Reported Rates of Hospital-Acquired Adverse Events in Older Hospitalised Adults: A Scoping Review (Protocol)

Résumé fourni par la source

Objective The aim of the proposed scoping review is to identify and describe the rates of urinary tract infections, pressure ulcers, delirium, and/or pneumonia experienced by patients, aged 65 years and older, in acute hospitals. Introduction Hospital Acquired Adverse Events (HAAEs) disproportionately affect older patients (≥65 years old) within the healthcare system, due to increased prevalence of co-morbidities and prolonged stays in hospital, and frequently result in increased functional decline on discharge. Four of the most prevalent and costly HAAEs are urinary tract infections, pressure ulcers, delirium, and pneumonia. These variables are indicators of implicit nursing care rationing and potential for missed care. Understanding the rates of these events is pivotal to the proper allocation of funds, specifically into training, and resources to monitor and prevent these events. Optimising the collection of data on these events will therefore potentially improve patient outcomes and the efficiency of resource allocation. Inclusion criteria Studies will be included if they can be classified as peer-reviewed studies, published in full and in English, that pertain to hospital-acquired adverse events occurring in patients aged 65 or over, in a hospital setting in a high- or middle- income country. Hospital-acquired adverse events in the present review refer exclusively to urinary tract infections, pressure ulcers, delirium, and pneumonia, otherwise known as ‘failure to maintain’ indicators. Methods Databases included in the present review will be Medline, CINAHL, EMBASE, and the Cochrane Library. Peer-reviewed studies that have been published in English and meet the eligibility criteria as described above will be included. Data will be extracted from papers included in the scoping review by two independent reviewers, under the guidance of the recommendations of the Joanna Briggs Institute. The data will be extracted in accordance with the inclusion and exclusion criteria as laid out in the JBI data extraction form.

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