Abstract

ObjectiveThis study assessed individual and organizational context (work environment) factors that influence use of best practices by care aides (nursing assistants) in nursing homes. Little scientific attention has been focused on understanding best practice use in nursing homes and almost none on care aides. Setting and participantsA total of 1262 care aides in 25 nursing homes in the 3 Canadian prairie provinces. Care aides are unregulated workers who provide 80% of direct care to residents in Canadian nursing homes. MethodWe used hierarchical linear modeling to (1) assess the amount of variance in use of best practices, as reported by care aides, that could be attributed to individual or organizational factors, and (2) identify predictors of best practices use by care aides. ResultsAt the individual level, statistically significant predictors of instrumental use of best practices included sex, age, shift worked, job efficacy, and belief suspension. At the unit level, significant predictors were social capital, organizational slack (staffing and time), number of informal interactions, and unit type. At the facility level, ownership model and province were significant. Significant predictors of conceptual use of best practices at the individual level included English as a first language, job efficacy, belief suspension, intent to use research, adequate knowledge, and number of information sources used. At the unit level, significant predictors were evaluation (feedback mechanisms), structural resources, and organizational slack (time). At the facility level, province was significant. The R2 was 18.3% for instrumental use of best practices and 43.4% for conceptual use. Unit level factors added a substantial amount of explained variance whereas facility level factors added relatively little explained variance. ConclusionsOur study suggests that context plays an important role in care aides' use of best practices in nursing homes. Individual characteristics played a more prominent role than contextual factors in predicting conceptual use of best practices.

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