Literature DB >> 33411717

What could prevent chronic condition admissions assessed as preventable in rural and metropolitan contexts? An analysis of clinicians' perspectives from the DaPPHne study.

Jo Longman1, Jennifer Johnston1, Dan Ewald1,2, Adrian Gilliland3, Michael Burke4,5, Tabeth Mutonga6, Megan Passey1.   

Abstract

INTRODUCTION: Reducing potentially preventable hospitalisations (PPH) is a priority for health services. This paper describes the factors that clinicians perceived contributed to preventable admissions for angina, diabetes, congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD), and what they considered might have been done in the three months leading up to an admission to prevent it.
METHODS: The study was conducted in a rural and a metropolitan health district in NSW, Australia. Expert Panels reviewed detailed case reports to assess preventability. For those admissions identified as preventable, comments from clinicians indicating what they perceived could have made a difference and/or been done differently to prevent each of the preventable admissions were analysed qualitatively.
RESULTS: 148 (46%) of 323 admissions were assessed as preventable. Across the two districts, the most commonly identified groups of contributing factors to preventable admissions were: 'Systems issues: Community based services missing or inadequate or not referred to'; 'Patient issues: Problems with adherence/self-management'; and 'Clinician issues: GP care inadequate'. In some instances, important differences drove these groups of factors. For example, in the rural district 'Systems issues: Community based services missing or inadequate or not referred to' was largely driven by social and welfare support services missing/inadequate/not referred to, whereas in the metropolitan district it was largely driven by community nursing, allied health, care coordination or integrated care services missing/inadequate/not referred to. Analyses revealed the complexity of system, clinician and patient factors contributing to each admission. Admissions for COPD (rural) and CHF (metropolitan) admissions showed greatest complexity. DISCUSSION AND
CONCLUSION: These findings suggest preventability of individual admissions is complex and context specific. There is no single, simple solution likely to reduce PPH. Rather, an approach addressing multiple factors is required. This need for comprehensiveness may explain why many programs seeking to reduce PPH have been unsuccessful.

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Year:  2021        PMID: 33411717      PMCID: PMC7790391          DOI: 10.1371/journal.pone.0244313

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  30 in total

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2.  Association between continuity of care in general practice and hospital admissions for ambulatory care sensitive conditions: cross sectional study of routinely collected, person level data.

Authors:  Isaac Barker; Adam Steventon; Sarah R Deeny
Journal:  BMJ       Date:  2017-02-01

3.  The qualitative content analysis process.

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Journal:  Rural Remote Health       Date:  2019-05-22       Impact factor: 1.759

Review 5.  Interventions for improving outcomes in patients with multimorbidity in primary care and community settings.

Authors:  Susan M Smith; Hassan Soubhi; Martin Fortin; Catherine Hudon; Tom O'Dowd
Journal:  Cochrane Database Syst Rev       Date:  2012-04-18

6.  Classifying general medicine readmissions. Are they preventable? Veterans Affairs Cooperative Studies in Health Services Group on Primary Care and Hospital Readmissions.

Authors:  E Z Oddone; M Weinberger; M Horner; C Mengel; F Goldstein; P Ginier; D Smith; J Huey; N J Farber; D A Asch; L Loo; E Mack; A G Hurder; W Henderson; J R Feussner
Journal:  J Gen Intern Med       Date:  1996-10       Impact factor: 5.128

7.  Community based service providers' perspectives on frequent and/or avoidable admission of older people with chronic disease in rural NSW: a qualitative study.

Authors:  Jo M Longman; Judy B Singer; Yu Gao; Lesley M Barclay; Megan E Passey; Julie P Pirotta; Kathy E Heathcote; Dan P Ewald; Vahid Saberi; Paul Corben; Geoffrey G Morgan
Journal:  BMC Health Serv Res       Date:  2011-10-12       Impact factor: 2.655

Review 8.  Is the readmission rate a valid quality indicator? A review of the evidence.

Authors:  Claudia Fischer; Hester F Lingsma; Perla J Marang-van de Mheen; Dionne S Kringos; Niek S Klazinga; Ewout W Steyerberg
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

9.  Self-management capability in patients with long-term conditions is associated with reduced healthcare utilisation across a whole health economy: cross-sectional analysis of electronic health records.

Authors:  Isaac Barker; Adam Steventon; Robert Williamson; Sarah R Deeny
Journal:  BMJ Qual Saf       Date:  2018-08-23       Impact factor: 7.035

10.  Effect of an integrated care pathway on use of primary and secondary healthcare by patients at high risk of emergency inpatient admission: a matched control cohort study in Tower Hamlets.

Authors:  Will Parry; Arne Timon Wolters; Richard James Brine; Adam Steventon
Journal:  BMJ Open       Date:  2019-06-11       Impact factor: 2.692

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1.  Prediction models for the prediction of unplanned hospital admissions in community-dwelling older adults: A systematic review.

Authors:  Jet H Klunder; Sofie L Panneman; Emma Wallace; Ralph de Vries; Karlijn J Joling; Otto R Maarsingh; Hein P J van Hout
Journal:  PLoS One       Date:  2022-09-23       Impact factor: 3.752

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