A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition
Abstract
:1. Introduction
2. Methods
2.1. Design
2.2. Procedures for Patient Recruitment and Data Collection
2.3. Description of the Regional Hospital (RH) and Denton County
2.4. Interview Protocol
2.5. Qualitative Analytic Strategy
3. Results: Factors Reported to Affect the Ability to Recover During the Hospital to Home Transition
3.1. Pre-Discharge Themes Identified
3.2. Bridging Themes Identified
3.3. Post-Discharge Themes Identified
4. Discussion: Factors Influencing Recovery Across the Hospital to Home Transition
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Public Involvement Statement
Guidelines and Standards Statement
Use of Artificial Intelligence
Conflicts of Interest
References
- Alper, E.; O’Mailey, T.A.; Greenwald, J. Hospital Discharge and Readmission; Up to Date: Waltham, MA, USA, 2022; pp. 1–26. [Google Scholar]
- Freeman, W.; Weiss, W.; Heslin, K. Overview of U.S. Hospital Stays in 2016: Variation by Geographic Region. In Healthcare Cost and Utilization Project (HCUP) Statistical Briefs; Statistical Brief #246; Agency for Healthcare Research and Quality: North Bethesda, MD, USA, 2018. [Google Scholar]
- Zuckerman, R.; Sheingold, S.; Oray, E. Readmissions, observation, and the hospital readmissions reduction program. N. Engl. J. Med. 2016, 374, 1543–1551. [Google Scholar] [CrossRef] [PubMed]
- Au, A.G.; McAlister, F.A.; Bakal, J.A.; Ezckowitz, J.; Padma, K.; Walraven, C.V. Predicting the risk of unplanned readmissions or death within 30 days of discharge after a heart failure hospitalization. Am. Heart J. 2012, 164, 365–372. [Google Scholar] [CrossRef] [PubMed]
- Auerbach, A.D.; Kripalani, S.; Vasilevskis, E.E.; Sehgal, N.; Lindenaber, P.K.; Metlay, J.P.; Fletcher, G.; Ruhnke, G.W.; Flanders, S.A.; Kim, C.; et al. Preventability and causes of readmissions in a national cohort of general medicine patients. J. Am. Med. Assoc. 2016, 176, 484–493. [Google Scholar] [CrossRef] [PubMed]
- Krause, T.; Hamden, R.; Schaefer, C. The impact of personal and historical factors that contribute to Medicare readmissions. Popul. Health Manag. 2022, 25, 375–383. [Google Scholar] [CrossRef]
- Shashikumar, S.A.; Gulseren, B.; Berlin, N.L.; Hollingsworth, J.M.; Maddox, K.E.J.; Ryan, A.M. Association of Hospital Participation in Bundled Payments for Care Improvement Advanced with Medicare Spending and Hospital Incentive Payments. JAMA 2022, 328, 1616–1623. [Google Scholar] [CrossRef]
- Rogstad, T.; Gupta, S.; Connolly, J.; Shrank, W.; Roberts, E. Social risk adjustment in the hospital readmissions reduction program: A systematic review and implications for policy. Health Aff. 2022, 41, 1307–1315. [Google Scholar] [CrossRef]
- Brunner-La Rocca, H.P.; Peden, C.J.; Soong, J.; Holman, P.A.; Bogdanovskay, M.; Barclay, L. Reasons for readmission after hospital discharge in patients with chronic disease—Information from an international dataset. PLoS ONE 2020, 15, e0233457. [Google Scholar] [CrossRef]
- Zumbrunn, A.; Bachmann, N.; Bayer-Oglesby, L.; Joerg, R. Social disparities in unplanned 30-day readmission rates after hospital discharge in patients with chronic health conditions: A retrospective cohort study using patient level hospital administrative data linked to the population census in Switzerland. PLoS ONE 2022, 17, e0273342. [Google Scholar] [CrossRef]
- Considine, J.; Berry, D.; Sprogis, S.; Newnham, E.; Fox, K.; Darzins, P.; Rawson, H.; Street, M. Understanding the patient experience of early unplanned hospital readmission following acute care discharge: A qualitative descriptive study. BMJ Open 2020, 10, e034728. [Google Scholar] [CrossRef]
- Ofoma, U.; Dong, Y.; Gajic, O.; Pickering, B. A qualitative exploration of the discharge process and factors predisposing to readmissions to the intensive care unit. BMC Health Serv. Res. 2018, 18, 6. [Google Scholar] [CrossRef]
- Pugh, J.; Penney, L.S.; Noel, P.H.; Neller, S.; Mader, M.; Finley, E.P.; Lanham, H.H.; Leykum, L. Evidence based processes to prevent readmissions: More is better, a ten-site observational study. BMC Health Serv. Res. 2021, 21, 189. [Google Scholar] [CrossRef] [PubMed]
