Exploratory and Confirmatory Factor Analyses of Delirium Symptoms in a Sample of Nursing Home Residents

Moyo, Patience; Huang, Ting‐Ying; Simoni, Jane M.; Harrington, Donna

doi:10.1177/0733464816633859

Cited by 5 publications

(5 citation statements)

References 58 publications

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“…CFA is then used to validate and evaluate the measurement model established in our conceptual framework and initially informed by EFA results (Brown, 2006). It is considered good practice to conduct the EFA and CFA using distinct samples, sometimes called the derivation and validation samples (e.g., Moyo, Huang, Simoni-Wastila, & Harrington, 2018). For this purpose, we split the sample in two (twenty-five/six states each).…”

Section: Methodsmentioning

confidence: 99%

Measuring State Medicaid Home Care Participation and Intensity Using Latent Variables

Gonçalves

Konetzka

2018

J Appl Gerontol

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Population aging and policies to redirect long-term care toward home- and community-based services have led to increases in Medicaid home care spending in most states. Changes in state Medicaid home care policy generosity may result from changes in the number of persons served (i.e., Participation) and/or changes in quantities of services covered (i.e., Intensity). This study measures state Medicaid home care Participation and Intensity comprehensively using latent variables, and uses those latent variables to describe changes in Medicaid home care policy generosity over time and across states. Yearly state-level data from the Medicaid Statistical Information System (1999-2012) are analyzed using exploratory and confirmatory factor analyses. Between 1999 and 2012, 29 states expanded both Participation and Intensity, whereas six states reduced both. In the remaining states, a trade-off occurred. Distinguishing between Medicaid home care Participation and Intensity deserves attention, as expansions along these two dimensions represent potentially different implications for beneficiaries.

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Section: Methodsmentioning

confidence: 99%

Measuring State Medicaid Home Care Participation and Intensity Using Latent Variables

Gonçalves

Konetzka

2018

J Appl Gerontol

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“…The Patient Perception of Physicians Scale was constructed using items from the 2007 MCBS. The MCBS data have been collected since 1991, and there have been many studies utilizing these data to assess long-term care (Lee et al, 2016; Moyo, Huang, Simoni-Wastila, & Harrington, 2018; Shen, Zuckerman, Palmer, & Stuart, 2015), health care cost and utilization (Shen et al, 2015), disability (Ben-Shalom & Stapleton, 2016; Hennessy et al, 2015), Medicare plans (Henning-Smith, Casey, & Moscovice, 2017; Jacobs & Buntin, 2015), and patient satisfaction (Bogner et al, 2015). MCBS survey items include a variety of questions asking about sociodemographic characteristics, clinical characteristics, health status and functioning, access to care, health care resource use, and health care costs.…”

Section: Methodsmentioning

confidence: 99%

Patient Perception of Physicians and Medication Adherence Among Older Adults With Hypertension

Ward

Thomas

2018

J Aging Health

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Objective: To assess association between patient perception of physicians and adherence to antihypertensive medication among Medicare beneficiaries. Method: Logistic regression was used to assess association between the Patient Perception of Physicians Scale score and adherence to antihypertensive medication. The 2007 Medicare Current Beneficiary Survey data were used to create a 12-item patient perception of physician scale and 2008 Medicare Part D claims to assess adherence. Results: There were 2,510 beneficiaries included in the sample. The mean age was 76.4 years ( SD = ±6.88 years). Sixty-five percent of the sample was adherent in filling their antihypertensive medication. Beneficiaries with more favorable perceptions of their physician (scores 37 or higher) were more likely to be adherent to antihypertensive medications than beneficiaries with scores less than 37 (odds ratio [OR] = 1.341, 95% confidence interval [CI] = [1.101, 1.632], p = .0035). Discussion: These findings provide some evidence that patient perceptions of their physician are associated with adherence, and that the physician–patient relationship is an important factor.

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“…Because five factors had an eigenvalue over 1, we began the EFAs with a five-factor solution—to inform the factor structure and identify possible items to remove from the checklist. We used oblique rotation (GEOMIN) and weighted least-squares means and variance (WLSMV) estimation, which have been used in EFA of other instruments with dichotomous indicators (Moyo et al, 2018). We assessed global model fit through a chi-square test (with p-values greater than 0.05 meaning the model was not significantly different than a perfect model; Kline, 2005), the root-mean-square error of approximation (RMSEA; >.08 = poor fit, .05–.08 = acceptable fit, .00–.05 = close fit), the comparative fit index (CFI; <.90 = poor fit, .90–.95 = acceptable fit, >.95 = good fit), and the Tucker–Lewis index (TLI; <.90 = poor fit, .90–.95 = acceptable fit, >.95 = good fit).…”

Section: Methodsmentioning

confidence: 99%

Increasing the Power of Intergenerational Programs: Advancing an Evaluation Tool

et al. 2021

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Intergenerational practitioners responding to a 2018 national survey identified a need for evidence-informed evaluation tools to measure program impact. The Best Practices (BP) Checklist, a 14-item (yes/no) measure assessing the extent to which an intergenerational program session maintained effective intergenerational strategies, may help meet this need. Yet, researchers have not validated the measure. In this study, we begin the empirical validation process by completing an exploratory factor analysis (EFA) of the BP Checklist to offer insight into possible item reduction and an underlying latent factor structure. Using BP Checklist data from 132 intergenerational activities, we found a 13-item, 3-factor structure, reflecting dimensions of: (a) pairing intergenerational participants, (b) person-centered strategies (e.g., selecting activities reflecting participants’ interests), and (c) staff knowledge of participants. Our study represents a foundational step toward optimizing intergenerational program evaluation, thereby enhancing programming quality.

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Exploratory and Confirmatory Factor Analyses of Delirium Symptoms in a Sample of Nursing Home Residents

Abstract: This finding emphasizes the importance of health care providers to be attentive to both cognitive and behavioral symptoms when diagnosing, treating, and managing delirium.

Cited by 5 publications

References 58 publications

Measuring State Medicaid Home Care Participation and Intensity Using Latent Variables

Measuring State Medicaid Home Care Participation and Intensity Using Latent Variables

Patient Perception of Physicians and Medication Adherence Among Older Adults With Hypertension

Increasing the Power of Intergenerational Programs: Advancing an Evaluation Tool

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