Aims: To investigate the relationships between depression symptoms, perceived stigma, disease severity, patient-provider communication and medication adherence in fibromyalgia patients. The objectives were to explore how these factors influence treatment adherence and to develop a comprehensive model illustrating their interconnections.
Background: Fibromyalgia is a chronic pain syndrome with fatigue, sleep issues and idiopathic pain. Medication adherence is limited by insufficient symptom relief, side effects and costs. Stigma further complicates fibromyalgia. Disease severity affects patient-provider communication. Associations between depression, stigma, severity, communication and adherence in fibromyalgia are unclear.
Design: A cross-sectional, correlational study.
Methods: The STROBE guidelines for cross-sectional studies were followed. Participants included Hebrew-speaking participants who were members of two Facebook groups: 'Shades of Purple' and 'Fibromyalgia- Get to Know!' Between February and April 2022. They undertook evaluations using The Patient Health Questionnaire-9 to gauge depression symptoms, assessed perceived stigma, utilised The Revised Fibromyalgia Impact Questionnaire to determine disease severity, employed The Patient Reaction Assessment questionnaire for patient-provider communication, and used the 8-item Morisky Medication Adherence Scale (MMAS-8). Associations between the variables were explored using Pearson's correlations and path analyses.
Results: The study included 141 women with fibromyalgia, aged 22 to 76 years. Most reported having a stable partner (69.5%) and 75.2% had children. The treatment adherence levels were as follows: 53.2% (N = 75)-low, 33.3% (N = 47)-medium and 13.5% (N = 19)-high. Depression positively correlated with stigma. Stigma negatively correlated with patient-provider communication. Patient-provider communication positively correlated with treatment adherence. A significant negative indirect effect of depression on treatment adherence through stigma and patient-provider communication was found.
Conclusions: Perceived stigma and patient-provider communication played a mediating role in the relationships between depression and treatment adherence among women with fibromyalgia.
Relevance To Clinical Practice: Addressing stigma related to fibromyalgia and effective patient-provider communication can positively influence treatment adherence.
Patient Or Public Contribution: No patient or public contribution.
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http://dx.doi.org/10.1111/jocn.17044 | DOI Listing |
J Am Geriatr Soc
January 2025
Division of Research, Kaiser Permanente, Pleasanton, California, USA.
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Patient Prefer Adherence
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Statins are effective in reducing cardiovascular disease (CVD) risk, but adherence rates remain low globally. Understanding and addressing modifiable influences on adherence is key to improving outcomes. Existing reviews have methodological limitations, often failing to integrate qualitative and quantitative data or consider specific barriers to statin adherence.
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January 2025
Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Purpose: Cancer survivors in a state with no legal access to cannabis may be hesitant to discuss their cannabis use with providers, particularly in light of legal consequences which disproportionately affect certain racial groups. This study examined potential racial disparities in the relationship of cannabis use status with patient-provider discussions of and attitudes toward cannabis in a state where there is no legal cannabis marketplace.
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PLOS Glob Public Health
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Sydney School of Public Health, The University of Sydney, New South Wales, Australia.
Vaccinating children with disability in low- and middle-income countries, such as Fiji, is a key priority for equity. This study aimed to understand the social and behavioral drivers of vaccine uptake among children with disability in Fiji, from the perspectives of health, disability, and community stakeholders. Five qualitative focus groups were conducted with 22 stakeholders, including healthcare workers, disability service providers and advocates, and community and faith leaders (female n = 17, 77%).
View Article and Find Full Text PDFNpj Health Syst
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Center for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD USA.
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors that could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient data. Ethical concerns surrounding clinical AI systems for social behavior verification can be divided into two main categories: (1) the potential for inaccuracies/biases within such systems, and (2) the impact on trust in patient-provider relationships with the introduction of automated AI systems for "fact-checking", particularly in cases where the data/models may contradict the patient.
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