A Path to Prevention of Elder Abuse in Long-term Care. Prevalence Study Among Staff in Long-term Care.

Globally, studies indicated that 16% of community dwelling older adults have been exposed to some form of abuse in the past 12 months. Furthermore, a global meta-analysis about AOP in long-term care facilities used staff as respondents and found that the pooled estimate of overall self-reported perpetration of staff to resident abuse during the past 12 months was 64.2% (95% CI 53.3-73.9%). Similar findings was also reported in a study from Norway in which the overall prevalence of observed staff-to-resident abuse was 76% and 60% of respondents report self-perpetration of abusive acts during the past 12 months. Resident-to-resident aggression was even more common, observed by 88% of respondents. This study is part of the Swedish national research program APPEAL (A Path to Prevention of Elder Abuse in Long-term care) with the long-term goal to co-create an intervention for abuse of older people (AOP) in nursing homes together with stakeholders, i.e., staff, managers, care recipients and relatives. Study design and data collection: A cross-sectional study design will be used with slightly different data collection modes. 1. Population sample. Statistics Sweden combine data from the Swedish Occupational Register with data about industry codes (SNI-codes) to make a national randomized sample of staff working in home care services (n=12000) and nursing homes (n=11000) in Sweden. Data will be collected through a digital survey. Data will be combined with available register data from Statistics Sweden, including for example sex, age, civil state and occupational related data. 2. Workplace sample. Sweden has 290 Municipalities. The Swedish Association of Local Authorities and Regions (SALAR) have an official categorization of the municipalities based on e.g., urban area size, proximity to a larger urban area, and commuting patterns. One municipality in each of the nine categories has been randomly selected for participation. In the randomization process, geographical loc