Depression in older adults during the COVID-19 pandemic: a systematic review protocol

Abstract

Introduction Depression is a common mental disorder and is a major cause of years lived with disability. The COVID-19 pandemic has caused an increase in the prevalence of depression worldwide. Our aim is to identify and synthesise the determinants of depression, the diagnostic assessment tools used to evaluate depression, and the interventions carried out since the beginning of the COVID-19 pandemic in the population aged 60 and older.

Methods and analysis A systematic review of the literature will be conducted. The following databases will be searched: CINAHL Plus with Full Text, MedicLatina, MEDLINE with Full Text, and Psychology and Behavioural Sciences Collection. The search strategy will include the following Medical Subject Headings or similar terms: “Depression”, “Depressive Disorder”, “Depressive Symptoms”, “Older Adults”, “Aging”, “Elderly”, Pandemic” and “COVID-19”. Two independent reviewers will ascertain whether the resulting articles meet inclusion and exclusion criteria, and perform the analysis of data quality. Disagreements will be resolved by a third reviewer. All studies reported between December 2019 and March 2022 meeting the following criteria will be included: studies in adults aged 60 and over, and articles written in English, Portuguese, Spanish or German. Information on determinants of depression, assessment instruments used to assess depressive symptoms and/or interventions to decrease depression are reported. Studies will not be excluded based on geographical area study context (eg, community, culture or specific environment). All studies related to diagnostic assessment, care planning and/or intervention strategies specifically for older adults with depression will be included.

Ethics and dissemination As only secondary data will be analysed, no ethical approval is required for this study. This scientific article is a systematic review protocol for which data have not yet been extracted or analysed. The results will be disseminated through peer-reviewed publications.