Dataset Information

Mandarin multidimensional health literacy questionnaire for patient supporting groups: A quality improvement article.

ABSTRACT: A patient support group (PSG) can serve the purposes of group therapy and education. However, how to evaluate outcome which can feedback to improve the PSG remains unclear. Health literacy, which is associated with patient outcome, has not been used in the evaluation of PSG.Since 2017, we had conducted a working group dedicated to the creation and improvement of PSG. We applied a questionnaire (Mandarin Multidimensional Health Literacy Questionnaire, MMHLQ) for PSGs of all kinds of diseases (5 types, 8 diseases). The outcome was evaluated by the MMHLQ (5 dimensions, 20 variables). We determined factors (age, 1st-time/non-1st-time participation, and patient/family participation) that were associated with all 20 health literacy.We finally obtained 458 questionnaires, with a response rate as high as 91.1% in 8 PSGs. Participants were 55.30?±?16.39?y/o. The highest score was with the dimension of understanding (12.25?±?1.85) and the lowest score was with the dimension of appraisal (10.66?±?2.33). Participating patients (compared to family) were associated with a higher score with "obey the instruction of medical personnel to care disease" but lower score with "find health information from the network". Moreover, older participants (age ?65 years) had lower scores for all questions in MMHLQ, within which the dimension of appraisal received the lowest scores (P?

SUBMITTER: Wu CL

PROVIDER: S-EPMC7647563 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Mandarin multidimensional health literacy questionnaire for patient supporting groups: A quality improvement article.

Wu Chieh-Liang CL Liou Chia-Hua CH Liu Shih-An SA Sheu Wayne H-H WH Tsai Shang-Feng SF

Medicine 20201101 45

A patient support group (PSG) can serve the purposes of group therapy and education. However, how to evaluate outcome which can feedback to improve the PSG remains unclear. Health literacy, which is associated with patient outcome, has not been used in the evaluation of PSG.Since 2017, we had conducted a working group dedicated to the creation and improvement of PSG. We applied a questionnaire (Mandarin Multidimensional Health Literacy Questionnaire, MMHLQ) for PSGs of all kinds of diseases (5 t ...[more]

PMID: 33158005

Similar Datasets

Project description:BACKGROUND:For people to be able to access, understand, and benefit from the increasing digitalization of health services, it is critical that services are provided in a way that meets the user's needs, resources, and competence. OBJECTIVE:The objective of the study was to develop a questionnaire that captures the 7-dimensional eHealth Literacy Framework (eHLF). METHODS:Draft items were created in parallel in English and Danish. The items were generated from 450 statements collected during the conceptual development of eHLF. In all, 57 items (7 to 9 items per scale) were generated and adjusted after cognitive testing. Items were tested in 475 people recruited from settings in which the scale was intended to be used (community and health care settings) and including people with a range of chronic conditions. Measurement properties were assessed using approaches from item response theory (IRT) and classical test theory (CTT) such as confirmatory factor analysis (CFA) and reliability using composite scale reliability (CSR); potential bias due to age and sex was evaluated using differential item functioning (DIF). RESULTS:CFA confirmed the presence of the 7 a priori dimensions of eHLF. Following item analysis, a 35-item 7-scale questionnaire was constructed, covering (1) using technology to process health information (5 items, CSR=.84), (2) understanding of health concepts and language (5 items, CSR=.75), (3) ability to actively engage with digital services (5 items, CSR=.86), (4) feel safe and in control (5 items, CSR=.87), (5) motivated to engage with digital services (5 items, CSR=.84), (6) access to digital services that work (6 items, CSR=.77), and (7) digital services that suit individual needs (4 items, CSR=.85). A 7-factor CFA model, using small-variance priors for cross-loadings and residual correlations, had a satisfactory fit (posterior productive P value: .27, 95% CI for the difference between the observed and replicated chi-square values: -63.7 to 133.8). The CFA showed that all items loaded strongly on their respective factors. The IRT analysis showed that no items were found to have disordered thresholds. For most scales, discriminant validity was acceptable; however, 2 pairs of dimensions were highly correlated; dimensions 1 and 5 (r=.95), and dimensions 6 and 7 (r=.96). All dimensions were retained because of strong content differentiation and potential causal relationships between these dimensions. There is no evidence of DIF. CONCLUSIONS:The eHealth Literacy Questionnaire (eHLQ) is a multidimensional tool based on a well-defined a priori eHLF framework with robust properties. It has satisfactory evidence of construct validity and reliable measurement across a broad range of concepts (using both CTT and IRT traditions) in various groups. It is designed to be used to understand and evaluate people's interaction with digital health services.

