions available 24 h a day until the patient dies,15 according to the patient’s request (this is a conventional requirement of all HCSCs). Enhanced HCSCs were introduced in 2012. They augment HCSCs by providing additional home healthcare services including emergency house calls and end-of-life care.15,19 Enhanced HCSCs are eligible for higher fees and are required to have three or more full-time doctors and to have provided ten or more emergency house calls and four or more cases of end-of-life care in the past year.19 The number of conventional and enhanced HCSCs facilities is increasing.19 Although many general clinics do not offer home healthcare, some of them provide.20,21 A large portion of the patients getting home healthcare at HCSCs (particularly enhanced HCSCs) were initially referred by other medical facilities, whereas at general clinics, many of the patients originally visited those clinics as outpatients.19
Study Population
We identified patients who were hospitalized for heart failure (ICD-10 code I50) and discharged between July 2014 and August 2015 and received regular home visits by the general clinics, conventional HCSCs or enhanced HCSCs, within 1 month following discharge. For patients with multiple eligible hospital admissions, we considered the first admission as the index admission. The exclusion criteria were (i) length of stay < 4 days or > 90 days, to exclude potentially planned examination and very complex or unstable cases; (ii) patients undergoing major cardiovascular procedures during hospitalization; (iii) patients aged < 65 years, because the vast majority (over 95%) of regular home visits are conducted for patients aged 65 and older22; (iv) patients with terminal malignancies at the time of discharge; (v) patients who were readmitted or died before the first home visit; and (vi) patients who used two or more types of home healthcare visits: general clinics, conventional HCSCs, or enhanced HCSCs within 1 month after discharge.
Exposure and Outcome
The exposure was the type of medical facility that provides home healthcare: general clinics, conventional HCSCs, and enhanced HCSCs.
The primary outcome was all-cause readmission within 6 months after the first home healthcare visit. The secondary outcome was emergency house calls. Death without any readmission (and all cause readmission for the secondary outcome) before the end of the follow-up period was considered a competing event as it precluded the occurrence of the event of interest. Death was confirmed by the outcomes of inpatient or outpatient services or by the surcharges of the death certificate or end-of-life care.23
Covariates
We also extracted age group; sex; etiology of heart failure (including ischemic, hypertensive, valvular, arrhythmia, and other cardiac diseases); comorbidities on discharge post index hospitalization (including cerebrovascular diseases, lower respiratory tract diseases, joint diseases, dementia, Parkinson’s disease, diabetes, visual of hearing impairment, fractures, cancer, anemia, and renal failure); medical procedures or medications administered during index hospitalization (including the use of respirator/non-invasive positive pressure ventilation (NPPV), oxygen therapy, admission to the intensive care unit (ICU), coordination with community care, use of intravenous diuretics, vasodilators, and vasoconstrictor agents); and medical procedures performed in home healthcare (including self-injection, central venous nutrition, home oxygen therapy, use of ventilator/tracheostomy performed, and pacemaker). Coordination with community care includes pre-discharge home visits or conferences that promote coordination between hospital staff and home healthcare staff to provide post discharge instructions to patients and their families. Medical interventions performed in home healthcare were identified by the month following discharge. By contrast, the etiology of heart failure and comorbidities was identified during the 3 months before the patient got discharged from the index hospitalization. The ICD-10 codes for the etiology of heart failure and comorbidities are provided in Appendix 1. “Suspected” diagnosis codes were excluded from the datasets.
Statistical Analysis
We calculated descriptive statistics for each variable, according to the type of post-discharge home healthcare. These characteristics were compared using χ2 tests. Then, we conducted a multivariate survival analysis to compare the risk of primary and secondary outcomes between general clinics, conventional HCSCs, and enhanced HCSCs. To account for the competing risk of death without readmission (and all-cause readmission for the secondary outcome), we specified a Fine and Gray regression model to model the cumulative incidence function and estimate subdistribution hazard ratios (sHRs), adjusting for all of the aforementioned covariates.24,25
We performed several sensitivity analyses to examine the robustness of our analysis. First, we started the follow-up of patients 1 month after discharge, instead of the first home visit in the main analysis. This “landmark analysis” may prove more effective in reducing the influence of immortal time bias,26,27 in exchange for the reduced sample size and generalizability by excluding patients with readmission within one month following discharge. Next, the secondary outcome was redefined as the average number of emergency house calls per month during the observation period, instead of the first emergency house call in the main analysis. We calculated the average number of emergency house calls per month by dividing the total number of emergency house calls by the number of months that each person received regular home visits, and used a multivariable negative binomial regression model for the association with this outcome. Third, a propensity score–matched analysis was performed to adjust for the difference in baseline characteristics between each post-discharge home healthcare type. We performed 1:4 match using the nearest neighbour with a calliper equal to 0.2 standard deviation of the propensity scores.28 All of the aforementioned covariates were used to estimate the propensity score. For balance assessment after matching, we calculated standardized mean difference and considered values < 0.1 acceptable.28 We compared primary and secondary outcomes between general clinics and conventional HCSCs, and between general clinics and enhanced HCSCs, separately.
All analyses were conducted using STATA version 15 (Stata Corp., Texas, USA) and R version 4.1.1 (R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was set at P < 0.05.
Ethical Considerations
This study was approved by the ethics committee of the University of Tsukuba (approval number: 1476-2). Informed consent from individuals was waived since the NDB data were anonymized before they were made available to the researchers.
Results
Study Population and Baseline Characteristics
We included 12,393 patients with heart failure, including 1009 in the general clinic, 4681 in the conventional HCSCs, and 6703 patients in the enhanced HCSC groups (Fig. 1). Table 1 shows the characteristics of the participants according to the type of post-discharge home healthcare. Compared with people who used conventional HCSCs or enhanced HCSCs, those who used general clinics were more likely to be older and female; less likely to have dementia, fracture, and cancer; and less likely to be admitted to the ICU and to take coordination with community care and medical procedures at home.
Results for Primary Outcomes
At the end of the 6-month follow-up, 43.0% of patients (434/1009) in the general clinic group, 38.1% (1784/4681) in the conventional HCSC group, and 38.1% (2556/6703) in the enhanced HCSC group were readmitted at least once. The overall 6-month mortality was 24.0% (242/1009) in the general clinic group, 27.0% (1267/4681) in the conventional HCSC group, and 29.6% (1982/6703) in the enhanced HCSC group. Competing events were 10.1% (102/1009) in the general clinic group, 14.9% (698/4681) in the conventional HCSC group, and 17.0% (1140/6703) in the enhanced HCSC group, as the patients died without any readmission. Figure 2 shows the cumulative incidence of the outcome considering the competing risk; the post-discharge home healthcare administered by conventional and enhanced HCSCs were associated with a lower risk of readmission than that administered by general clinics, while there was no difference between the conventional and enhanced HCSC groups. Compared to general clinics, the adjusted sHR for readmission were 0.87 (0.78–0.96) and 0.86 (0.78–0.96) for conventional HCSCs and enhanced HCSCs, respectively. The analysis with patient follow-up beginning 1 month after discharge (Appendix 2) and the propensity score–matched analysis also showed similar results (Appendices 3–6).
Results for Secondary Outcomes
During the 6-month follow-up period, 29.8% patients (301/1009) in the general clinic group, 46.7% patients (2186/4681) in the conventional HCSC group, and 50.5% patients (3388/6703) in the enhanced HCSC group had at least one emergency house call (Fig. 3). There was a difference in the incidence of emergency house calls between conventional and enhanced HCSCs. Compared to general clinics, the adjusted sHR were 1.77 (1.57–2.00) and 1.93 (1.71–2.17) for conventional HCSCs and enhanced HCSCs, respectively. These findings were robust to our sensitivity analysis, conducting multivariable negative binomial regression for the average number of emergency house calls per month (Appendix 7) and propensity score–matched analysis (Appendices 3–6).
Discussion
Conventional and enhanced HCSCs were associated with decreased readmission rates, and more emergency house calls, than general clinics. These results suggest that conventional and enhanced HCSCs may be more effective in reducing readmission, compared to general clinics.
The readmission rates in our study were higher than a previous Japanese study in which 27% of patients required readmission within 6 months, which is similar to the readmission rates reported in Europe and the USA.4 Given that the participants in our study were patients receiving home healthcare and that these patients had low activities of daily living (ADL) and numerous comorbidities, it was not surprising that readmission rates were generally high. Our findings show that physician-led home healthcare resulted in higher readmission compared to general readmission rates; this is consistent with the findings of a previous study.29
We also found that conventional and enhanced HCSCs were associated with lower readmission rates, which is in line with a previous study that evaluated 30-day readmission rates for all diseases.30 While the mechanism by which HCSCs resulted in fewer readmissions was unknown in the previous study, our results revealed that patients in the HCSC groups had more emergency house calls than patients in the general clinic group, which may possibly explain why HCSCs have fewer readmissions. Previous studies in foreign countries have also reported that a higher provision of home visits was associated with fewer hospital admissions.11,31 Readmission is required when there is a lack of timely access to medical resources, and symptoms are not detected and treated at an early stage; thus, emergency house calls could be effective in lowering readmission rates. Another possible explanation may be the differences in the usual care and multidisciplinary team management of HCSCs, such as collaboration with nurses and the use of home rehabilitation, which were not available in this database.10,32
On the other hand, our results showed no difference in readmission rates between conventional HCSCs and enhanced HCSCs. This may be because the distribution and roles of conventional and enhanced HCSCs differ by region.16 Since enhanced HCSCs are more common in urban areas and less common in rural areas,16 conventional HCSCs in rural areas may perform the role of enhanced HCSCs. It is also possible that there are no differences between conventional and enhanced HCSCs in the rates of emergency department visits and readmission.
The type of post-discharge home healthcare for patients in this study was determined by the clinic they originally attended or by referral from the hospital where they were admitted for heart failure to a medical facility providing home healthcare, depending on the healthcare resources in the area. Because of the spread of HCSCs since their introduction in 2006, the number of patients who use general clinics among those receiving home healthcare has declined. In addition, since more patients who utilize HCSCs are referred from other medical facilities,16 HCSC use is considered more prevalent in this post-discharge situation. However, given that a certain percentage of patients still receive home healthcare from general clinics, it is important to compare the outcomes between general clinics and HCSCs. Although this study is not a randomized controlled trial, the results were obtained using real-world data with sufficient adjustment for patient characteristics. Furthermore, sensitivity analysis using propensity score matching showed similar results, supporting the validity of our findings.
In Japan, the average admission period for patients with heart failure is ≥ 2 weeks, and the healthcare costs per person is estimated to exceed one million yen ($10 thousand).33,34 With the advent of the “heart failure pandemic,” our results suggest that those still in general clinics should consider switching to HCSCs to reduce the patient burden and cost of heart failure in Japan. For other countries, services such as HCSCs (i.e., services with home care support functions available 24 h a day) may reduce readmissions, and randomized controlled trials would be desirable in countries where such services are not yet standard. Although the number of HCSCs is increasing,19 a previous report shows that more than 70% of clinics that provide home healthcare with one or two physicians feel burdened by the 24-h system, while clinics with three or more full-time physicians feel less burdened.35 Since most conventional HCSCs are single physician practices and have difficulty providing three or more full-time doctors,36 new measures may need to be considered to reduce the burden on primary care physicians and maintain the community healthcare, such as delegating home visits to another healthcare professional,37,38 or establishing organizational models for after-hours medical care, as in other countries.39
This study had several limitations. First, the NDB in Japan does not contain laboratory and imaging data; therefore, we were unable to assess the severity of heart failure. Instead, we used ventilator/NPPV and oxygen use and ICU admission as factors indicating severity, which may not be perfect proxies. In addition, the observed association could have been influenced by residual confounding factors, such as patients’ ADLs, the homecare services used by the patients, and socioeconomic factors. Second, although the decision to hospitalize or continue treatment at home when the condition deteriorated could be influenced by the patient’s wishes, family situation, and advanced care planning, we were unable to examine these factors as potential mechanisms of the reduced readmission in the conventional and enhanced HCSC groups because we did not have these data. Finally, we did not have data on the myriad reason patients and their families perceived the need to request emergency house calls. This may have been influenced by appropriate symptom management, palliative care, and family caregiver education and support.
Conclusion
In this national-level study in Japan, we found that post-discharge care administered by the conventional and enhanced HCSCs was associated with lower readmission rates and more emergency house calls than general clinics among older patients with heart failure, receiving home healthcare. In the face of increasing demand for home healthcare, our results support the introduction and promotion of HCSCs to reduce the burden on patients and society. Further studies are necessary to confirm the medical functions performed by HCSCs.
Data Availability
The datasets analyzed during the current study are not publicly available. We obtained data from the Ministry of Health, Labour and Welfare, and we are not allowed to share these data with other parties.
References
Savarese G, Becher PM, Lund LH, Seferovic P, Rosano GMC, Coats A. Global burden of heart failure: A comprehensive and updated review of epidemiology. Cardiovasc Res. 2022;12:cvac013. https://doi.org/10.1093/cvr/cvac013.
Ambrosy AP, Fonarow GC, Butler J, et al. The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries. J Am Coll Cardiol. 2014;63(12):1123-1133. https://doi.org/10.1016/j.jacc.2013.11.053.
Khan MS, Sreenivasan J, Lateef N, et al. Trends in 30- and 90-day readmission rates for heart failure. Circ Heart Fail. 2021;14(4):e008335. https://doi.org/10.1161/CIRCHEARTFAILURE.121.008335.
Isobe M. The Heart Failure "Pandemic" in Japan: Reconstruction of Health Care System in the Highly Aged Society. JMA J. 2019;2(2):103-112. https://doi.org/10.31662/jmaj.2018-0049.
Hollingworth W, Biswas M, Maishman RL, et al. The healthcare costs of heart failure during the last five years of life: A retrospective cohort study. Int J Cardiol. 2016;224:132-138. https://doi.org/10.1016/j.ijcard.2016.09.021.
Shafie AA, Tan YP, Ng CH. Systematic review of economic burden of heart failure. Heart Fail Rev. 2018;23(1):131-145. https://doi.org/10.1007/s10741-017-9661-0.
Tsuchihashi-Makaya M, Matsuo H, Kakinoki S, et al. Home-based disease management program to improve psychological status in patients with heart failure in Japan. Circ J. 2013;77(4):926-933. https://doi.org/10.1253/circj.cj-13-0115.
Feltner C, Jones CD, Cené CW, et al. Transitional care interventions to prevent readmissions for persons with heart failure: a systematic review and meta-analysis. Ann Intern Med. 2014;160(11):774-784. https://doi.org/10.7326/M14-0083.
Van Spall HGC, Rahman T, Mytton O, et al. Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: a systematic review and network meta-analysis. Eur J Heart Fail. 2017;19(11):1427-1443. https://doi.org/10.1002/ejhf.765.
Li Y, Fu MR, Luo B, Li M, Zheng H, Fang J. The effectiveness of transitional care interventions on health care utilization in patients discharged from the hospital with heart failure: A systematic review and meta-analysis. J Am Med Dir Assoc. 2021;22(3):621-629. https://doi.org/10.1016/j.jamda.2020.09.019.
Jones A, Bronskill SE, Seow H, et al. Physician home visit patterns and hospital use among older adults with functional impairments. J Am Geriatr Soc. 2020;68(9):2074-2081. https://doi.org/10.1111/jgs.16639.
Japan Cabinet. Office. Ann Report Aging Soc 2019. https://www8.cao.go.jp/kourei/english/annualreport/2019/pdf/2019.pdf. Accessed December 24, 2022.
Reich MR, Shibuya K. The future of Japan’s health system—sustaining Good Health with equity at low cost. N Engl J Med. 2015;373(19):1793-1797. https://doi.org/10.1056/NEJMp1410676.
Japanese Ministry of Health, Labour and Welfare. Promotion of long-term care and home care (in Japanese). 2011. http://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000061944.html. Accessed December 24, 2022.
Ohta H. Current conditions and issues for home care support clinics. Japan Med Assoc J. 2015;58(1-2):6-9.
Japan Medical Association Research Institute. The 2nd survey of home health care function of clinics (in Japanese). 2017. http://www.jmari.med.or.jp/download/WP392.pdf. Accessed December 24, 2022.
Yasunaga H. Real world data in Japan: chapter I NDB. Ann Clin Epidemiol. 2019;1(2):28-30. https://doi.org/10.37737/ace.1.2_28.
Fukui S, Yamamoto-Mitani N, Fujita J. Five types of home-visit nursing agencies in Japan based on characteristics of service delivery: cluster analysis of three nationwide surveys. BMC Health Serv Res. 2014;14:644. https://doi.org/10.1186/s12913-014-0644-8.
Japanese Ministry of Health, Labour and Welfare. General Meeting Materials of Central Social Insurance Medical Council (in Japanese). 2019. https://www.mhlw.go.jp/content/12404000/000563523.pdf. Accessd December 24, 2022.
Japanese Ministry of Health, Labour and Welfare. Overview of medical facility surveys (static and dynamic) and hospital reports. Medical treatment status, etc (in Japanese). 2014. https://www.mhlw.go.jp/toukei/saikin/hw/iryosd/14/. Accessed December 24, 2022.
Japanese Ministry of Health, Labour and Welfare. Regional data collection for home healthcare (in Japanese). 2020. https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwww.mhlw.go.jp%2Fcontent%2F10800000%2F000955145.xlsx&wdOrigin=BROWSELINK. Accessed December 24, 2022.
Reference materials for the 1st National Conference on home medical care (in Japanese). 2016. https://www.mhlw.go.jp/file/05-Shingikai-10801000-Iseikyoku-Soumuka/0000129546.pdf. Accessed December 24, 2022.
Sakai M, Ohtera S, Iwao T, et al. Validation of claims data to identify death among aged persons utilizing enrollment data from health insurance unions. Environ Health Prev Med. 2019;24(1):63. https://doi.org/10.1186/s12199-019-0819-3.
Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94(446):496-509. https://doi.org/10.1080/01621459.1999.10474144.
Kim HT. Cumulative incidence in competing risks data and competing risks regression analysis. Clin Cancer Res. 2007;13:559-565. https://doi.org/10.1158/1078-0432.CCR-06-1210.
Lévesque LE, Hanley JA, Kezouh A, Suissa S. Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes. BMJ. 2010;340:b5087. https://doi.org/10.1136/bmj.b5087.
Suissa S Immortal time bias in observational studies of drug effects. Pharmacoepidemiol Drug Saf. 2007;16(3):241-249. https://doi.org/10.1002/pds.1357.
Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28(25):3083-3107. https://doi.org/10.1002/sim.3697.
Avaldi VM, Lenzi J, Urbinati S, Molinazzi D, et al. Effect of cardiologist care on 6-month outcomes in patients discharged with heart failure: results from an observational study based on administrative data. BMJ Open. 2017;7(11):e018243. https://doi.org/10.1136/bmjopen-2017-018243.
Mitsutake S, Ishizaki T, Teramoto C, Tsuchiya-Ito R, Shimizu S, Ito H. The associations between readmission within 30 days and the medical institute factors among older patients receiving home medical care (in Japanese). Nihon Ronen Igakkai Zasshi. 2018;55(4):612-623. https://doi.org/10.3143/geriatrics.55.612.
Edes T, Kinosian B, Vuckovic NH, Nichols LO, Becker MM, Hossain M. Better access, quality, and cost for clinically complex veterans with home-based primary care. J Am Geriatr Soc. 2014;62(10):1954-1961. https://doi.org/10.1111/jgs.13030.
Kinugasa Y, Kato M, Sugihara S, et al. Multidisciplinary intensive education in the hospital improves outcomes for hospitalized heart failure patients in a Japanese rural setting. BMC Health Serv Res. 2014;14:351. https://doi.org/10.1186/1472-6963-14-351.
National Cerebral and Cardiovascular Center. Hospital index (in Japanese). 2016. http://www.ncvc.go.jp/hospital/about/quality/template_H29.html. Accessed December 24, 2022.
Center Hospital of the National Center for Global Health and Medicine. Average cost of inpatients cases. http://www.hosp.ncgm.go.jp/inpatient/070/index.html. Accessed December 24, 2022.
Japan Medical Association Research Institute. Survey on the provision and coordination of home healthcare (in Japanese). 2009. https://www.jmari.med.or.jp/wp-content/uploads/2021/10/WP183.pdf. Accessed December 24, 2022.
Japanese Ministry of Health, Labour and Welfare. General Meeting Materials of Central Social Insurance Medical Council (in Japanese). 2013. https://www.mhlw.go.jp/file/05-Shingikai-12404000-Hokenkyoku-Iryouka/0000027959.pdf. Accessd December 24, 2022.
Abrams R, Wong G, Mahtani KR, et al. Delegating home visits in general practice: a realist review on the impact on GP workload and patient care. Br J Gen Pract. 2020;70(695):e412-e420. https://doi.org/10.3399/bjgp20X710153.
van den Berg N, Meinke C, Matzke M, Heymann R, Flessa S, Hoffmann W. Delegation of GP-home visits to qualified practice assistants: assessment of economic effects in an ambulatory healthcare centre. BMC Health Serv Res. 2010;10:155. https://doi.org/10.1186/1472-6963-10-155.
Huibers L, Giesen P, Wensing M, Grol R. Out-of-hours care in western countries: assessment of different organizational models. BMC Health Serv Res. 2009;9:105. https://doi.org/10.1186/1472-6963-9-105
Contributors
We would like to express our gratitude for the generous support provided by members of NTTDATA in this study. We also thank Editage (www.editage.com) for the English language editing.
Funding
This work was supported by a grant-in-aid from the Ministry of Health, Labour and Welfare Policy Research Grants, Japan (grant number: 21AA2006).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
None declared.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Prior Presentations
None.
Supplementary Information
ESM 1
(DOCX 46.5 kb)
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Sun, Y., Iwagami, M., Komiyama, J. et al. The Effect of Home Care Support Clinics on Hospital Readmission in Heart Failure Patients in Japan. J GEN INTERN MED 38, 2156–2163 (2023). https://doi.org/10.1007/s11606-023-08030-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11606-023-08030-9