Implementing emergency admission risk prediction in general practice: a qualitative study

The British journal of general practice: the journal of the Royal College of General Practitioners

article

Bridie Angela Evans¹  Jeremy Dale²  Jan Davies¹  Hayley Hutchings¹  Mark Kingston¹  Alison Porter¹  Ian Russell¹  Victoria Williams¹  Helen Snooks¹ 

[1] Swansea University Medical School;Warwick Medical School, University of Warwick

关键词: qualitative research;    emergency service;    hospital;    general practice;    health risk appraisal;    health service evaluation;    chronic disease;   

DOI  :  10.3399/BJGP.2021.0146

学科分类：卫生学

来源: Royal College of General Practitioners

【 摘 要 】

Background Using computer software in general practice to predict patient risk of emergency hospital admission has been widely advocated, despite limited evidence about effects. In a trial evaluating the introduction of a Predictive Risk Stratification Model (PRISM), statistically significant increases in emergency hospital admissions and use of other NHS services were reported without evidence of benefits to patients or the NHS.Aim To explore GPs’ and practice managers’ experiences of incorporating PRISM into routine practice.Design and setting Semi-structured interviews were carried out with GPs and practice managers in 18 practices in rural, urban, and suburban areas of south Wales.Method Interviews (30–90 min) were conducted at 3–6 months after gaining PRISM access, and ∼18 months later. Data were analysed thematically using Normalisation Process Theory.Results Responders (n = 22) reported that the decision to use PRISM was based mainly on fulfilling Quality and Outcomes Framework incentives. Most applied it to <0.5% practice patients over a few weeks. Using PRISM entailed undertaking technical tasks, sharing information in practice meetings, and making small-scale changes to patient care. Use was inhibited by the model not being integrated with practice systems. Most participants doubted any large-scale impact, but did cite examples of the impact on individual patient care and reported increased awareness of patients at high risk of emergency admission to hospital.Conclusion Qualitative results suggest mixed views of predictive risk stratification in general practice and raised awareness of highest-risk patients potentially affecting rates of unplanned hospital attendance and admissions. To inform future policy, decision makers need more information about implementation and effects of emergency admission risk stratification tools in primary and community settings.

【 授权许可】

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