Project description:BackgroundeHealth literacy is significantly associated with patients' online information behavior, physician-patient relationship, patient adherence, and health outcomes. As an important product of the internet, online health communities (OHCs) can help redistribute idle medical resources, increase medical resource utilization, and improve patient adherence. However, studies on eHealth literacy in OHCs are limited. Therefore, this study examined patients' eHealth literacy regarding health information-seeking behavior and physician-patient communication in OHCs.ObjectiveThis study aimed to investigate the association between eHealth literacy in OHCs and patient adherence by employing social cognitive theory.MethodsThis was an empirical study, in which a research model consisting of 1 independent variable (patients' eHealth literacy), 3 mediators (physician-patient communication in OHCs, patient health information-seeking behavior in OHCs, and patients' perceived quality of health information in OHCs), 1 dependent variable (patient adherence), and 4 control variables (age, gender, living area, and education level) was established to examine the associations. Multi-item scales were used to measure variables. An anonymous online survey involving 560 participants was conducted through Chinese OHCs in July 2018 to collect data. Partial least squares and structural equation modeling were adopted to analyze data and test hypotheses.ResultsThe survey response rate was 79.6% (446/560). The reliability, convergent validity, and discriminant validity were acceptable. Age, gender, living area, and education level were positively associated with patient adherence, and gender was positively associated with physician-patient communication and patients' perceived quality of internet health information in OHCs. Patients' eHealth literacy was positively associated with patient adherence through the mediations of physician-patient communication, internet health information-seeking behavior, and perceived quality of internet health information in OHCs.ConclusionsResults indicate that physician-patient communication, internet health information-seeking behavior, and the perceived quality of internet health information are significantly associated with improving patient adherence via a guiding of eHealth literacy in OHCs. These findings suggest that physicians can understand and guide their patients' eHealth literacy to improve treatment efficiency; OHCs' operators should this strengthen the management of information quality, develop user-friendly features, and minimize the gap between the actual and perceived information quality.

Project description:Engaging health care staff in new quality improvement programs is challenging.We developed 2 virtual patient (VP) avatars in the context of a clinic-level quality improvement program. We sought to determine differences in preferences for VPs and the perceived influence of interacting with the VP on clinical staff engagement with the quality improvement program.Using a participatory design approach, we developed an older male smoker VP and a younger female smoker VP. The older male smoker was described as a patient with cardiovascular disease and was ethnically ambiguous. The female patient was younger and was worried about the impact of smoking on her pregnancy. Clinical staff were allowed to choose the VP they preferred, and the more they engaged with the VP, the more likely the VP was to quit smoking and become healthier. We deployed the VP within the context of a quality improvement program designed to encourage clinical staff to refer their patients who smoke to a patient-centered Web-assisted tobacco intervention. To evaluate the VPs, we used quantitative analyses using multivariate models of provider and practice characteristics and VP characteristic preference and analyses of a brief survey of positive deviants (clinical staff in practices with high rates of encouraging patients to use the quit smoking innovation).A total of 146 clinical staff from 76 primary care practices interacted with the VPs. Clinic staff included medical providers (35/146, 24.0%), nurse professionals (19/146, 13.0%), primary care technicians (5/146, 3.4%), managerial staff (67/146, 45.9%), and receptionists (20/146, 13.7%). Medical staff were mostly male, and other roles were mostly female. Medical providers (OR 0.031; CI 0.003-0.281; P=.002) and younger staff (OR 0.411; CI 0.177-0.952; P=.038) were less likely to choose the younger, female VP when controlling for all other characteristics. VP preference did not influence online patient referrals by staff. In high-performing practices that referred 20 or more smokers to the ePortal (13/76), the majority of clinic staff were motivated by or liked the virtual patient (20/26, 77%).Medical providers are more likely motivated by VPs that are similar to their patient population, while nurses and other staff may prefer avatars that are more similar to them.

Dataset Information

Mandarin multidimensional health literacy questionnaire for patient supporting groups: A quality improvement article.

Publications

Mandarin multidimensional health literacy questionnaire for patient supporting groups: A quality improvement article.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets