"I don't think that a medication is going to help someone long-term stay off opioids": Treatment and recovery beliefs of rural Vermont family members of people with opioid use disorder.

PURPOSE: Few studies have addressed beliefs about treatment for opioid use disorder (OUD) among family members of people with OUD, particularly in rural communities. This study examined the beliefs of rural family members of people with OUD regarding treatment, including medication for OUD (MOUD), and recovery. METHODS: Semi-structured qualitative interviews were conducted with rural Vermont family members of people with OUD. Twenty family members completed interviews, and data were analyzed using thematic analysis. RESULTS: Four primary themes related to beliefs about OUD treatment emerged: (1) MOUD is another form of addiction or dependency and should be used short-term; (2) essential OUD treatment components include residential and mental health services and a strong support network involving family; (3) readiness as a precursor to OUD treatment initiation; and (4) stigma as an impediment to OUD treatment and other health care services. CONCLUSIONS: Rural family members valued mental health services and residential OUD treatment programs while raising concerns about MOUD and stigma in health care and the community. Several themes (e.g., MOUD as another form of addiction, residential treatment, and treatment readiness) were consistent with prior research. The belief that MOUD use should be short-term was inconsistent with the belief that OUD is a disease. Findings suggest a need for improved education on the effectiveness of MOUD for family members and on stigma for health care providers and community members.

Statewide Trends in Buprenorphine Prescribing in Rural and Nonrural Vermont: Analysis of Population-based Patient Pharmacy Claims.

IMPORTANCE: Opioid-related mortality rates have risen dramatically over the past decade, and office-based opioid treatment using buprenorphine offers hope for combatting this trend. Vermont's policymakers, health care systems, and treatment providers have worked to expand access to treatment throughout the rural state. OBJECTIVE: The objective of the current study was to characterize the trends in the number of buprenorphine prescribers and the number of patients per prescriber in Vermont over the past decade (2010-2020). METHODS: We used Vermont's all-payer claims database to identify patients with buprenorphine claims between 2010 and 2020 and their prescribers. We conducted analyses of trends in the number of prescribers treating different numbers of patients, the number of patients treated by prescribers in those categories, and the number of rural (vs nonrural) patients filling buprenorphine prescriptions. We used Z tests to determine if there were statistical differences between trends. RESULTS: The number of buprenorphine prescribers treating 10+ patients grew more rapidly than other prescriber groups ( P < 0.001). Nearly half of Vermont patients in 2020 were treated by 33 high-volume prescribers who treated 100 or more patients with buprenorphine. The number of patients filling buprenorphine prescriptions in Vermont increased by 98% between 2010 and 2020, with greater increases seen among rural than nonrural residents (107% vs 72%; P = 0.008). CONCLUSIONS AND RELEVANCE: Since 2010, Vermont has increased utilization of its office-based opioid treatment capacity, particularly in rural counties.

Associations Between Mental and Physical Illness Comorbidity and Hospital Utilization.

OBJECTIVE: Characterize the prevalence of chronic physical illness types and mental illness and their comorbidity among adolescents and young adults (AYA) and assess the association of comorbidity on hospital utilization. METHODS: This study features a population-level sample of 61 339 insurance-eligible AYA with an analytic sample of 49 089 AYA (aged 12-21) in Vermont's 2018 all-payer database. We used multiple logistic regressions to examine the associations between physical illness types and comorbid mental illness and emergency department (ED) use and inpatient hospitalization. RESULTS: The analytic sample was 50% female, 63% Medicaid, and 43% had ≥1 chronic illness. Mental illness was common (31%) and highly comorbid with multiple physical illnesses. Among AYA with pulmonary illness, those with comorbid mental illness had 1.74-times greater odds (95% confidence interval [CI]: 1.49-2.05, P ≤.0005) of ED use and 2.9-times greater odds (95% CI: 2.05-4.00, P ≤.0005) of hospitalization than those without mental illness. Similarly, comorbid endocrine and mental illness had 1.84-times greater odds of ED use (95% CI: 1.39-2.44, P ≤.0005) and 2.1-times greater odds of hospitalization (95% CI: 1.28-3.46, P = .003), comorbid neurologic and mental illness had 1.36-times greater odds of ED use (95% CI: 1.18-1.56, P ≤.0005) and 2.4-times greater odds of hospitalization (95% CI: 1.73-3.29, P ≤.0005), and comorbid musculoskeletal and mental illness had 1.38-times greater odds of ED use (95% CI: 1.02-1.86, P = .04) and 2.1-times greater odds of hospitalization (95% CI: 1.20-3.52, P = .01). CONCLUSIONS: Comorbid physical and mental illness was common. Having a comorbid mental illness was associated with greater ED and inpatient hospital utilization across multiple physical illness types.

Cultural contributions to adults' self-rated mental health problems and strengths: 7 culture clusters, 28 societies, 16 906 adults.

BACKGROUND: It is unknown how much variation in adult mental health problems is associated with differences between societal/cultural groups, over and above differences between individuals. METHODS: To test these relative contributions, a consortium of indigenous researchers collected Adult Self-Report (ASR) ratings from 16 906 18- to 59-year-olds in 28 societies that represented seven culture clusters identified in the Global Leadership and Organizational Behavioral Effectiveness study (e.g. Confucian, Anglo). The ASR is scored on 17 problem scales, plus a personal strengths scale. Hierarchical linear modeling estimated variance accounted for by individual differences (including measurement error), society, and culture cluster. Multi-level analyses of covariance tested age and gender effects. RESULTS: Across the 17 problem scales, the variance accounted for by individual differences ranged from 80.3% for DSM-oriented anxiety problems to 95.2% for DSM-oriented avoidant personality (mean = 90.7%); by society: 3.2% for DSM-oriented somatic problems to 8.0% for DSM-oriented anxiety problems (mean = 6.3%); and by culture cluster: 0.0% for DSM-oriented avoidant personality to 11.6% for DSM-oriented anxiety problems (mean = 3.0%). For strengths, individual differences accounted for 80.8% of variance, societal differences 10.5%, and cultural differences 8.7%. Age and gender had very small effects. CONCLUSIONS: Overall, adults' self-ratings of mental health problems and strengths were associated much more with individual differences than societal/cultural differences, although this varied across scales. These findings support cross-cultural use of standardized measures to assess mental health problems, but urge caution in assessment of personal strengths.

Protective Associations between Supportive Environment and Suicidality among Minority and Majority Adolescents.

OBJECTIVE: To examine the association between supportive environments and adolescent suicidal behavior, especially among marginalized minority groups. METHODS: Participants included 12,196 middle and 16,981 high school students who completed the 2019 Vermont Youth Risk Behavior Survey. Multiple logistic regression models were used to assess the association between three protective factors that were part of a supportive environment (feeling like they matter to people in their community, usually eating dinner at home, having a trusted adult) and suicidality (plan or attempt), controlling for key demographics (sex, sexual orientation, gender identity, and race/ethnicity). Moderating effects of demographics were also explored. RESULTS: All supportive environment variables were protective of making a suicide plan and making a suicide attempt (ORs < 0.75, p-values < 0.005). Students of minority identities were significantly more likely to make a suicide plan (middle school ORs: 1.34-3.51, p-values < 0.0005; high school ORs: 1.19-3.38, p-values < 0.02) and attempt suicide (middle school ORs: 1.42-3.72, p-values < 0.006; high school ORs: 1.38-3.25, p-values < 0.0005) compared to students with majority demographic characteristics. Generally, the associations between having a supportive environment and suicidality did not vary within sexual orientation, gender identify, or race/ethnicity subgroups, suggesting that these supportive environment factors were more universally protective. However, a few associations were stronger among students in the majority demographic groups. CONCLUSIONS: These data suggest that having a supportive environment is protective of suicidality for adolescents from both majority and minority demographic groups.HIGHLIGHTSA supportive environment is protective of adolescent suicide plan and attempt.Minority sexual, gender, and racial identities are risk factors for suicidality.Minority and majority students are protected by supportive environments.

The Association Between Type of Supplementation in the Newborn Nursery and Breastfeeding Outcomes at 2 and 6 Months of Age.

BACKGROUND: Supplementation in the newborn nursery has been associated with shorter breastfeeding duration. However, supplementation may at times be necessary. RESEARCH AIM: To determine the association between type of supplementation in the newborn nursery (mother's own milk, formula, donor human milk) and breastfeeding outcomes at 2 and 6 months of age. METHODS: This was a prospective, longitudinal, observational multi-group cohort study. In total, 2,343 surveys were sent to parents who, prior to delivery, indicated intent to exclusively breastfeed. Participants were grouped by type of nursery supplementation. Surveys asked about breastfeeding outcomes when infants were 2 and 6 months old. Our final analytic sample included data from 1,111 healthy newborns ≥ 35 weeks. We used multiple logistic regression to compare future breastfeeding outcomes for infants who were exclusively directly breastfed or who received supplementation during their birth hospitalization. RESULTS: Both the donor human milk and formula groups had decreased breastfeeding at 2 and 6 months compared to the exclusively directly breastfed group. Notably, for infants who received formula compared to donor human milk, the odds of breastfeeding at 2 and 6 months were 74% and 58% lower, respectively (OR = 0.26, 95% CI [0.12, 0.56] at 2 months; OR = 0.42, 95% CI [0.19, 0.94] at 6 months). The donor human milk group had lower odds of breastfeeding at both follow up times compared to the mother's own milk group. CONCLUSION: Among those who intend to breastfeed, supplementation with donor human milk instead of formula in the newborn nursery may support longer breastfeeding.

Follow-Up After Asthma Emergency Department Visits and Its Relationship With Subsequent Asthma-Related Utilization.

OBJECTIVE: To assess the association between follow-up after an asthma-related emergency department (ED) visit and the likelihood of subsequent asthma-related ED utilization. METHODS: Using data from California Medicaid (2014-2016), and Vermont (2014-2016) and Massachusetts (2013-2015) all-payer claims databases, we identified asthma-related ED visits for patients ages 3 to 21. Follow-up was defined as a visit within 14 days with a primary care provider or an asthma specialist. OUTCOME: asthma-related ED revisit after the initial ED visit. Models included logistic regression to assess the relationship between 14-day follow-up and the outcome at 60 and 365 days, and mixed-effects negative binomial regression to assess the relationship between 14-day follow-up and repeated outcome events (# ED revisits/100 child-years). All models accounted for zip-code level clustering. RESULTS: There were 90,267 ED visits, of which 22.6% had 14-day follow-up. Patients with follow-up were younger and more likely to have commercial insurance, complex chronic conditions, and evidence of prior asthma. 14-day follow-up was associated with decreased subsequent asthma-related ED revisits at 60 days (5.7% versus 6.4%, P < .001) and at 365 days (25.0% versus 28.3%, P < 0.001). Similarly, 14-day follow-up was associated with a decrease in the rate of repeated subsequent ED revisits (66.7 versus 77.3 revisits/100 child-years; P < 0.001). CONCLUSIONS: We found a protective association between outpatient 14-day follow-up and asthma-related ED revisits. This may reflect improved asthma control as providers follow the NHLBI guideline stepwise approach. Our findings highlight an opportunity for improvement, with only 22.6% of those with asthma-related ED visits having 14-day follow-up.

Weekend Versus Weekday Asthma-Related Emergency Department Utilization.

OBJECTIVE: To assess variation in asthma-related emergency department (ED) use between weekends and weekdays. METHODS: Cross-sectional administrative claims-based analysis using California 2016 Medicaid data and Vermont 2016 and Massachusetts 2015 all-payer claims databases. We defined ED use as the rate of asthma-related ED visits per 100 child-years. A weekend visit was a visit on Saturday or Sunday, based on date of ED visit claim. We used negative binomial regression and robust standard errors to assess variation between weekend and weekday rates, overall and by age group. RESULTS: We evaluated data from 398,537 patients with asthma. The asthma-related ED visit rate was slightly lower on weekends (weekend: 18.7 [95% confidence interval (CI): 18.3-19.0], weekday: 19.6 [95% CI, 19.3-19.8], P < .001). When stratifying by age group, 3- to 5-year-olds had higher rates of asthma-related ED visits on weekends than weekdays (weekend: 33.7 [95% CI, 32.6-34.7], weekday: 29.8 [95% CI, 29.1-30.5], P < .001) and 12- to 17-year-olds had lower rates of ED visits on weekends than weekdays (weekend: 13.0 [95% CI: 12.5-13.4], weekday: 16.3 [95% CI: 15.9-16.7], P < .001). In the other age groups (6-11, 18-21 years) there were not statistically significant differences between weekend and weekday rates (P > .05). CONCLUSIONS: In this multistate analysis of children with asthma, we found limited overall variation in pediatric asthma-related ED utilization on weekends versus weekdays. These findings suggest that increasing access options during the weekend may not necessarily decrease asthma-related ED use.

