Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Filtrar
1.
BMJ Open ; 14(7): e083870, 2024 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-38955365

RESUMO

INTRODUCTION: Health behaviours such as exercise and diet strongly influence well-being and disease risk, providing the opportunity for interventions tailored to diverse individual contexts. Precise behaviour interventions are critical during adolescence and young adulthood (ages 10-25), a formative period shaping lifelong well-being. We will conduct a systematic review of just-in-time adaptive interventions (JITAIs) for health behaviour and well-being in adolescents and young adults (AYAs). A JITAI is an emerging digital health design that provides precise health support by monitoring and adjusting to individual, specific and evolving contexts in real time. Despite demonstrated potential, no published reviews have explored how JITAIs can dynamically adapt to intersectional health factors of diverse AYAs. We will identify the JITAIs' distal and proximal outcomes and their tailoring mechanisms, and report their effectiveness. We will also explore studies' considerations of health equity. This will form a comprehensive assessment of JITAIs and their role in promoting health behaviours of AYAs. We will integrate evidence to guide the development and implementation of precise, effective and equitable digital health interventions for AYAs. METHODS AND ANALYSIS: In adherence to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, we will conduct a systematic search across multiple databases, including CENTRAL, MEDLINE and WHO Global Index Medicus. We will include peer-reviewed studies on JITAIs targeting health of AYAs in multiple languages. Two independent reviewers will conduct screening and data extraction of study and participant characteristics, JITAI designs, health outcome measures and equity considerations. We will provide a narrative synthesis of findings and, if data allows, conduct a meta-analysis. ETHICS AND DISSEMINATION: As we will not collect primary data, we do not require ethical approval. We will disseminate the review findings through peer-reviewed journal publication, conferences and stakeholder meetings to inform participatory research. PROSPERO REGISTRATION NUMBER: CRD42023473117.


Assuntos
Comportamentos Relacionados com a Saúde , Revisões Sistemáticas como Assunto , Humanos , Adolescente , Adulto Jovem , Projetos de Pesquisa , Promoção da Saúde/métodos , Exercício Físico
2.
BMJ Open ; 14(5): e081673, 2024 May 07.
Artigo em Inglês | MEDLINE | ID: mdl-38719322

RESUMO

INTRODUCTION: After COVID-19, a global mental health crisis affects young people, with one in five youth experiencing mental health problems worldwide. Delivering mental health interventions via mobile devices is a promising strategy to address the treatment gap. Mental health apps are effective for adolescent and young adult samples, but face challenges such as low real-world reach and under-representation of minoritised youth. To increase digital health uptake, including among minoritised youth, there is a need for diversity, equity and inclusion (DEI) considerations in the development and evaluation of mental health apps. How well DEI is integrated into youth mental health apps has not been comprehensively assessed. This scoping review aims to examine to what extent DEI considerations are integrated into the design and evaluation of youth mental health apps and report on youth, caregiver and other stakeholder involvement. METHODS AND ANALYSIS: We will identify studies published in English from 2009 to 29 September 2023 on apps for mental health in youth. We will use PubMed, Global Health, APA PsycINFO, SCOPUS, CINAHL PLUS and the Cochrane Database and will report according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Papers eligible for inclusion must be peer-reviewed publications in English involving smartphone applications used by adolescents or young adults aged 10-25, with a focus on depression, anxiety or suicidal ideation. Two independent reviewers will review and extract articles using a template developed by the authors. We will analyse the data using narrative synthesis and descriptive statistics. This study will identify gaps in the literature and provide a roadmap for equitable and inclusive mental health apps for youth. ETHICS AND DISSEMINATION: Ethics approval is not required. Findings will be disseminated through academic, industry, community networks and scientific publications.


Assuntos
Aplicativos Móveis , Humanos , Adolescente , Adulto Jovem , COVID-19/epidemiologia , Saúde Mental , Serviços de Saúde Mental/organização & administração , SARS-CoV-2 , Projetos de Pesquisa , Telemedicina/métodos , Transtornos Mentais/terapia , Literatura de Revisão como Assunto
3.
Int J Equity Health ; 22(1): 265, 2023 Dec 21.
Artigo em Inglês | MEDLINE | ID: mdl-38129909

