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Current definitions of migraine that are based mainly on clinical characteristics do not account for other patient's features such as those related to an impaired quality of life, due to loss of social life and productivity, and the differences related to the geographical distribution of the disease and cultural misconceptions which tend to underestimate migraine as a psychosocial rather than neurobiological disorder. Global differences definition, care access, and health equity for headache disorders, especially migraine are reported in this paper from a collaborative group of the editorial board members of the Journal of Headache and Pain. Other components that affect patients with migraine, in addition to the impact promoted by the migraine symptoms such as stigma and social determinants, are also reported. [ABSTRACT FROM AUTHOR]

The World Health Organisation advocates Digital Health Technologies (DHTs) for advancing population health, yet concerns about inequitable outcomes persist. Differences in access and use of DHTs across different demographic groups can contribute to inequities. Academics and policy makers have acknowledged this issue and called for inclusive digital health strategies. This systematic review synthesizes literature on these strategies and assesses facilitators and barriers to their implementation. We searched four large databases for qualitative studies using terms relevant to digital technology, health inequities, and socio-demographic factors associated with digital exclusion summarised by the CLEARS framework (Culture, Limiting conditions, Education, Age, Residence, Socioeconomic status). Following the PRISMA guidelines, 10,401 articles were screened independently by two reviewers, with ten articles meeting our inclusion criteria. Strategies were grouped into either outreach programmes or co-design approaches. Narrative synthesis of these strategies highlighted three key themes: firstly, using user-friendly designs, which included software and website interfaces that were easy to navigate and compatible with existing devices, culturally appropriate content, and engaging features. Secondly, providing supportive infrastructure to users, which included devices, free connectivity, and non-digital options to help access healthcare. Thirdly, providing educational support from family, friends, or professionals to help individuals develop their digital literacy skills to support the use of DHTs. Recommendations for advancing digital health equity include adopting a collaborative working approach to meet users' needs, and using effective advertising to raise awareness of the available support. Further research is needed to assess the feasibility and impact of these recommendations in practice. [ABSTRACT FROM AUTHOR]

Background: This study examined health related quality of life (HRQOL) and its predictors among African-, Asian-, Latina-, and European American breast cancer survivors (BCS) using a socio-ecologically and culturally contextual theoretical model of HRQOL.Methods: We employed a case-control, cross sectional design with a population-based sample from the California Cancer Registry. Descriptive, bivariate, and multivariate regression analyses were conducted.Results: The sample included 703 BCS: 135 (19%) African-, 206 (29%) Asian-, 183 (26%) Latina-, and 179 (26%) European Americans. Latinas reported the lowest HRQOL (p < 0.0001). The final regression model explained 70% of variance in HRQOL. Years since diagnosis, number of comorbidities, role limitation, emotional wellbeing, quality of doctor-patient relationship, social support, and life stress are significant HRQOL determinants. Exploratory regression analyses indicate ethnic differences in significant predictors for HRQOL.Conclusions: HRQOL among this multiethnic sample ranged from fair to good. Bivariate analysis suggests that ethnic differences in HRQOL exist. However, regression analyses demonstrated that socio-ecological factors in conjunction with medical characteristics are more salient to HRQOL outcomes, and that ethnic group membership may be a proxy for socio-ecological context. Furthermore, the influence of ethnicity, culture, and social-ecology are complex; research with large, population-based samples are necessary to disentangle the impact of contextual factors on HRQOL. [ABSTRACT FROM AUTHOR]