{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T10:59:50Z","timestamp":1783162790075,"version":"3.54.6"},"reference-count":31,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008810","name":"NSW Ministry of Health","doi-asserted-by":"publisher","award":["Bureau of Health Information"],"award-info":[{"award-number":["Bureau of Health Information"]}],"id":[{"id":"10.13039\/501100008810","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>This study quantifies the association between patient reported measures (PRMs) and readmission to inform efforts to improve hospital care. A retrospective, cross-sectional study was conducted with adults who had chronic obstructive pulmonary disease (COPD) or congestive heart failure (CHF) and were admitted for acute care in a public hospital in New South Wales, Australia for any reason (n = 2394 COPD and 2476 CHF patients in 2018\u20132020). Patient- level survey data were linked with inpatient data for one year prior to risk-adjust outcomes and after discharge to detect all cause unplanned readmission to a public or private hospital. Ninety-day readmission rates for respondents with COPD or CHF were 17% and 19%. Crude rates for adults with COPD were highest among those who reported that hospital care and treatment helped \"not at all\" (28%), compared to those who responded, \"to some extent\" (20%) or \"definitely\" (15%). After accounting for patient characteristics, adults with COPD or CHF who said care and treatment didn\u2019t help at all were at twice the risk of readmission compared to those who responded that care and treatment helped \"definitely\" (Hazard ratio for COPD 1.97, CI: 1.17\u20133.32; CHF 2.07, CI 1.25\u20133.42). Patients who offered the most unfavourable ratings of overall care, understandable explanations, organised care, or preparedness for discharge were at a 1.5 to more than two times higher risk of readmission. Respect and dignity, effective and clear communications, and timely and coordinated care also matter. PRMs are strong predictors of readmission even after accounting for risk related to age and co-morbidities. More moderate ratings were associated with attenuation of risk, and the most positive ratings were associated with the lowest readmission rate. These results suggest that increasing each patient\u2019s positive experiences progressively reduces the risk of adults with chronic conditions returning to acute care.<\/jats:p>","DOI":"10.1371\/journal.pone.0276812","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T17:57:03Z","timestamp":1667411823000},"page":"e0276812","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":8,"title":["Patient-reported experiences and outcomes following hospital care are associated with risk of readmission among adults with chronic health conditions"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2928-7351","authenticated-orcid":true,"given":"Diane E.","family":"Watson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3067-4095","authenticated-orcid":true,"given":"Sadaf","family":"Marashi-Pour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bich","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alison","family":"Witchard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2022,11,2]]},"reference":[{"issue":"7","key":"pone.0276812.ref001","doi-asserted-by":"crossref","first-page":"E391","DOI":"10.1503\/cmaj.101860","article-title":"Proportion of hospital admissions deemed avoidable: A systematic review","volume":"183","author":"C van Walraven","year":"2011","journal-title":"CMAJ"},{"key":"pone.0276812.ref002","volume-title":"HCUP Statistical Brief #259. 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Available from: https:\/\/www.aihw.gov.au\/reports\/primary-healthcare\/potentially-preventable-hospitalisations."},{"key":"pone.0276812.ref005","author":"Australia Commission for Safety and Quality in Healthcare","year":"2021"},{"issue":"10","key":"pone.0276812.ref006","doi-asserted-by":"crossref","first-page":"e017331","DOI":"10.1136\/bmjopen-2017-017331","article-title":"Sociodemographic variations in the amount, duration, and cost of potentially preventable hospitalisations for chronic conditions among Aboriginal and non-Aboriginal Australians: A period prevalence study of linked public hospital data","volume":"7","author":"D Banham","year":"2017","journal-title":"BMJ Open."},{"key":"pone.0276812.ref007","author":"Bureau of Health Information (BHI).","year":"2020"},{"key":"pone.0276812.ref008","author":"BHI","year":"2012"},{"key":"pone.0276812.ref009","author":"BHI","year":"2019"},{"key":"pone.0276812.ref010","author":"BHI","year":"2020"},{"key":"pone.0276812.ref011","author":"BHI","year":"2021"},{"key":"pone.0276812.ref012","unstructured":"BHI. NSW Patient Survey Program. About our surveys. Available from: https:\/\/www.bhi.nsw.gov.au\/nsw_patient_survey_program\/about_our_patient_surveys"},{"key":"pone.0276812.ref013","unstructured":"BHI. Adult Admitted Patient Survey: Questionnaire development reports. Available from: https:\/\/www.bhi.nsw.gov.au\/nsw_patient_survey_program\/adult_admitted_patient_survey"},{"issue":"12","key":"pone.0276812.ref014","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.1016\/j.jclinepi.2004.03.012","article-title":"New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality.","volume":"57","author":"V Sundararajan","year":"2004","journal-title":"J Clin Epidemiol"},{"key":"pone.0276812.ref015","author":"BHI","year":"2015"},{"key":"pone.0276812.ref016","author":"BHI","year":"2020"},{"key":"pone.0276812.ref017","unstructured":"Centres for Medicare & Medicaid Services. Yale New Haven Health Services Corporation\/Centre for Outcomes Research & Evaluation. Condition-Specific Measures Updates and Specifications Report. Hospital-Level 30-Day Risk-Standardized Readmission Measures. March 2018."},{"key":"pone.0276812.ref018","volume-title":"Australian hospital patient experience question set","author":"Australian Commission for Safety and Quality in Healthcare"},{"issue":"1","key":"pone.0276812.ref019","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1177\/0272989X14551638","article-title":"Where is the evidence: A systematic review of shared decision making and patient outcomes","volume":"35","author":"LA Shay","year":"2015","journal-title":"Med Decis Making"},{"issue":"2","key":"pone.0276812.ref020","doi-asserted-by":"crossref","first-page":"106","DOI":"10.11124\/jbisrir-2016-2381","article-title":"Effectiveness of discharge interventions from hospital to home on hospital readmissions: A systematic review","volume":"14","author":"A Braet","year":"2016","journal-title":"JBI Database System Rev Implement Rep"},{"key":"pone.0276812.ref021","unstructured":"BHI. Development of patient experience key performance indicators for local health districts in NSW. 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