- Verhaegh, K.; Jepma, P.; Geerlings, S.; DeRooij, S.; Buurman, B. Not feeling ready to go home: A qualitative analysis of chronically ill patients’ perceptions on care transitions. Int. J. Qual. Health Care 2019, 31, 125–131. [Google Scholar] [CrossRef] [PubMed]
- Center for Medicare and Medicaid Services. Risk Adjustment for Socioeconomic Status or Other Sociodemographic Factors; Supplemental Material to the CMS Measures Management System Hub; Center for Medicare and Medicaid Services: Woodlawn, MD, USA, 2022. [Google Scholar]
- Mitchelle, J. Association of provider communications and discharge instructions on lower readmissions. J. Healthc. Qual. 2015, 37, 33–40. [Google Scholar] [CrossRef]
- Warchol, S.J.; Monestime, J.P.; Mayer, R.W.; Chien, W.W. Strategies to reduce hospital readmission rates in a non-Medicaid-expansion state. Perspect. Health Inf. Manag. 2019, 16, 1a. [Google Scholar] [PubMed]
- White, C.; Brady, T.; Saucedo, L.; Motz, D.; Sharp, J.; Birnbaum, L. Towards a better understanding of readmissions after stroke: Partnering with stroke survivors and caregivers. J. Clin. Nurs. 2014, 24, 1091–1100. [Google Scholar] [CrossRef]
- Hesselink, G.; Schoonhoven, L.; Barach, P.; Spijker, A.; Gademan, P.; Kalkman, C.; Liefers, J.; Vernooij-Dassen, M.; Wollersheim, H. Improving patient handovers from hospital to primary care: A systematic review. Ann. Intern. Med. 2012, 157, 417–428. [Google Scholar] [CrossRef]
- Kangovi, S.; Grande, D.; Meehan, P.; Mitra, N.; Shannon, R.; Long, J.A. Perceptions of readmitted patients on the transition from hospital to home. J. Hosp. Med. 2012, 7, 709–712. [Google Scholar] [CrossRef]
- Kripalani, S.; LeFevre, F.; Phillips, C. Deficits in communication and information transfer between hospital-based and primary care physicians: Implications for patient safety and continuity of care. J. Am. Med. Assoc. 2007, 297, 831. [Google Scholar] [CrossRef]
- Pesko, M.F.; Gerber, L.M.; Peng, T.R.; Press, M.J. Nurse-physician communication, patient severity, and hospital readmission. Health Serv. Res. 2018, 53, 1008–1024. [Google Scholar] [CrossRef]
- Rubin, D.J.; Donnell-Jackson, K.; Jhingan, R.; Golden, S.H.; Paranjape, A. Early readmission among patients with diabetes: A qualitative assessment of contributing factors. J. Diabetes Complicat. 2014, 28, 859–873. [Google Scholar] [CrossRef]
- Cockerham, W. Theoretical approaches to research on the social determinants of obesity. Am. J. Prev. Med. 2022, 63, S8–S17. [Google Scholar] [CrossRef] [PubMed]
- Mcintyre, L.; Arbabi, S.; Robinson, E.; Maier, R. Analysis of risk factors for patient readmission 30 days following discharge from general surgery. J. Am. Med. Assoc. 2016, 151, 855–861. [Google Scholar] [CrossRef] [PubMed]
- Pereira, F.; Verloo, H.; Zhivko, T.; Giovanni, S.; Meyer-Massetti, C.; Gunten, A.V.; Martins, M.M.; Wernli, B. Risk of 30-day hospital readmission associated with medical conditions and drug regimens of polymedicated, older inpatients discharged home: A registry-bsed cohort study. BMJ Open 2021, 11, e052755. [Google Scholar] [CrossRef] [PubMed]
- Rijpkema, C.; Verweij, L.; Jepma, P.; Latour, C.H.M.; Peters, R.J.G.; Reimer, W.J.M.S.O.; Buurman, B.M. The course of readmission in frail older cardiac patients. J. Adv. Nurs. 2020, 77, 2807–2818. [Google Scholar] [CrossRef]
- Chan, B.; Goldman, L.E.; Sarkar, U.; Guzman, D.; Critchfield, J.; Saha, S.; Kushel, M. High perceived social support and hospital readmissions in an older multi-ethnic, limited English proficiency, safety-net population. BMC Health Serv. Res. 2019, 19, 334. [Google Scholar] [CrossRef]
- Conner, K.; Gum, A.; Schonfeld, L.; Kosyluk, K. Enhancing care transitions intervention with peer support to improve outcomes among older adults with co-occurring clinical depression: A pilot study. Home Health Care Serv. Q. 2021, 40, 324–339. [Google Scholar] [CrossRef]
- Schultz, B.; Corbett, C.; Hughes, R.; Bell, N. Scoping review: Social support impacts hospital readmission rates. J. Clin. Nurs. 2021, 31, 2691–2705. [Google Scholar] [CrossRef]
- Arbaje, A.; Wolff, J.; Yu, Q.; Powe, N.R.; Anderson, G.F.; Boult, C. Postdischarge environmental and socioeconomic factors and the likelihood of early hospital readmission among community-dwelling Medicare beneficiaries. Gerontologist 2008, 48, 495–504. [Google Scholar] [CrossRef]
