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Root Cause Analysis to Identify Medication and Non-Medication Strategies to Prevent Infection-Related Hospitalizations from Australian Residential Aged Care Services.

ABSTRACT: Infections are leading causes of hospitalizations from residential aged care services (RACS), which provide supported accommodation for people with care needs that can no longer be met at home. Preventing infections and early and effective management are important to avoid unnecessary hospital transfers, particularly in the Australian setting where new quality standards require RACS to minimize infection-related risks. The objective of this study was to examine root causes of infection-related hospitalizations from RACS and identify strategies to limit infections and avoid unnecessary hospitalizations. An aggregate root cause analysis (RCA) was undertaken using a structured local framework. A clinical nurse auditor and clinical pharmacist undertook a comprehensive review of 49 consecutive infection-related hospitalizations from 6 RACS. Data were collected from nursing progress notes, medical records, medication charts, hospital summaries, and incident reports using a purpose-built collection tool. The research team then utilized a structured classification system to guide the identification of root causes of hospital transfers. A multidisciplinary clinical panel assessed the root causes and formulated strategies to limit infections and hospitalizations. Overall, 59.2% of hospitalizations were for respiratory, 28.6% for urinary, and 10.2% for skin infections. Potential root causes of infections included medications that may increase infection risk and resident vaccination status. Potential contributors to hospital transfers included possible suboptimal selection of empirical antimicrobial therapy, inability of RACS staff to establish on-site intravenous access for antimicrobial administration, and the need to access subsidized medical services not provided in the RACS (e.g., radiology and pathology). Strategies identified by the panel included medication review, targeted bundles of care, additional antimicrobial stewardship initiatives, earlier identification of infection, and models of care that facilitate timely access to medical services. The RCA and clinical panel findings provide a roadmap to assist targeting services to prevent infection and limit unnecessary hospital transfers from RACS.

SUBMITTER: Sluggett JK

PROVIDER: S-EPMC7246482 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Root Cause Analysis to Identify Medication and Non-Medication Strategies to Prevent Infection-Related Hospitalizations from Australian Residential Aged Care Services.

Sluggett Janet K JK Lalic Samanta S Hosking Sarah M SM Ritchie Brett B McLoughlin Jennifer J Shortt Terry T Robson Leonie L Cooper Tina T Cairns Kelly A KA Ilomäki Jenni J Visvanathan Renuka R Bell J Simon JS

International journal of environmental research and public health 20200508 9

Infections are leading causes of hospitalizations from residential aged care services (RACS), which provide supported accommodation for people with care needs that can no longer be met at home. Preventing infections and early and effective management are important to avoid unnecessary hospital transfers, particularly in the Australian setting where new quality standards require RACS to minimize infection-related risks. The objective of this study was to examine root causes of infection-related h ...[more]

PMID: 32397193

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Project description:BackgroundThe aged care system in Australia is under pressure. Residential aged care facilities (RACFs) and general practitioners (GPs) have difficulty providing the care needed by their residents, particularly after hours. Many residents are given ambulance support and transferred to hospital emergency departments (EDs) for care that could be provided at RACFs. The MyEmergencyDoctor (MED) service was commissioned in a 12-month program (February 2020-February 2021) using ED physicians to provide afterhours telehealth care in six RACFs.MethodsUsing the NASSS framework, we synthesised descriptive analyses of statistical data from the MED service, RACFs and the ambulance service and a thematic analysis of interview data collected from GPs, RACF and MED service staff, and family members of residents.ResultsMost calls to MED (179/209) were resolved with in-house treatment thereby reducing ambulance usage and hospital admissions. Interviews further revealed that MED enabled timely care for residents who were unwell but did not need hospital transfer. Technology, training, and rapid access to MED assisted RACF staff and complemented usual GP care. MED potentially reduced GP burnout. Refresher training was considered important especially in RACFs with high staff turnover, as was greater afterhours access to medications.ConclusionsThe afterhours telehealth model provided in-house care and reduced ambulance transfers, and GPs and RACF staff generally felt supported. The service was easy to use and fostered good communications with GPs and RACF staff. Some GPs preferred to provide their own care, commenting on the need for a good understanding of patient and family needs and of the local context. Other stakeholders suggested this model could be extended to palliative care settings and to normal business hours when GPs were unavailable. The reduced ambulance and hospital use suggested benefits to wider health systems, however policies and funding that remunerate GPs, support community-based care and provide additional staffing in RACFs are needed to sustain afterhours telehealth in RACFs. Use of the NASSS (non-adoption, abandonment, scale-up, spread, and sustainability) Framework provided a valuable explanatory lens for our analyses.

Dataset Information

Root Cause Analysis to Identify Medication and Non-Medication Strategies to Prevent Infection-Related Hospitalizations from Australian Residential Aged Care Services.

Publications

Root Cause Analysis to Identify Medication and Non-Medication Strategies to Prevent Infection-Related Hospitalizations from Australian Residential Aged Care Services.

Similar Datasets

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