RESUMO

INTRODUCTION: The scientific study of racism as a root cause of health inequities has been hampered by the policies and practices of medical journals. Monitoring the discourse around racism and health inequities (i.e., racism narratives) in scientific publications is a critical aspect of understanding, confronting, and ultimately dismantling racism in medicine. A conceptual framework and multi-level construct is needed to evaluate the changes in the prevalence and composition of racism over time and across journals. OBJECTIVE: To develop a framework for classifying racism narratives in scientific medical journals. METHODS: We constructed an initial set of racism narratives based on an exploratory literature search. Using a computational grounded theory approach, we analyzed a targeted sample of 31 articles in four top medical journals which mentioned the word 'racism'. We compiled and evaluated 80 excerpts of text that illustrate racism narratives. Two coders grouped and ordered the excerpts, iteratively revising and refining racism narratives. RESULTS: We developed a qualitative framework of racism narratives, ordered on an anti-racism spectrum from impeding anti-racism to strong anti-racism, consisting of 4 broad categories and 12 granular modalities for classifying racism narratives. The broad narratives were "dismissal," "person-level," "societal," and "actionable." Granular modalities further specified how race-related health differences were related to racism (e.g., natural, aberrant, or structurally modifiable). We curated a "reference set" of example sentences to empirically ground each label. CONCLUSION: We demonstrated racism narratives of dismissal, person-level, societal, and actionable explanations within influential medical articles. Our framework can help clinicians, researchers, and educators gain insight into which narratives have been used to describe the causes of racial and ethnic health inequities, and to evaluate medical literature more critically. This work is a first step towards monitoring racism narratives over time, which can more clearly expose the limits of how the medical community has come to understand the root causes of health inequities. This is a fundamental aspect of medicine's long-term trajectory towards racial justice and health equity.


Assuntos
Racismo , Humanos , Teoria Fundamentada , Disparidades nos Níveis de Saúde , Grupos Raciais , Justiça Social
4.
Front Digit Health ; 4: 807886, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35295620

RESUMO

Introduction: Digital health, the use of apps, text-messaging, and online interventions, can revolutionize healthcare and make care more equitable. Currently, digital health interventions are often not designed for those who could benefit most and may have unintended consequences. In this paper, we explain how privacy vulnerabilities and power imbalances, including racism and sexism, continue to influence health app design and research. We provide guidelines for researchers to design, report and evaluate digital health studies to maximize social justice in health. Methods: From September 2020 to April 2021, we held five discussion and brainstorming sessions with researchers, students, and community partners to develop the guide and the key questions. We additionally conducted an informal literature review, invited experts to review our guide, and identified examples from our own digital health study and other studies. Results: We identified five overarching topics with key questions and subquestions to guide researchers in designing or evaluating a digital health research study. The overarching topics are: 1. Equitable distribution; 2. Equitable design; 3. Privacy and data return; 4. Stereotype and bias; 5. Structural racism. Conclusion: We provide a guide with five key topics and questions for social justice digital health research. Encouraging researchers and practitioners to ask these questions will help to spark a transformation in digital health toward more equitable and ethical research. Future work needs to determine if the quality of studies can improve when researchers use this guide.

5.
Lancet Digit Health ; 3(8): e526-e533, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34325855

RESUMO

Digital health, including the use of mobile health apps, telemedicine, and data analytics to improve health systems, has surged during the COVID-19 pandemic. The social and economic fallout from COVID-19 has further exacerbated gender inequities, through increased domestic violence against women, soaring unemployment rates in women, and increased unpaid familial care taken up by women-all factors that can worsen women's health. Digital health can bolster gender equity through increased access to health care, empowerment of one's own health data, and reduced burden of unpaid care work. Yet, digital health is rarely designed from a gender equity perspective. In this Viewpoint, we show that because of lower access and exclusion from app design, gender imbalance in digital health leadership, and harmful gender stereotypes, digital health is disadvantaging women-especially women with racial or ethnic minority backgrounds. Tackling digital health's gender inequities is more crucial than ever. We explain our feminist intersectionality framework to tackle digital health's gender inequities and provide recommendations for future research.


Assuntos
Etnicidade/estatística & dados numéricos , Feminismo , Grupos Minoritários/estatística & dados numéricos , Sexismo , Telemedicina , Saúde da Mulher , COVID-19 , Violência Doméstica , Feminino , Acessibilidade aos Serviços de Saúde , Humanos , Aplicativos Móveis , Desemprego , Saúde da Mulher/estatística & dados numéricos , Saúde da Mulher/tendências
6.
Ned Tijdschr Geneeskd ; 157(16): A5790, 2013.
Artigo em Holandês | MEDLINE | ID: mdl-23594871

RESUMO

In April 2012, 20 medical students took part in a study tour to San Francisco, themed 'ethnic diversity in health care'. In this article we discuss four lessons learned from the perspective of these students. The delivery of culturally sensitive healthcare is becoming more important in the Netherlands as the ethnic minority population rate will continue to grow over the coming years. However, diversity education is not a structural component of medical curricula in the Netherlands to the same degree as in the USA where medical education pays a lot of attention to differences in health between ethnic minorities; and where there is also extensive research on this subject. We emphasize that diversity education should create awareness of differences in health outcomes between ethnic groups and awareness of one's own bias and stereotypical views. The implementation of diversity education is a challenge, which requires a change of image and the involvement of teachers from diverse medical disciplines.


Assuntos
Diversidade Cultural , Educação Médica/normas , Etnicidade/estatística & dados numéricos , Grupos Minoritários/estatística & dados numéricos , Estudantes de Medicina/estatística & dados numéricos , Cultura , Currículo , Atenção à Saúde , Educação Médica/estatística & dados numéricos , Humanos , Países Baixos , São Francisco , Faculdades de Medicina/estatística & dados numéricos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA