Dataset Information

Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults.

ABSTRACT:

Background and objectives

Previous efforts to develop a resilience measure for older adults have largely failed to consider the environmental influences on their resilience, and have primarily concentrated on the resilience of community-dwelling older adults. Our objective was to validate a new multidimensional measure of resilience, the Making it CLEAR (MiC) questionnaire, for use with older adults at the point of discharge from hospital.

Research design and methods

This study tested the structure, validity, and reliability of the MiC questionnaire. The questionnaire consists of 34 items, which assess the "individual determinants of resilience" (IDoR) and the "environmental determinants of resilience" (EDoR) across 2 subscales. 416 adults aged 66-102 years participated. Exploratory factor analysis, item analysis, and linear regression were undertaken.

Results

The IDoR subscale contained six factors which were labeled "Self-efficacy," "Values," "Interpersonal skills," "Life orientation," "Self-care ability," and "Process skills." The EDoR subscale contained five factors related to "Person-environment fit," "Friends," "Material assets," "Habits," and "Family." Both subscales demonstrated acceptable convergent validity and internal consistency, while individual items showed acceptable levels of discrimination and difficulty.

Discussion and implications

The study provides evidence supporting the validity and quality of the MiC questionnaire. The results suggest that the MiC questionnaire could be used to identify the resilience needs of older adults at the point of hospital discharge. However, future research should identify which items of the MiC questionnaire are associated with hospital readmission, in order to develop an easily applicable screening tool for clinical practice.

SUBMITTER: Whitehall L

PROVIDER: S-EPMC8528023 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults.

Whitehall Lucy L Górska Sylwia S Rush Robert R Singh Roy Anusua A Irvine Fitzpatrick Linda L Forsyth Kirsty K

Innovation in aging 20210813 3

<h4>Background and objectives</h4>Previous efforts to develop a resilience measure for older adults have largely failed to consider the environmental influences on their resilience, and have primarily concentrated on the resilience of community-dwelling older adults. Our objective was to validate a new multidimensional measure of resilience, the Making it CLEAR (MiC) questionnaire, for use with older adults at the point of discharge from hospital.<h4>Research design and methods</h4>This study te ...[more]

PMID: 34676306

Similar Datasets

Project description:BackgroundPsychometrically sound measures of chronic disease self-management tasks are needed to improve identification of patient needs and to tailor self-management programs. This study aimed to develop and conduct a preliminary psychometric analysis of the CanSMART questionnaire among a diverse, multimorbid Canadian population.MethodsThe data were drawn from a cross-sectional online survey to examine self-management needs and support preferences. Participants were 306 Canadian adults with one or more physical and/or emotional chronic conditions. The questionnaire on frequency of self-management tasks was developed with substantial patient partner input. We conducted Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) of the 11 self-management tasks comprising the scale in two randomly selected subsamples, followed by Rasch analysis. Associations between patient characteristics and the self-management task subscales and individual items were explored.ResultsThe factor analyses identified two self-management task subscales that were labelled Coping tasks (6 items) and Physical tasks (3 items), with Cronbach's alpha of 0.70 and 0.67, respectively. Rasch analysis suggested that participants had difficulty discriminating between response options "mostly" and "always". In analyses of independent associations with patient characteristics, both Coping and Physical tasks were associated with reporting more than one chronic disease and employment disability. The Coping tasks subscale was associated with female sex. Two items, on medication use and monitoring biological parameters, did not load on either scale. Both were associated with specific diagnoses.ConclusionsIn this preliminary analysis, two self-management tasks subscales exhibit good psychometric properties. Two items that did not load on either scale may represent additional dimensions of self-management. This work provides the basis for further scale development and use in research and clinical practice.

