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1.
JMIR Res Protoc ; 13: e63656, 2024 Aug 26.
Artículo en Inglés | MEDLINE | ID: mdl-39186770

RESUMEN

BACKGROUND: Transgender and nonbinary (TNB) people experience economic and psychosocial inequities that make them more likely to be subject to financial and mental health harms exacerbated by the COVID-19 pandemic. Sustainable, multilevel interventions are needed to address these harms. The onset of the COVID-19 pandemic galvanized many TNB-led organizations to provide emergency financial and peer support for TNB people negatively impacted by the pandemic. However, the efficacy of these interventions has not been evaluated. The Creating Access to Resources and Economic Support (CARES) study seeks to assess the efficacy of feasible, acceptable, and community-derived interventions to reduce economic and psychological harms experienced by transgender people in the wake of the COVID-19 pandemic. OBJECTIVE: The study aims to (1) compare the efficacy of microgrants with peer mentoring with that of microgrants without peer mentoring in reducing psychological distress, (2) examine mechanisms by which microgrants with or without peer mentoring may impact psychological distress, and (3) explore participants' intervention experiences and perceived efficacy. METHODS: We will enroll 360 TNB adults into an embedded, mixed methods, 3-arm, and 12-month randomized controlled trial. Participants will be randomized 1:1:1 to arm A (enhanced usual care), which will receive a single microgrant plus monthly financial literacy education, arm B (extended microgrants), which will receive enhanced usual care plus monthly microgrants, or arm C (peer mentoring), which will receive extended microgrants combined with peer mentoring. All intervention arms last for 6 months, and participants complete semiannual, web-based surveys at 0, 6, and 12 months as well as brief process measures at 3 and 6 months. A subset of 36 participants, 12 (33%) per arm, will complete longitudinal in-depth interviews at 3 and 9 months. RESULTS: Full recruitment began on January 8, 2024, and, as of July 26, 2024, a total of 138 participants have enrolled. Recruitment is expected to be completed no later than March 31, 2025, and the final study visit will take place in March 2026. CONCLUSIONS: This national, web-based study will demonstrate whether an intervention tailored to reduce material hardship and improve peer support among TNB adults will reduce psychological distress. Its equitable, community-academic partnership will ensure the rapid dissemination of study findings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05971160; https://clinicaltrials.gov/study/NCT05971160. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63656.


Asunto(s)
Salud Mental , Grupo Paritario , Personas Transgénero , Humanos , Femenino , Masculino , Adulto , Personas Transgénero/psicología , COVID-19/prevención & control , COVID-19/epidemiología , COVID-19/psicología , Apoyo Financiero , Apoyo Social , Distrés Psicológico , Persona de Mediana Edad
2.
Drug Alcohol Depend ; 221: 108537, 2021 04 01.
Artículo en Inglés | MEDLINE | ID: mdl-33621806

RESUMEN

BACKGROUND: Understanding whether International Classification of Disease, 10th Revision, Clinical Modification (ICD-10-CM) codes can be used to accurately detect substance use can inform their use in future surveillance and research efforts. METHODS: Using 2015-2018 data from a retrospective cohort study of 602 safety-net patients prescribed opioids for chronic non-cancer pain, we calculated the sensitivity and specificity of using ICD-10-CM codes to detect illicit substance use compared to retrospective self-report by substance (methamphetamine, cocaine, opioids [heroin or non-prescribed opioid analgesics]), self-reported use frequency, and type of healthcare encounter. RESULTS: Sensitivity of ICD-10-CM codes for detecting self-reported substance use was highest for methamphetamine (49.5 % [95 % confidence interval: 39.6-59.5 %]), followed by cocaine (44.4 % [35.8-53.2 %]) and opioids (36.3 % [28.8-44.2 %]); higher for participants who reported more frequent methamphetamine (intermittent use: 27.7 % [14.6-42.6 %]; ≥weekly use: 67.2 % [53.7-79.0 %]) and opioid use (intermittent use: 21.4 % [13.2-31.7 %]; ≥weekly use: 52.6 % [40.8-64.2 %]); highest for outpatient visits (methamphetamine: 43.8 % [34.1-53.8 %]; cocaine: 36.8 % [28.6-45.6 %]; opioids: 33.1 % [25.9-41.0 %]) and lowest for emergency department visits (methamphetamine: 8.6 % [4.0-15.6 %]; cocaine: 5.3 % [2.1-10.5 %]; opioids: 6.3 % [3.0-11.2 %]). Specificity was highest for methamphetamine (96.4 % [94.3-97.8 %]), followed by cocaine (94.0 % [91.5-96.0 %]) and opioids (85.0 % [81.3-88.2 %]). CONCLUSIONS: ICD-10-CM codes had high specificity and low sensitivity for detecting self-reported substance use but were substantially more sensitive in detecting frequent use. ICD-10-CM codes to detect substance use, particularly those from emergency department visits, should be used with caution, but may be useful as a lower-bound population measure of substance use or for capturing frequent use among certain patient populations.


Asunto(s)
Drogas Ilícitas , Clasificación Internacional de Enfermedades , Trastornos Relacionados con Sustancias/diagnóstico , Adulto , Analgésicos Opioides/uso terapéutico , Dolor Crónico/tratamiento farmacológico , Cocaína , Servicio de Urgencia en Hospital , Femenino , Heroína , Humanos , Masculino , Metanfetamina , Persona de Mediana Edad , Trastornos Relacionados con Opioides/tratamiento farmacológico , Estudios Retrospectivos , Autoinforme , Sensibilidad y Especificidad
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