Literature Collection

BACKGROUND: Prescribing medication for opioid use disorder (MOUD) in primary care helps meet treatment demand, but few studies examine long-term treatment retention among medically-underserved primary care patients. METHODS: This 9-year retrospective study assessed overall retention at 6 months, and yearly up to 9 years, among 1451 patients with at least 6 months of buprenorphine prescription data from a federally-qualified health center (FQHC). We also examined whether patients who had gaps in treatment (>14 days without medication) later returned to care. Associations with treatment retention over total time in care were assessed. RESULTS: On average, patients received buprenorphine treatment for 2.26 years. Among patients who experienced gaps in treatment but returned to care within 90 days, 64% were still receiving buprenorphine at six months (n=930 of 1451), and 70% (n =118 of 169) at 9 years, with an average yearly interval retention of 69% (range: 58-74%). Patients were on MOUD treatment and not in a gap about 81% of the time, and averaged 1.0 gap per patient per year (SD: 1.09; range 0-7.87). The mean gap length over the treatment period was 33.16 days. Older age, higher percentages of negative opioid tests, negative cocaine tests, and positive buprenorphine tests, and having diabetes were associated with longer treatment retention. CONCLUSIONS: Opioid use disorder (OUD) can be treated successfully in primary care FQHCs. Treatment gaps are common and reflect the chronic relapsing nature of OUD.

BACKGROUND: to understand if patients seen at Centro Hospitalar Psiquiátrico de Lisboa (CHPL) live in geographical clusters or randomly throughout the city, as well as determine their access to the psychiatric hospital and primary care facilities (PCF). METHODS: spatial autocorrelation statistics were performed (queen criterion of contiguity), regarding all patients observed at CHPL in 2017 (at the census subsection level), and considering not only their overall number but also main diagnosis, and admission to the psychiatric ward - voluntary or compulsory. Distance to the hospital and to the closest PCF was measured (for each patient and the variables cited above), and the mean values were compared. Finally, the total number of patients around each PCF was counted, considering specified radius sizes of 656 and 1000 m. RESULTS: All 5161 patients (509 psychiatric admissions) were geolocated, and statistical significance regarding patient clustering was found for the total number (p-0.0001) and specific group of disorders, namely Schizophrenia and related disorders (p-0.007) and depressive disorders (p-0.0002). Patients who were admitted in a psychiatric ward live farther away from the hospital (p-0.002), with the compulsory admissions (versus voluntary ones) living even farther (p-0.004). Furthermore, defining a radius of 1000 m for each PCF allowed the identification of two PCF with more than 1000 patients, and two others with more than 800. CONCLUSIONS: as patients seem to live in geographical clusters (and considering PCFs with the highest number of them), possible locations for the development of programs regarding mental health treatment and prevention can now be identified.