Project description:BACKGROUND:Although the importance of care coordination (CC) is well-recognized, cancer patients often receive poorly coordinated care across varied care settings and different oncology providers. Efforts to improve cancer care are hampered by lack of adequate measures. In this two-part, mixed-method study, we describe the development, refinement, and validation of a new care coordination instrument (CCI) designed to assess cancer patients' perception of CC. METHODS:In Study 1, an initial CCI was developed incorporating questions based on literature review. The items were then modified following four field tests conducted in a large academic hospital with oncology nurses (n = 20) and cancer patients (n = 120). This modified instrument was used to determine whether the CCI was able to distinguish CC between two practices (30 GI and 30 myeloma patients) within the same hospital setting. In Study 2, 68 patients receiving community-based care participated in seven focus groups. Based on these discussions, the CCI items were again refined, and psychometric evaluation was conducted to assess the quality of the instrument. RESULTS:Based on field tests, 3 domains of the CCI, Communication, Navigation, and Operational, were defined as critical components of CC. The Operational domain evaluates efficiency of care and is unique to this CCI. The field test demonstrated that GI patients reported significantly better CC Overall and for the Communication and Navigation domains (all p < .05). In Study 2, patients expressed concordance with the CCI items and their CC experiences, establishing validity of the CCI. Qualitative analysis of the focus group discussions indicated that the items with the highest frequencies of participants' comments were related to the concepts of Navigator, Team, Survey, and Communication. Quantitative analysis identified items with a limited response range or high rates of "neutral" responses; accordingly, those items were removed. The final CCI survey is a 29 item, multiple-choice questionnaire with excellent reliability, Cronbach's α = .922. CONCLUSIONS:We developed a novel, patient-centered tool with excellent psychometric properties that can be utilized across varied practice settings to assess patients' perception of cancer care coordination. TRIAL REGISTRATION:Not required; retrospectively registered ClinicalTrials.gov NCT03594006 20 July 2018.

Project description:BackgroundMedication non-adherence is a common issue in chronic illness. The World Health Organization has recognized a need for a valid and reliable method of measuring adherence to understand and mitigate non-adherence. This study aimed to psychometrically evaluate the English version of the Adelphi Adherence Questionnaire (ADAQ©), a questionnaire designed to assess patient-reported medication adherence across multiple therapy areas, in patients with Osteoarthritis (OA).MethodologyData from the Adelphi OA Disease Specific Programme™, a survey of physicians and their consulting adult patients with OA conducted in the United States, November 2020 to March 2021, was used to assess the psychometric properties of the ADAQ. Patients completed the ADAQ, Adherence to Refills and Medication Scale (ARMS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and EQ-5D-3L. The measurement model of the 13-item ADAQ was assessed and refined using latent variable modelling (Multiple Indicator Multiple Cause, confirmatory and exploratory factor analyses, item response theory, Mokken scaling, and bifactor analyses). Correlational analyses (Spearman's rank and polyserial as appropriate) with ARMS, WOMAC, and EQ-5D-3L scores assessed construct validity. Anchor- and distribution-based analyses were performed to estimate between-group clinically important differences (CID).ResultsOverall, 723 patients were included in this analysis (54.5% female, 69.0% aged ≥ 60). Latent variable modelling indicated a unidimensional reflective model was appropriate, with a bifactor model confirming an 11-item essentially unidimensional score. Items 12 and 13 were excluded from scoring as they measured a different concept. The ADAQ had high internal reliability with omega hierarchical and Cronbach's alpha coefficients of 0.89 and 0.97, respectively. Convergent validity was supported by moderate correlations with items of the ARMS, and physician-reported adherence and compliance. Mean differences in ADAQ score between high and low adherence groups yielded CID estimates between 0.49 and 1.05 points, with a correlation-weighted average of 0.81 points.ConclusionThis scoring model showed strong construct validity and internal consistency reliability when assessing medication adherence in OA. Future work should focus on confirming validity across a range of disease areas.

Dataset Information

Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults.

Background and objectives

Research design and methods

Results

Discussion and implications

Publications

Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets