Supporting autonomy in long-term care: Lessons from nursing assistants.

Maximizing nursing home (NH) resident autonomy is a person-centered care (PCC) best practice. The purpose of this study was to identify and describe specific autonomy-supportive techniques used by nursing assistants (NAs) in three NH neighborhoods at one Veterans Affairs medical center. Thirteen interviews and approximately 80 h of behavioral observation of NAs were conducted across the three NH neighborhoods. Data were analyzed using thematic analysis. Ten autonomy-supportive tactics were identified: assisting, monitoring, encouraging, bargaining, informing, providing instructions, persuading, asking, providing options, and redirecting. Although all tactics honored some degree of resident autonomy, some were more restrictive than others. Results from the study elucidate specific actions NAs can take to promote resident autonomy, even when cognitive or physical limitations are present or there is potential concern for safety, and thereby support PCC best practice.

Developing the Supporting Choice Observational Tool (SCOT): A Formative Assessment Tool to Assist Nursing Home Staff in Realizing Resident Choice.

Quality of care in nursing homes has begun to address the importance of resident choice in daily life, yet there are no published tools to teach nursing home staff how to offer such choice. In the current study, a formative assessment tool was developed that can provide staff with detailed and concrete feedback on how to realize resident choice. The tool was created and refined through 22 hours of ethnographic observation in two Veterans Health Administration Community Living Centers (CLCs), 22 hours of developmental testing in two CLCs, review by a modified Delphi panel, and use of an algorithm to assess its logical structure. The resulting Supporting Choice Observational Tool (SCOT) documents how choice is or is not offered and is or is not enabled within a singular staff-resident interaction. SCOT findings could be used in clinical teaching, quality improvement, or research efforts intent on enhancing nursing home resident quality of life. [Res Gerontol Nurs. 2017; 10(3):129-138.].

Proxies and other external raters: methodological considerations.

OBJECTIVE: The purpose of this paper is to introduce researchers to the measurement and subsequent analysis considerations involved when using externally rated data. We will define and describe two categories of externally rated data, recommend methodological approaches for analyzing and interpreting data in these two categories, and explore factors affecting agreement between self-rated and externally rated reports. We conclude with a discussion of needs for future research. DATA SOURCES/STUDY SETTING: Data sources for this paper are previous published studies and reviews comparing self-rated with externally rated data. STUDY DESIGN/DATA COLLECTION/EXTRACTION METHODS: This is a psychometric conceptual paper. PRINCIPAL FINDINGS: We define two types of externally rated data: proxy data and other-rated data. Proxy data refer to those collected from someone who speaks for a patient who cannot, will not, or is unavailable to speak for him or herself, whereas we use the term other-rater data to refer to situations in which the researcher collects ratings from a person other than the patient to gain multiple perspectives on the assessed construct. These two types of data differ in the way the measurement model is defined, the definition of the gold standard against which the measurements are validated, the analysis strategies appropriately used, and how the analyses are interpreted. There are many factors affecting the discrepancies between self- and external ratings, including characteristics of the patient, the proxy, and of the rated construct. Several psychological theories can be helpful in predicting such discrepancies. CONCLUSIONS: Externally rated data have an important place in health services research, but use of such data requires careful consideration of the nature of the data and how it will be analyzed and interpreted.