ArticleThe American journal of managed care2015
Higher 30-day and 60-day readmissions among patients who refuse post acute care services.
Article in The American journal of managed care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Systematic review of prediction models for postacute care destination decision-making.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Strategies to address implementation barriers in sepsis survivors' care transitions to home health and outpatient care: a multi-site, type 1 hybrid implementation study.BMC health services research · 2026Article
- Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Article
- Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Shifting the narrative from living at risk to living with risk: validating and pilot-testing a clinical decision support tool: a mixed methods study.BMC geriatrics · 2023Article
- Determining the factors influencing the selection of post-acute care models by patients and their families: a qualitative content analysis.BMC geriatrics · 2023Article
- Home-Based Care Provider Perspectives on Care Refusal During the COVID-19 Pandemic.Journal of gerontological nursing · 2023Article
- Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Patient Factors Linked with Return Acute Healthcare Use in Older Adults by Discharge Disposition.Journal of the American Geriatrics Society · 2020Article
- Using a Decision Support Algorithm for Referrals to Post-Acute Care.Journal of the American Medical Directors Association · 2019Article
- Risks Perceived by Frail Male Patients, Family Caregivers and Clinicians in Hospital: Do they Change after Discharge? A Multiple Case Study.International journal of integrated care · 2019Article
- Comparison of algorithm advice for post-acute care referral to usual clinical decision-making: examination of 30-day acute healthcare utilization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Patient Preferences for Information on Post-Acute Care Services.Research in gerontological nursing · 2016Article
- Validating Performance of a Hospital Discharge Planning Decision Tool in Community Hospitals.Professional case managementArticle
- Validating Performance of a Hospital Discharge Planning Decision Tool in Community Hospitals.Professional case managementArticle
- Why older adults may decline offers of post-acute care services: A qualitative descriptive study.Geriatric nursing (New York, N.Y.)Article
- Factors Associated with Re-attendance at Emergency Departments Among Older Adults: A Cross-Sectional Analytical Study.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectivesTo compare patients who accepted ("acceptors") post acute care services (PAC) with those who were offered services and refused ("refusers") in terms of their sociodemographic and clinical characteristics, quality of life, health-related problems, and unmet needs; and to examine the association between refusing PAC services and the risk for 30- and 60-day readmission. STUDY
designSecondary data analysis from a cross-sectional study.
methodsBivariate analysis and logistic regressions were used to examine the association between refusing PAC services and 30- and 60-day readmission.
resultsA convenience sample of 495 PAC-referred patients 55 years and older discharged from 2 large academic medical centers in the northeastern United States completed the study questionnaires, with a resulting 28% (n = 139) that refused PAC services. Refusers were significantly younger (average age 68 years vs 73 years; P < .001), as well as more likely to be married (62% vs 46%; P < .001), privately insured (35% vs 18%; P < .001), and with lower risk of mortality/severity of illness. Refusers also had shorter hospital stays (4.8 days vs 7.5 days; P < .001); higher quality of life after discharge (0.83 vs 0.73; P < .001); and fewer unmet needs after discharge. However, refusers had higher 30-day (21% vs 16%; P = .17) and 60-day (31% vs 25%; P = .18) readmission rates; with logistic regression showing about twice-higher odds of 30-day (OR [odds ratio], 2.13; 95% CI, 1.11-3.02; P = .01) and 60-day (OR, 1.8; 95% CI, 1.11-3.02; P = .02) readmission.
conclusionsPAC refusers are younger, better educated, and healthier, but they have twice-higher odds of 30- and 60-day readmissions, compared with PAC acceptors. Further investigation into reasons for PAC refusal is critical to foster enhanced patient communication regarding PAC services, improve rates of service acceptance, and ultimately decrease readmissions.
Indexed as
Identifiers
26168063PMC8607532W2413592099What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.