ArticleBMJ open2020
Study of potentially preventable hospitalisations (PPH) for chronic conditions: what proportion are preventable and what factors are associated with preventable PPH?
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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Who cites it
20 citing papers in PubMed.
- Primary care Adherence to Heart failure guidelines in post-discharge, evaluation & routine management (PATHFINDER): a randomized controlled trial.ESC heart failure · 2026Trial
- A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- A Mobile Health Platform for Heart Failure Self-Management: Feasibility Study on Patient Engagement, Acceptance, and Potential Health Outcomes.JMIR formative research · 2026Article
- Smartphone Ownership Among Cardiology Inpatients Pre-COVID-19 and Post-COVID-19 Pandemic: Secondary Analysis of Randomized Controlled Trials.JMIR cardio · 2026Article
- When context matters: social disparities in preventable hospitalizations among Medicare beneficiaries with dementia.Innovation in aging · 2026Article
- Developing Requirements for a Digital Self-Care Intervention for Adults With Heart Failure: Qualitative Workshop Study.Journal of medical Internet research · 2025Article
- Admission characteristics of patients with short term hospitalization.Israel journal of health policy research · 2024Article
- Physiotherapy-led, community-based airway clearance services for people with chronic lung conditions: a retrospective descriptive evaluation of an existing model of care.BMC health services research · 2024Article
- Impact of multiple long term conditions on hospital admission and mortality during winter: importance of linked, population scale healthcare data.BMJ medicine · 2024Article
- Performing up to Nordic principles? Geographic and socioeconomic equity in ambulatory care sensitive conditions among older adults in capital areas of Denmark, Finland and Sweden in 2000-2015.BMC health services research · 2023Article
- Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms.BMC medical informatics and decision making · 2023Article
- The Role of Gender in the Association between Mental Health and Potentially Preventable Hospitalizations: A Single-Center Retrospective Observational Study.International journal of environmental research and public health · 2022Observational
- Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.JMIR medical informatics · 2022Article
- Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.Journal of medical Internet research · 2022Article
- A qualitative analysis of the barriers and enablers faced by Australian rural general practitioners in the non-pharmacological management of congestive heart failure in community dwelling patients.BMC health services research · 2022Article
- Article
- Healthcare Providers' Perceptions of Potentially Preventable Rural Hospitalisations: A Qualitative Study.International journal of environmental research and public health · 2021Article
- Emergency hospital admissions among older adults living alone in the community.BMC health services research · 2021Article
- Article
- Process Evaluation of a Randomised Controlled Trial for TeleClinical Care, a Smartphone-App Based Model of Care.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe proportion of potentially preventable hospitalisations (PPH) which are actually preventable is unknown, and little is understood about the factors associated with individual preventable PPH. The Diagnosing Potentially Preventable Hospitalisations (DaPPHne) Study aimed to determine the proportion of PPH for chronic conditions which are preventable and identify factors associated with chronic PPH classified as preventable.
settingThree hospitals in NSW, Australia.
participantsCommunity-dwelling patients with unplanned hospital admissions between November 2014 and June 2017 for congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes complications or angina pectoris. Data were collected from patients, their general practitioners (GPs) and hospital records. OUTCOME MEASURES: Assessments of the preventability of each admission by an Expert Panel.
results323 admissions were assessed for preventability: 46% (148/323) were assessed as preventable, 30% (98/323) as not preventable and 24% (77/323) as unclassifiable. Statistically significant differences in proportions preventable were found between the three study sites (29%; 47%; 58%; p≤0.001) and by primary discharge diagnosis (p≤0.001).Significant predictors of an admission being classified as preventable were: study site; final principal diagnosis of CHF; fewer diagnoses on discharge; shorter hospital stay; GP diagnosis of COPD; GP consultation in the last 12 months; not having had a doctor help make the decision to go to hospital; not arriving by ambulance; patient living alone; having someone help with medications and requiring help with daily tasks.
conclusionsThat less than half the chronic PPH were assessed as preventable, and the range of factors associated with preventability, including site and discharge diagnosis, are important considerations in the validity of PPH as an indicator. Opportunities for interventions to reduce chronic PPH include targeting patients with CHF and COPD, and the provision of social welfare and support services for patients living alone and those requiring help with daily tasks and medication management.
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