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1.
Med Care ; 61(12 Suppl 2): S104-S108, 2023 12 01.
Artigo em Inglês | MEDLINE | ID: mdl-37963028

RESUMO

BACKGROUND: The 2020-2029 strategic plan for the Patient-Centered Outcomes Research Trust Fund calls for addressing data infrastructure gaps that are critical for studying issues around intellectual and developmental disabilities (I/DD). Specifically, the plan calls for data collection on economic factors that affect person-centered approaches to health care decision-making. Among people with I/DD and their caregivers, such economic factors may include financial costs of care, decreased opportunities for leisure and recreation, income losses associated with caregiving, and foregone opportunities for skill acquisition or other human capital investments. OBJECTIVE: This commentary supports responsiveness to the Patient-Centered OutcomesResearch Trust Fund (PCORTF) calls by conceptualizing and operationalizing a framework for identifying preferences on economic factors that are relevant to people with I/DD and their caregivers. MAIN ARGUMENTS: The framework outlined in this commentary addresses barriers to data collection that hinder measure development in the study of I/DD. This work is significant and timely given the continued movement to integrate and maintain people with I/DD within communities and recent methodological advances for eliciting preferences among people with I/DD. RELEVANCE TO THE SPECIAL ISSUE: Readers will be introduced to a framework for building data capacity in the study of economic outcomes among a population that is a high research priority for federal funding agencies. This commentary aims to be useful to researchers in planning, developing, and initiating projects in this area.


Assuntos
Cuidadores , Deficiência Intelectual , Humanos , Criança , Deficiências do Desenvolvimento , Coleta de Dados , Fatores Econômicos
2.
BMJ Open ; 11(8): e046603, 2021 08 09.
Artigo em Inglês | MEDLINE | ID: mdl-34373298

RESUMO

INTRODUCTION: Endometriosis is a debilitating chronic inflammatory condition highly burdensome to the healthcare system. The present trial will establish the efficacy of (1) yoga and (2) cognitive-behavioural therapy (CBT), above (3) education, on quality of life, biopsychosocial outcomes and cost-effectiveness. METHODS AND ANALYSIS: This study is a parallel randomised controlled trial. Participants will be randomly allocated to yoga, CBT or education. Participants will be English-speaking adults, have a diagnosis of endometriosis by a qualified physician, with pain for at least 6 months, and access to internet. Participants will attend 8 weekly group CBT sessions of 120 min; or 8 weekly group yoga sessions of 60 min; or receive weekly educational handouts on endometriosis. The primary outcome measure is quality of life. The analysis will include mixed-effects analysis of variance and linear models, cost-utility analysis from a societal and health system perspective and qualitative thematic analysis. ETHICS AND DISSEMINATION: Enrolment in the study is voluntary and participants can withdraw at any time. Participants will be given the option to discuss the study with their next of kin/treating physician. Findings will be disseminated via publications, conferences and briefs to professional organisations. The University's media team will also be used to further disseminate via lay person articles and media releases. TRIAL REGISTRATION NUMBER: ACTRN12620000756921p; Pre-results.


Assuntos
Terapia Cognitivo-Comportamental , Endometriose , Yoga , Adulto , Análise Custo-Benefício , Endometriose/terapia , Feminino , Custos de Cuidados de Saúde , Humanos , Qualidade de Vida , Resultado do Tratamento
3.
Agric Resour Econ Rev ; 50(1): 1-21, 2020 Oct 29.
Artigo em Inglês | MEDLINE | ID: mdl-36111252

RESUMO

Discussions about increasing diversity in economics have ignored the role that associations play in the engagement of underrepresented economists. We continue work on diversity and inclusion in the Northeastern Agriculture and Resource Economics Association (NAREA) and other associations by analyzing membership and meeting attendance to promote diversity in economics. We estimate a vector error correction model (VECM) to identify the determinants of membership and meeting attendance and use member survey data to model membership and meeting attendance behavior. We find inequalities across gender, income, and professional status. Recommendations include locating meetings in accessible cities, increasing networking opportunities, and providing more services supporting underrepresented groups.

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