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Enhancing access to alcohol use disorder pharmacotherapy and treatment in primary care settings: ADaPT-PC.

ABSTRACT: Only 7.8 % of individuals meeting diagnostic criteria for alcohol use disorder (AUD) receive treatment in a given year. Most individuals with AUDs are identified in primary care (PC) settings and referred to substance use disorders (SUD) clinics; however, only a minority of those referred attend treatment services. Safe and effective pharmacological treatments for AUD exist, but they are rarely prescribed by PC providers. The objective of this study is to refine, implement, and evaluate an intervention to integrate pharmacological AUD treatment options into PC settings. This paper provides a detailed description of the intervention design and the evaluation components.Three large Veterans Health Administration (VHA) facilities are participating in the intervention. The intervention targets stakeholder groups with tailored strategies based on implementation theory and prior research identifying barriers to implementation of AUD pharmacotherapy. Local SUD providers and primary care mental health integration (PCMHI) providers are trained to serve as local implementation/clinical champions and receive external facilitation. PC providers receive access to consultation from local and national clinical champions, educational materials, and a dashboard of patients with AUD on their caseloads for case identification. Veterans with AUD diagnoses receive educational information in the mail just prior to a scheduled PC visit. Effectiveness of the intervention will be evaluated through an interrupted time series with matched controls to monitor change in facility level AUD pharmacotherapy prescribing rates. Following Stetler's four-phase formative evaluation (FE) strategy, FE methods include (1) developmental FE (pre-implementation interviews with champions, PC providers, and Veterans), (2) implementation-focused FE (tracking attendance at facilitation meetings, academic detailing efforts by local champions, and patient dashboard utilization), (3) progress-focused FE (tracking rates of AUD pharmacotherapy prescribing and rates of referral to PCMHI and SUD specialty care), and (4) interpretive FE (post-implementation interviews with champions and PC providers). Analysis of FE data will be guided by the Consolidated Framework for Implementation Research (CFIR).If demonstrated to be successful, this implementation strategy will provide a replicable, feasible, and relative low-cost method for integrating AUD treatment services into PC settings, thereby increasing access to AUD treatment.

SUBMITTER: Hagedorn HJ

PROVIDER: S-EPMC4862158 | biostudies-other | 2016 May

REPOSITORIES: biostudies-other

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Project description:BackgroundDespite the high prevalence of alcohol use disorders (AUDs), in 2016, only 7.8% of individuals meeting diagnostic criteria received any type of AUD treatment. Developing options for treatment within primary care settings is imperative to increase treatment access. As part of a trial to implement AUD pharmacotherapy in primary care settings, this qualitative study analyzed pre-implementation provider interviews using the Consolidated Framework for Implementation Research (CFIR) to identify implementation barriers.MethodsThree large Veterans Health Administration facilities participated in the implementation intervention. Local providers were trained to serve as implementation/clinical champions and received external facilitation from the project team. Primary care providers received a dashboard of patients with AUD for case identification, educational materials, and access to consultation from clinical champions. Veterans with AUD diagnoses received educational information in the mail. Prior to the start of implementation activities, 24 primary care providers (5-10 per site) participated in semi-structured interviews. Transcripts were analyzed using common coding techniques for qualitative data using the CFIR codebook Innovation/Intervention Characteristics, Outer Setting, Inner Setting, and Characteristics of Individuals domains. Number and type of barriers identified were compared to quantitative changes in AUD pharmacotherapy prescribing rates.ResultsFour major barriers emerged across all three sites: complexity of providing AUD pharmacotherapy in primary care, the limited compatibility of AUD treatment with existing primary care processes, providers' limited knowledge and negative beliefs about AUD pharmacotherapy and providers' negative attitudes toward patients with AUD. Site specific barriers included lack of relative advantage of providing AUD pharmacotherapy in primary care over current practice, complaints about the design quality and packaging of implementation intervention materials, limited priority of addressing AUD in primary care and limited available resources to implement AUD pharmacotherapy in primary care.ConclusionsCFIR constructs were useful for identifying pre-implementation barriers that informed refinements to the implementation intervention. The number and type of pre-implementation barriers identified did not demonstrate a clear relationship to the degree to which sites were able to improve AUD pharmacotherapy prescribing rate. Site-level implementation process factors such as leadership support and provider turn-over likely also interacted with pre-implementation barriers to drive implementation outcomes.

Project description:BackgroundAlcohol use disorder (AUD) imposes a high mortality and economic burden. Effective treatment is available, though underutilized.ObjectiveDescribe trends in AUD pharmacotherapy, variation in prescribing, and associated patient factors.DesignRetrospective cohort using electronic health records from 2010 to 2019.ParticipantsPrimary care patients from 39 clinics in Ohio and Florida with diagnostic codes for alcohol dependence or abuse plus social history indicating alcohol use. PCPs in family or internal medicine with at least 20 AUD patients.Main measuresPharmacotherapy for AUD (naltrexone, acamprosate, and disulfiram), abstinence from alcohol, patient demographics, and comorbidities. Generalized linear mixed models were used to identify patient factors associated with prescriptions and the association of pharmacotherapy with abstinence.Key resultsWe identified 13,250 patients; average age was 54 years, 66.9% were male, 75.0% were White, and median household income was $51,776 per year. Over 10 years, the prescription rate rose from 4.4 to 5.6%. Patients who were Black (aOR 0.74; 95% CI 0.58, 0.94) and insured by Medicare versus commercial insurance (aOR 0.61; 95% CI 0.48, 0.78) were less likely to be treated. Higher median household income ($10,000 increment, aOR 1.06; 95% CI 1.03, 1.10) and Medicaid versus commercial insurance (aOR 1.52; 95% CI 1.24, 1.87) were associated with treatment. Receiving pharmacotherapy was associated with subsequent documented abstinence from alcohol (aOR 1.60; 95% CI 1.33, 1.92). We identified 236 PCPs. The average prescription rate was 3.6% (range 0 to 24%). The top decile prescribed to 14.6% of their patients. The bottom 4 deciles had no prescriptions. Family physicians had higher rates of pharmacotherapy than internists (OR 1.50; 95% CI 1.21, 1.85).ConclusionsMedications for AUD are infrequently prescribed, but there is considerable variation among PCPs. Increasing the use of pharmacotherapy by non-prescribers may increase abstinence from alcohol.

Project description:BACKGROUND:Alcohol use disorder (AUD) is highly prevalent and accounts globally for 1.6% of disability-adjusted life years (DALYs) among females and 6.0% of DALYs among males. Effective treatments for AUDs are available but are not commonly practiced in primary health care. Furthermore, referral to specialized care is often not successful and patients that do seek treatment are likely to have developed more severe dependence. A more cost-efficient health care model is to treat less severe AUD in a primary care setting before the onset of greater dependence severity. Few models of care for the management of AUD in primary health care have been developed and with limited implementation. This proposed systematic review will synthesize and evaluate differential models of care for the management of AUD in primary health care settings. METHODS:We will conduct a systematic review to synthesize studies that evaluate the effectiveness of models of care in the treatment of AUD in primary health care. A comprehensive search approach will be conducted using the following databases; MEDLINE (1946 to present), PsycINFO (1806 to present), Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL) (1991 to present), and Embase (1947 to present). Reference searches of relevant reviews and articles will be conducted. Similarly, a gray literature search will be done with the help of Google and the gray matter tool which is a checklist of health-related sites organized by topic. Two researchers will independently review all titles and abstracts followed by full-text review for inclusion. The planned method of extracting data from articles and the critical appraisal will also be done in duplicate. For the critical appraisal, the Cochrane risk of bias tool 2.0 will be used. DISCUSSION:This systematic review and meta-analysis aims to guide improvement of design and implementation of evidence-based models of care for the treatment of alcohol use disorder in primary health care settings. The evidence will define which models are most promising and will guide further research. PROTOCOL REGISTRATION NUMBER:PROSPERO CRD42019120293.

Project description:Background and aimsPharmacotherapy can be an important part of the continuum of care for alcohol use disorder (AUD). The Swedish universal health-care system emphasizes provision of care to marginalized groups. The primary aim was to test associations of neighborhood deprivation and disadvantaged social status with receipt of AUD pharmacotherapy in this context.DesignData from linked population registers were used to follow an open cohort over 7 years.SettingSweden.ParticipantsAlcohol-related ICD-10 codes reported for all hospitalizations in the Swedish Hospital Discharge Register and all clinic/office visits in the Outpatient Care Register between 2005 and 2012 were used to identify 62 549 cases with AUD.MeasurementsThe primary outcome was any AUD pharmacotherapy (naltrexone, disulfiram, acamprosate, nalmefene) picked up by patients between 2005 and 2012 (versus none), based on the Swedish Prescribed Drug Register. Neighborhood deprivation was defined using aggregated data from the Total Population Register; indicators of disadvantaged social status (income, education, country of origin) also came from this source.FindingsApproximately half the cases (53.7%) picked up one or more AUD pharmacotherapy prescriptions. In adjusted models, people living in neighborhoods with moderate [odds ratio (OR) = 0.90, 95% confidence interval (CI) = 0.86, 0.95] or high levels of deprivation (OR = 0.75, 95% CI = 0.70, 0.79) compared with low deprivation, those with lower incomes (for example, lowest quartile: OR = 0.70, 95% CI = 0.66, 0.73 compared with highest) and less education (for example, < 10 years: OR = 0.82, 95% CI = 0.78, 0.85 compared with 12+ years) and people born outside Sweden (OR = 0.74, 95% CI = 0.71, 0.78 compared with Swedish-born) were significantly less likely to pick up a prescription for AUD pharmacotherapy during the study period.ConclusionsThere appear to be socio-economic disparities in the receipt of pharmacotherapy for alcohol use disorder in Sweden.

Project description:The prompt identification of frailty in primary care is the first step to offer personalized care to older individuals. We aimed to detect and quantify frailty among primary care older patients, by developing and validating a primary care frailty index (PC-FI) based on routinely collected health records and providing sex-specific frailty charts. The PC-FI was developed using data from 308,280 primary care patients ≥ 60 years old part of the Health Search Database (HSD) in Italy (baseline 2013-2019) and validated in the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K; baseline 2001-2004), a well-characterized population-based cohort including 3363 individuals ≥ 60 years old. Potential health deficits part of the PC-FI were identified through ICD-9, ATC, and exemption codes and selected through an optimization algorithm (i.e., genetic algorithm), using all-cause mortality as the main outcome for the PC-FI development. The PC-FI association at 1, 3 and 5 years, and discriminative ability for mortality and hospitalization were tested in Cox models. The convergent validity with frailty-related measures was verified in SNAC-K. The following cut-offs were used to define absent, mild, moderate and severe frailty: < 0.07, 0.07-0.14, 0.14-0.21, and ≥ 0.21. Mean age of HSD and SNAC-K participants was 71.0 years (55.4% females). The PC-FI included 25 health deficits and showed an independent association with mortality (hazard ratio range 2.03-2.27; p < 0.05) and hospitalization (hazard ratio range 1.25-1.64; p < 0.05) and a fair-to-good discriminative ability (c-statistics range 0.74-0.84 for mortality and 0.59-0.69 for hospitalization). In HSD 34.2%, 10.9% and 3.8% were deemed mildly, moderately, and severely frail, respectively. In the SNAC-K cohort, the associations between PC-FI and mortality and hospitalization were stronger than in the HSD and PC-FI scores were associated with physical frailty (odds ratio 4.25 for each 0.1 increase; p < 0.05; area under the curve 0.84), poor physical performance, disability, injurious falls, and dementia. Almost 15% of primary care patients ≥ 60 years old are affected by moderate or severe frailty in Italy. We propose a reliable, automated, and easily implementable frailty index that can be used to screen the primary care population for frailty.

Project description:Background: Health care in Vietnam is challenged by a high burden of hypertension (HTN). Since 2000, several interventions were implemented to manage HTN; it is not clear what is the status of patient access to HTN care. Objective: This article aims to perform a systematic narrative review of the available evidence on access to HTN care and services in primary health-care settings in Vietnam. Methods: Search engines were used to identify relevant records of scientific and grey literature. Data from selected articles were analysed using standardised spreadsheets and MaxQDA and following a framework synthesis methodology. Results: There has been increasing interest in research and policy concerning the burden of HTN in Vietnam, covering many aspects of access to treatment at the primary health-care level. Vietnam's National HTN Programme is managed as a vertical programme and its services integrated into the network of primary health-care facilities across the public sector in selected provinces. The Programme financed population-wide screening campaigns for the early detection of HTN among people above 40 years of age. There was no information on the acceptability of HTN health services, especially regarding the interaction between patients and health professionals. In general, articles reported good availability of medication, but problems in accessing them included: fragmentation and lack of consistency in prescribing medication between different levels and short timespans for dispensing medication at primary health-care facilities. There was limited information related to the cost and economic impact of HTN treatment. Treatment adherence among hypertensive patients based on four studies did not exceed 70%. Conclusions: Although the Vietnamese health-care system has taken steps to accommodate some of the needs of HTN patients, it is crucial to scale-up interventions that allow for regular, systematic, and integrated care, especially at the lowest levels of care.

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Enhancing access to alcohol use disorder pharmacotherapy and treatment in primary care settings: ADaPT-PC.

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