Jeanne A. Teresi

Background: Allostatic load (AL) has been studied in the context of biomarkers that may be affected by environmental and contextual stressors, including social determinants of health. The specific stressor studied here is the provision of caregiving to older persons with Alzheimer disease and related disorders. The aims were to examine the factor structure of stress and nonstress biomarkers, different methods for calculating AL, and the relationship of AL with other variables. Methods: Latent variable models were used to examine biomarkers. Regression analyses were performed with the outcomes: AL calculated as percentile-based and clinically-based for both stress and nonstress components. The sample was 187 Hispanic caregivers to individuals with dementia. Results: The results of the confirmatory factor analyses (CFAs) suggested defining 2 factors: nonstress and stress-related. Performance was better for the CFA results and the associations with covariates when stress and nonstress components were examined separately. Despite some limitations, this is one of the first studies of biomarkers in Hispanic caregivers to patients with dementia. It was possible to explain almost 30% of the variance in the nonstress AL component. Conclusion: It may be important to differentiate among biomarkers indicative of cardiovascular, metabolic, and immune response as contrasted with the more stress-related biomarkers.

Although clinicians caring for persons at the end of life recognize the phenomenon of paradoxical/terminal lucidity, systematic evidence is scant. The current pilot study aimed to develop a structured interview instrument for health care professionals to report lucidity. A questionnaire measuring lucidity length, degree, content, coinciding circumstances, and time from episode to death was expanded to include time of day, expressive and receptive communication, and speech during the month prior to and during the event. Thirty-three interviews were conducted; 73% of participants reported ever witnessing paradoxical lucidity. Among 29 events reported, 31% lasted several days, 20.7% lasted 1 day, and 24.1% lasted Journal of Gerontological Nursing, 49 (1), 18–26.]

Background: Pilot studies test the feasibility of methods and procedures to be used in larger-scale studies. Although numerous articles describe guidelines for the conduct of pilot studies, few have included specific feasibility indicators or strategies for evaluating multiple aspects of feasibility. In addition, using pilot studies to estimate effect sizes to plan sample sizes for subsequent randomized controlled trials has been challenged; however, there has been little consensus on alternative strategies. Methods: In Section 1, specific indicators (recruitment, retention, intervention fidelity, acceptability, adherence, and engagement) are presented for feasibility assessment of data collection methods and intervention implementation. Section 1 also highlights the importance of examining feasibility when adapting an intervention tested in mainstream populations to a new more diverse group. In Section 2, statistical and design issues are presented, including sample sizes for pilot studies, estimates of minimally important differences, design effects, confidence intervals (CI) and nonparametric statistics. An in-depth treatment of the limits of effect size estimation as well as process variables is presented. Tables showing CI around parameters are provided. With small samples, effect size, completion and adherence rate estimates will have large CI. Conclusion: This commentary offers examples of indicators for evaluating feasibility, and of the limits of effect size estimation in pilot studies. As demonstrated, most pilot studies should not be used to estimate effect sizes, provide power calculations for statistical tests or perform exploratory analyses of efficacy. It is hoped that these guidelines will be useful to those planning pilot/feasibility studies before a larger-scale study.

Several methods used to examine differential item functioning (DIF) in Patient-Reported Outcomes Measurement Information System (PROMIS®) measures are presented, including effect size estimation. A summary of factors that may affect DIF detection and challenges encountered in PROMIS DIF analyses, e.g., anchor item selection, is provided. An issue in PROMIS was the potential for inadequately modeled multidimensionality to result in false DIF detection. Section 1 is a presentation of the unidimensional models used by most PROMIS investigators for DIF detection, as well as their multidimensional expansions. Section 2 is an illustration that builds on previous unidimensional analyses of depression and anxiety short-forms to examine DIF detection using a multidimensional item response theory (MIRT) model. The Item Response Theory-Log-likelihood Ratio Test (IRT-LRT) method was used for a real data illustration with gender as the grouping variable. The IRT-LRT DIF detection method is a flexible approach to handle group differences in trait distributions, known as impact in the DIF literature, and was studied with both real data and in simulations to compare the performance of the IRT-LRT method within the unidimensional IRT (UIRT) and MIRT contexts. Additionally, different effect size measures were compared for the data presented in Section 2. A finding from the real data illustration was that using the IRT-LRT method within a MIRT context resulted in more flagged items as compared to using the IRT-LRT method within a UIRT context. The simulations provided some evidence that while unidimensional and multidimensional approaches were similar in terms of Type I error rates, power for DIF detection was greater for the multidimensional approach. Effect size measures presented in Section 1 and applied in Section 2 varied in terms of estimation methods, choice of density function, methods of equating, and anchor item selection. Despite these differences, there was considerable consistency in results, especially for the items showing the largest values. Future work is needed to examine DIF detection in the context of polytomous, multidimensional data. PROMIS standards included incorporation of effect size measures in determining salient DIF. Integrated methods for examining effect size measures in the context of IRT-based DIF detection procedures are still in early stages of development.

