Using spontaneous commentary of nursing home residents to develop resident-centered measurement tools: A case study

Methods to elicit and evaluate the attainment of patient goals in older adults: A scoping review

OBJECTIVE

This scoping review aimed to identify patient goal elicitation and evaluation methods for older adults, and to investigate which methods can be used in medication optimization interventions for nursing home residents (NHRs).

METHODS

The Arksey and O'Malley framework guided the review. A search was launched in PubMed, Embase, CINAHL, and Web of Science. Reference selection and data extraction were performed by three independent reviewers, followed by team discussions to solve discrepancies. Inductive thematic analysis was applied to synthesize the data. Included papers were reconsidered to identify methods for medication optimization interventions for NHRs.

RESULTS

Ninety-six references, encompassing 38 elicitation and 12 evaluation methods, were included. Elicitation methods differed in structure, content, and patient involvement levels. Qualitative and quantitative methods were found to assess goal attainment. Five elicitation and three evaluation methods were developed for NHRs, but none of these contained a medication-related assessment.

CONCLUSION

A variety of goal elicitation and evaluation methods for older adults was found, but none for medication optimization interventions in NHRs.

PRACTICE IMPLICATIONS

A holistic approach seems important to integrate patient goals into medication optimization interventions, not limiting goal elicitation to a medication-related assessment. Also, the choice of assessor seems important to obtain patient goals.

Health congruence paradox in older adults: Contribution of cognition and relational visits

The health congruence paradox can have important implications for those working with older adults as older adults' health understanding may be vague or directed toward health concerns other than those medically identified. Objective health was measured as diagnosed conditions from medical records. Two measures of subjective health were obtained through relational visits of university students, 1) health concerns older adults reported on a visit survey, 2) health concerns students reported during casual conversation. The results showed that community dwelling older adults with lower cognitive functioning ability were more susceptible to the health congruence paradox on the subjective measure of the survey report. Qualitative analysis of health concerns from subjective measures found older adults most concerned about health conditions impacting daily functioning, such as mobility and cognition, but not diagnosed hypertension. This mixed methods study confirmed the importance of understanding older adults' subjective health with measures easily obtained through relational visits with university students.

The Validity of Connecting Conversations: A Narrative Method to Assess Experienced Quality of Care in Nursing Homes from the Resident's Perspective

It is important to assess experienced quality of care in nursing homes, as this portrays what is important to residents and helps identify what quality improvements should focus on. Connecting Conversations is a narrative method that assesses experienced quality of care from the resident’s perspective in nursing homes by having separate conversations with residents, family, and professional caregivers (triads) within a learning network. This study assessed the validity of performing the narrative method, Connecting Conversations. Trained nursing home staff (interviewers) performed the conversations in another nursing home than where they were employed. In total, 149 conversations were performed in 10 nursing homes. Findings show that experts deemed the narrative assessment method appropriate and complete to assess experienced quality of care (face validity). The questions asked appeared to capture the full construct of experienced quality of care (content validity). Additionally, there was a range in how positive conversations were and first results indicated that a nursing home scoring higher on satisfaction had more positive conversations (construct validity). More data are needed to perform additional construct validity analyses. In conclusion, Connecting Conversations shows promising results for its use as a valid narrative method to assess experienced quality of care.

A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents

Background and Objectives

Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment.

Research Design and Methods

Using a sample of n = 255 NH resident responses to the PELI-NH, we used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents. Much like the Netflix recommender system, our system is based on the concept of collaborative filtering whereby insights and predictions (e.g., filters) are created using the interests and preferences of many users. The algorithm identifies multiple sets of "you might also like" patterns called association rules, based upon responses to the 16 MDS preferences that recommends an additional set of preferences with a high likelihood of being important to a specific resident.

Results

In the evaluation of the combined apriori and logistic regression approach, we obtained a high recall performance (i.e., the ratio of correctly predicted preferences compared with all predicted preferences and nonpreferences) and high precision (i.e., the ratio of correctly predicted rules with respect to the rules predicted to be true) of 80.2% and 79.2%, respectively.

Discussion and Implications

The recommender system successfully provides guidance on how to best tailor the preference items asked of residents and can support preference capture in busy clinical environments, contributing to the feasibility of delivering person-centered care.