PerSPE(C)TiF search strategy.

<div><p>Introduction</p><p>People with dementia are more likely than people without dementia to be hospitalized and to experience in-hospital preventable adverse events, such as falls, skin injury, and infection, compared to other hospitalized groups. Negative attitudes towards people with dementia are common among acute healthcare workers and have been linked to a cascade of negative adverse events in this population. However, no qualitative systematic review has ever been conducted to synthesize the existing evidence in this area, which hampers the development of preventative measures.</p><p>Aim</p><p>This is a protocol for a qualitative systematic review aimed at exploring and synthesizing existing qualitative evidence regarding the attitudes of nursing staff towards the prevention of adverse events among hospitalized people with dementia.</p><p>Methods</p><p>Literature searches will be performed in PubMed, CINAHL, PsycINFO, Web of Science, Biblioteca Virtual de Salud, Scopus, The Cochrane Library, and Google Scholar. The references of eligible studies will be checked for eligibility. All primary qualitative or mixed-methods studies with a qualitative component published in peer-reviewed academic journals in English, Portuguese, or Spanish will be eligible. There will be no limitations to the date of publication. The selection process will be conducted independently by two researchers using the software Rayyan and then compared and discussed. Any disagreements regarding eligibility will be discussed among the entire research team and resolved via consensus. Methodological quality will be assessed using Cochrane’s guidance. A meta-aggregative approach will be employed to extract and synthesize the evidence using the software package QARI from the JBI. The confidence in the findings will be graded using ConQual.</p><p>Implications</p><p>This review will help identify and better understand specific attitudinal and psychosocial aspects that influence nursing care delivery for people with dementia in hospital settings. Such data can be used to generate novel explanatory models of nursing behaviors in dementia care, as well as capacity building and training to enhance hospital care for people with dementia globally.</p></div>