Dataset Information

Chinese family care patterns of childhood rheumatic diseases: A cluster analysis.

ABSTRACT: Objectives:The purpose is to distinguish family care (FC) patterns of childhood rheumatic diseases in Chinese families and to determine the predictors of FC patterns. Methods:This secondary analysis contained two cross-section surveys with a convenient sample of totally 398 caregivers who have a child with rheumatic diseases from four pediatric hospitals. Caregivers were required to completed Family Management Measure questionnaire. Cluster analysis was used to distinguish patterns and multinomial logistic regression analysis was used to find predictors. Results:Four patterns were identified: the normal-perspective and collaborative (28.4%), the effortless and contradictory (24.6%), the chaotic and strenuous (18.3%), and the confident and concerning (28.7%). Disease category (? 2 = 21.23, P = 0.002), geographic location (? 2 = 8.41, P = 0.038), maternal educational level (? 2 = 12.69, P = 0.048) and family monthly income (? 2 = 33.21, P < 0.001) predicted different patterns. Conclusions:FC patterns were different among families. Disease-related and family-related factors were vital predictors to distinguish patterns consistent with the Family Management Style Framework. The result assisted that clinicians recognize FC patterns and predictors effectively to provide tailored advice in time.

SUBMITTER: Ma J

PROVIDER: S-EPMC7031127 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Chinese family care patterns of childhood rheumatic diseases: A cluster analysis.

Ma Jiali J Yu Qinglin Q Zhang Taomei T Zhang Ying Y

International journal of nursing sciences 20191128 1

<h4>Objectives</h4>The purpose is to distinguish family care (FC) patterns of childhood rheumatic diseases in Chinese families and to determine the predictors of FC patterns.<h4>Methods</h4>This secondary analysis contained two cross-section surveys with a convenient sample of totally 398 caregivers who have a child with rheumatic diseases from four pediatric hospitals. Caregivers were required to completed Family Management Measure questionnaire. Cluster analysis was used to distinguish pattern ...[more]

PMID: 32099858

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Project description:Telemedicine and digital health represent alternative approaches for clinical practice; indeed, its potential in healthcare services for prevention, diagnosis, treatment, rehabilitation, and disease monitoring is widely acknowledged. These are all crucial issues to consider when dealing with chronic Rheumatic and Musculoskeletal Diseases (RMDs). The aim was to determine the current state of telemedicine in the field of rheumatology, considering the tools and devices in use as well as the Patient Reported Outcomes. A scoping review was performed following the PRISMA-ScR, retrieving articles through five databases from 1990 to 2022. Inclusion criteria were as follows: (I) adult patients with RMDs, (II) original research papers in the English language with available abstracts, and (III) telehealth and telemedicine are provided as healthcare services. Within the 62 included studies, multiple tools of telemedicine were used: 21/62 websites/online platforms, 18/62 mobile applications, 16/62 telephone contacts, 5/62 video-consultations, and 1/62 wearable devices. Outcomes were classified based on the economic, clinical, and humanistic framework. Clinical outcomes assessed through digital tools were pain, disease activity, and serum uric acid levels. Humanistic outcomes have been grouped according to four categories (e.g., mental and physical function, health management, and health perception). The heterogeneity of digital tools in the field of rheumatology highlights the challenge of implementing reliable research into clinical practice. Effective telerehabilitation models have been presented, and the use of a tight control strategy has also been mentioned. Future research should focus on establishing studies on other RMDs as well as summarizing and formulating clinical guidelines for RMDs. Key Points • Evidence for the usefulness of telemedicine and digital health for managing and monitoring rheumatic and musculoskeletal diseases is progressively increasing. • Several digital tools effectively measure clinical and humanistic and patient reported outcomes in rheumatic and musculoskeletal diseases. • Integrating diverse digital tools in rheumatology is challenging yet promising. • Future research should focus on developing standardized recommendations for practical use of telemedicine in daily practice.

Dataset Information

Chinese family care patterns of childhood rheumatic diseases: A cluster analysis.

Publications

Chinese family care patterns of childhood rheumatic diseases: A cluster analysis.

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