- Environmental Protection Agency. Living Close to Roadways: Health Concerns and Mitigation Strategies; Environmental Protection Agency: Washington, DC, USA, 2017. [Google Scholar]
- McDaniel, J.C.; Browning, K.K. Smoking, Chronic Wound Healing, and Implications for Evidence-Based Practice. J. Wound Ostomy Cont. Nurs. 2019, 41, 415-E2. [Google Scholar] [CrossRef]
- Yeatts, D.E.; Cready, C.M.; Pei, X.; Shen, Y.; Luo, H. Environment and subjective well-being of rural Chinese elderly: A multilevel analysis. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 2014, 69, 979–989. [Google Scholar] [CrossRef]
- Yeatts, D.E.; Pei, X.; Cready, C.M.; Shen, Y.; Luo, H.; Tan, J. Village Characteristics and Health of Rural Chinese Older Adults: Examining the CHARLS Pilot Study of a Rich and Poor Province. Soc. Sci. Med. 2013, 98, 71–78. [Google Scholar] [CrossRef] [PubMed]
- Zuniga-Teran, A.A.; Orr, B.J.; Gimblett, R.H.; Chalfoun, N.V.; Guertin, D.P.; Marsh, S.E. Neighborhood design, physical activity, and wellbeing. Int. J. Environ. Res. 2017, 14, 76. [Google Scholar]
- Silver, R.; Haidar, J.; Johnson, C. A State-Level Analysis of Macro-Level Factors Associated with Hospital Readmissions. Eur. J. Health Econ. 2024, 25, 1205–1215. [Google Scholar] [CrossRef]
- United States Census Bureau. Quick Facts. 2021. Available online: https://www.census.gov/quickfacts/dentoncountytexas (accessed on 10 May 2025).
- Deterding, N.M.; Waters, M.C. Flexible coding of in-depth interviews: A twenty-first-century approach. Sociol. Methods Res. 2021, 50, 708–739. [Google Scholar] [CrossRef]
- Smith, J.; Flowers, P.; Larkin, M. Interpretive Phenomenological Analysis; Sage: Thousand Oaks, CA, USA, 2009. [Google Scholar]
- Yin, R.K. Case Study Research: Design and Methods, 3rd ed.; Sage: Thousand Oaks, CA, USA, 2003. [Google Scholar]
- Small, M. How to conduct a mixed method study: Recent trends in a rapidly growing literature. Annu. Rev. Sociol. 2011, 37, 55–84. [Google Scholar] [CrossRef]
- Fink, G. Stress: Handbook of Stress Series, Volume 5, 1st ed.; Elsevier Science & Technology: Amsterdam, The Netherlands, 2023. [Google Scholar]
- Dhabhar, F.S.; Miller, A.H.; McEwen, B.S.; Spencer, R.L. Effects of Stress on Immune Cell Distribution. Dynamics and Hormonal Mechanisms. J. Immunol. 1995, 154, 5511–5527. [Google Scholar] [CrossRef] [PubMed]
- Kutal, S.; Tulkki, L.J.; Sarkanen, T.; Redfors, P.; Jood, K.; Nordanstig, A.; Yeşilot, N.; Sezgin, M.; Ylikotila, P.; Zedde, M. Association Between Self-Perceived Stress and Cryptogenic Ischemic Stroke in Young Adults: A Case-Control Study. Neurology 2025, 104, e213369. [Google Scholar] [CrossRef]
- O’Brien, B.; Harris, I.; Beckman, T.; Reed, D.; Cook, D. Standards for Reporting Qualitative Research: A Synthesis of Recommendations. Acad. Med. 2014, 89, 1245–1251. [Google Scholar] [CrossRef]
Characteristics of Participants | |
---|---|
Average age | 61.9 |
% Female | 50.0 |
% White | 87.9 |
% Married or living w/significant other | 69.2 |
Education | |
% less than high school | 6.6 |
% high school/GED | 9.8 |
% some college | 36.1 |
% 2 year or more college degree | 47.6 |
* Available insurance | |
% None | 6.5 |
% Medicare | 51.6 |
% Medicaid | 16.1 |
% Private insurance | 64.5 |
Primary pathology | |
% Respiratory | 21.0 |
% Heart | 8.1 |
% Pulmonary | 12.9 |
% Other serious condition | 41.9 |
% Less serious condition | 16.1 |
Average # of days in hospital | |
prior to initial discharge | 4.8 |
% readmitted within 30 days | 19.4 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Yeatts, D.; Tiwari, C.; Coleman, S.; Yeatts, M.; Sobering, K. A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition. Nurs. Rep. 2025, 15, 192. https://doi.org/10.3390/nursrep15060192
Yeatts D, Tiwari C, Coleman S, Yeatts M, Sobering K. A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition. Nursing Reports. 2025; 15(6):192. https://doi.org/10.3390/nursrep15060192
Chicago/Turabian StyleYeatts, Dale, Chetan Tiwari, Samuel Coleman, Michelle Yeatts, and Katherine Sobering. 2025. "A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition" Nursing Reports 15, no. 6: 192. https://doi.org/10.3390/nursrep15060192
APA StyleYeatts, D., Tiwari, C., Coleman, S., Yeatts, M., & Sobering, K. (2025). A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition. Nursing Reports, 15(6), 192. https://doi.org/10.3390/nursrep15060192