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1.
J Subst Use Addict Treat ; 164: 209429, 2024 Jun 08.
Article in English | MEDLINE | ID: mdl-38857828

ABSTRACT

INTRODUCTION: Low-threshold substance use treatment programs may help overcome barriers for marginalized individuals. The aims of this study were to 1) describe participant characteristics and treatment outcomes for a multi-site, Philadelphia-based mobile program providing street-based buprenorphine initiation, stabilization, and referral to ongoing care and 2) examine associations between patient characteristics and successful linkage. METHODS: We conducted a retrospective cohort study of patients receiving buprenorphine through Prevention Point Philadelphia's mobile overdose response program from 9/2020-12/2021. We abstracted electronic medical record data, including patient characteristics, mobile program treatment, and care linkage. We used descriptive statistics to characterize the sample and assessed the association between patient characteristics and successful care linkage using multi-variable logistic regression. RESULTS: Two hundred thirty-seven patients initiated buprenorphine in the program across six sites. Mean age was 46. Participants were majority men (67 %); 59 % identified as Black, 33 % identified as White, and 15 % reported Hispanic ethnicity. Most were publicly insured (74 %) and 30 % were unstably housed. Basedline engagement in primary care (32 %), psychiatric treatment (5 %), and counseling (2 %) were low. Most participants reported heroin or fentanyl use at intake (87 %), with high rates of IV drug use (37 %)., and co-occurring substance use and prior buprenorphine treatment experience were common.. 86 % completed ≥1 mobile follow-up visit, and 69 % completed ≥4 mobile program visits. 51 % of patients attended at least one visit at an outside site, and 30 % had ≥2 visits for buprenorphine prescriptions at an outside site. 35 % of the referrals were internal, meaning they went to University-based practices staffed by the mobile unit physicians. In a multivariable logistic regression model, internal referral was associated with significantly increased odds of effective care linkage (aOR 2.47, 95 % CI 1.20-5.09). CONCLUSIONS: Targeted community outreach with low-threshold substance use care facilitated treatment access among marginalized individuals. Participants showed high levels of engagement with the mobile program, but rates of outside care linkage, while comparable to retention in other low-threshold models, were lower. The only predictor of effective care linkage was referral to brick-and-mortar clinics staffed by mobile unit physicians. These findings support the importance of outreach beyond traditional health care settings to engage high-risk patients with OUD.

3.
Drug Alcohol Depend ; 248: 109915, 2023 Jul 01.
Article in English | MEDLINE | ID: mdl-37207615

ABSTRACT

PURPOSE: Low-barrier treatment is an emerging strategy for opioid use disorder (OUD) care that prioritizes access to evidence-based medication while minimizing requirements that may limit treatment access in more traditional delivery models, particularly for marginalized patients. Our objective was to explore patient perspectives about low-barrier approaches, with a focus on understanding barriers to and facilitators of engagement from the patient point of view. METHODS: We conducted semi-structured interviews with patients accessing buprenorphine treatment from a multi-site, low-barrier mobile treatment program in Philadelphia, PA from July-December 2021. We analyzed interview data using thematic content analysis and identified key themes. RESULTS: The 36 participants were 58% male, 64% Black, 28% White, and 31% Latinx. 89% were enrolled in Medicaid, and 47% were unstably housed. Our analysis revealed three main facilitators of treatment in the low-barrier model. These included 1) program structure that met participant needs, such as flexibility, rapid medication access and robust case management services; 2) harm reduction approach that included acceptance of patient goals other than abstinence and provision of harm reduction services on-site; and 3) strong interpersonal connections with team members, including those with lived experience. Participants contrasted these experiences with other care they had received in the past. Barriers related to lack of structure, limitations of street-based care, and limited support for co-occurring needs, particularly mental health. CONCLUSIONS: This study provides key patient perspectives on low-barrier approaches for OUD treatment. Our findings can inform future program design to increase treatment access and engagement for individuals poorly served by traditional delivery models.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Humans , Male , Female , Opioid-Related Disorders/drug therapy , Buprenorphine/therapeutic use , Health Services Accessibility , Harm Reduction , Philadelphia , Opiate Substitution Treatment , Analgesics, Opioid/therapeutic use
4.
Med Care Res Rev ; 64(4): 351-78, 2007 Aug.
Article in English | MEDLINE | ID: mdl-17684107

ABSTRACT

Despite documented preferences for home death, the majority of deaths from terminal illness occur in hospital. To better understand variation in place of death, we conducted a systematic literature review and a multilevel analysis in which we linked death certificates with county and state data. The results of both components revealed that opportunities for home death are disproportionately found in certain groups of Americans; more specifically, those who are White, have greater access to resources and social support, and die of cancer. From the multilevel analysis, the higher the proportion minority and the lower the level of educational attainment, the higher the probability of hospital death while investment in institutional long-term care, measured by regional density of nursing home beds and state Medicaid payment rate, was associated with higher probability of nursing home death. These results reinforce the importance of both social and structural characteristics in shaping the end-of-life experience.


Subject(s)
Attitude to Death , Home Care Services/statistics & numerical data , Hospitals/statistics & numerical data , Nursing Homes/statistics & numerical data , Terminally Ill/psychology , Cross-Sectional Studies , Death Certificates , Demography , Empirical Research , Humans , Patient Satisfaction , Probability , Residence Characteristics , Social Support , Terminally Ill/classification , United States
5.
Prev Med ; 42(5): 386-9, 2006 May.
Article in English | MEDLINE | ID: mdl-16504279

ABSTRACT

BACKGROUND: National-level data are often used to identify groups of women at greater risk of not obtaining mammography, who might then receive targeted interventions. An important question, however, is how well results of national-level analyses match results from smaller samples of the same dataset. This study investigated the consistency of results about correlates of mammography from a single national-level analysis versus the results from analyses within each of five quintiles of mammography rates and nine Census subdivisions. METHODS: The sample for all analyses were women aged 42-79 from the Year 2002 United States' Behavioral Risk Factor Surveillance System (N = 80,283). Recent mammography was defined as self-report of a mammogram within the 2 years prior to the interview. Independent variables included sociodemographics, health practices, and a combined insurance status/usual source of care variable. RESULTS: Only smoking status, Pap testing, dental visit, and health insurance/source of care had consistent results with mammography status across all levels of analysis. Results for the other covariates, including standard sociodemographics, showed varying degrees of consistency. CONCLUSIONS: Caution is advised when using national data to inform regional or local intervention planning. Local and regional data are necessary to target programs to groups at greatest need for intervention.


Subject(s)
Health Behavior , Mammography/statistics & numerical data , Population Surveillance/methods , Preventive Health Services/statistics & numerical data , Women's Health , Adult , Aged , Female , Humans , Middle Aged , United States
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