Background: Resident-to-resident elder mistreatment (R-REM) is defined as negative and aggressive physical, sexual, or verbal interactions between (long-term care) residents that in a community setting would likely be construed as unwelcome and have high potential to cause physical and/or psychological harm and distress. R-REM has been established as a serious problem that has a negative impact on the safety, physical well-being, and quality-of-life of residents living in nursing homes. Although there are no in-depth studies, there is evidence that it is prevalent in assisted living residences and associated with a variety of person, environmental, and facility characteristics. The authors conducted the first systematic, prospective study of resident-to-resident elder mistreatment in nursing homes and developed an intervention for direct care staff to enhance knowledge of R-REM and increase reporting and resident safety by reducing falls and associated injuries. The study aim was to examine the effects of this intervention in assisted living residences. The primary distal outcome is falls and injuries, and the key process outcomes are staff knowledge and reporting. Methods: Twelve larger licensed assisted living residences with special care dementia units in two New York State regions will be enrolled on a rolling basis and randomized to intervention or usual care. Data derived from five sources, (1) resident interviews, (2) staff informants, (3) observational data, (4) chart, and (5) incident/accident report data, will be collected at baseline and 6 and 12 months with respect to 1050 residents (750 “downstate” and 300 “upstate”). The intervention is three training modules delivered on-site after baseline data collection for front line staff on all shifts in facilities randomized to the intervention. Modules relate to recognition, management, and reporting of resident-to-resident elder mistreatment. Discussion: Given the movement toward alternative congregate living arrangements for older individuals with significant comorbidities, including cognitive impairment; it is critical to enhance resident safety measured by falls, accidents, and injuries and staff knowledge related to recognition, reporting, and treatment of resident-to-resident aggressive and related negative interactions in such settings. This project is important in developing approaches for ameliorating and preventing R-REM in assisted living residences and enhancing resident safety and quality of life. Trial registration: ClinicalTrials.gov NCT03383289. Registered on 26 December 2017

While several elder abuse screens exist, few measure risk and none target long-term support services. The aims were to examine the psychometric properties of the Weinberg Center Risk and Abuse Prevention Screen (WC-RAPS), comparing approaches to modeling self-reported risk and abuse in relation to reported Adult Protective Services contacts. Methods: The sample (n = 7,035), admissions to managed long-term care (79%) and short-term rehabilitation (20%), was primarily (66%) female, with mean age 77.6 (SD = 9.10); 7% each were African American and Latino and 12% Asian. Latent variable models were used to examine measurement properties of six indicators of abuse and five of risk. Results: Good model fit and stable subscale measurement models were observed across analyses. Reliability was >0.80 across methods, and concurrent criterion validity estimates were as expected. Conclusion: Evidence supported the reliability and concurrent criterion validity of the risk and abuse subscales in an ethnically diverse cohort.

Quality of life assessment includes measurement of positive affect. Methods artifacts associated with positively and negatively worded items can manifest as negative items loading on a second factor, despite the conceptual view that the items are measuring one underlying latent construct. Negatively worded items may elicit biased responses. Additionally, item-level response bias across ethnically diverse groups may compromise group comparisons. The aim was to illustrate methodological approaches to examining method factors and measurement equivalence in an affect measure with 9 positively and 7 negatively worded items: The Feeling Tone Questionnaire (FTQ). The sample included 4960 non-Hispanic White, 1144 non-Hispanic Black, and 517 Hispanic community and institutional residents receiving long-term supportive services. The mean age was 82 (s.d. = 11.0); 73% were female. Two thirds were cognitively impaired. Methods effects were assessed using confirmatory factor analyses (CFA), and reliability with McDonald’s omega and item response theory (IRT) generated estimates. Measurement equivalence was examined using IRT-based Wald tests. Methods effects associated with negatively worded items were observed; these provided little IRT information, and as a composite evidenced lower reliability. Both 13 and 9 item positive affect scales performed well in terms of model fit, reliability, IRT information, and evidenced little differential item functioning of high magnitude or impact. Both CFA and IRT approaches provided complementary methodological information about scale performance. The 9-item affect scale based on the FTQ can be recommended as a brief quality-of-life measure among frail and cognitively impaired individuals in palliative and long-term care settings.