Assessing the Relationship Between Well-Care Visit and Emergency Department Utilization Among Adolescents and Young Adults.

PURPOSE: To investigate the association between adolescent and young adult (AYA) well-care visits and emergency department (ED) utilization. METHODS: Vermont's all-payer claims data were used to evaluate visits for 49,089 AYAs (aged 12-21 years) with a health-care claim from January 1 through December 31, 2018. We performed multiple logistic regression analyses to determine the association between well-care visits and ED utilization, investigating potential moderating effects of age, insurance type, and medical complexity. RESULTS: Nearly half (49%) of AYAs who engaged with the health-care system did not attend a well-care visit in 2018. AYAs who did not attend a well-care visit had 24% greater odds (95% confidence interval [CI]: 1.19-1.30) of going to the ED at least once in 2018, controlling for age, sex, insurance type, and medical complexity. Older age, female sex, Medicaid insurance, and greater medical complexity independently predicted greater ED utilization in the adjusted model. In stratified analyses, late adolescents and young adults (aged 18-21 years) who did not attend a well-care visit had 47% greater odds (95% CI: 1.37 - 1.58) of ED visits, middle adolescents (aged 15-17 years) had 9% greater odds (95% CI: 1.01-1.18), and early adolescents (aged 12-14 years) had 16% greater odds (95% CI: 1.06 - 1.26). CONCLUSIONS: Not attending well-care visits is associated with greater ED utilization among AYAs engaged in health care. Focus on key quality performance metrics such as well-care visit attendance, especially for 18- to 21-year-olds during their transition to adult health care, may help reduce ED utilization.

Opioid use disorder treatment in rural settings: The primary care perspective.

Despite the efficacy of medications for treating opioid use disorder (OUD), they are underutilized, especially in rural areas. Our objectives were to determine the association between primary care practitioners (PCPs) rurality and concerns for patient substance use, and to identify factors associated with PCP comfort treating OUD, focusing on barriers to treatment. We developed a web-based survey completed by 116 adult-serving PCPs located in Vermont's rural and non-rural counties between April-August 2020. The instrument included PCP-identified concerns for substance use among patients, barriers to treating patients with OUD, and current level of comfort treating patients with OUD. On a scale from 0 to 10, rural PCPs reported higher concern for heroin (mean difference; Mdiff = 1.38, 95% CI: 0.13 to 2.63), fentanyl (Mdiff = 1.52, 95% CI: 0.29 to 2.74), and methamphetamine (Mdiff = 1.61, 95% CI: 0.33 to 2.90) use among patients compared to non-rural PCPs, and practitioners in both settings expressed high concern regarding their patients' use of tobacco (7.6 out of 10) and alcohol (7.0 out of 10). There was no difference in reported comfort in treating patients with OUD among rural vs. non-rural PCPs (Mdiff = 0.65, 95%CI: 0.17 to 1.46; P = 0.119), controlling for higher comfort among male PCPs and those waivered to prescribe buprenorphine (Ps < 0.05). Lack of training/experience and medication diversion were PCP-identified barriers associated with less comfort treating OUD patients, while time constraints was associated with more comfort (Ps < 0.05). Taken together, these data highlight important areas for dissemination of evidence-based training, support, and resources to expand OUD treatment capacity in rural communities.

Prescription opioid policies and associations with opioid overdose and related adverse effects.

BACKGROUND: United States (US) policies to mitigate the opioid epidemic focus on reducing access to prescription opioids to prevent overdoses. We examined the impact of state policies in Vermont (July 2017) and Maine (July 2016) on opioid overdoses and opioid-related adverse effects. METHODS: Study population included patients 15 years and older in all-payer claims of Vermont (N = 597,683; Jan.2016-Dec.2018) and Maine (N = 1,370,960; Oct.2015-Dec.2017). We used interrupted time series analyses to assess the impact of opioid prescribing policies on monthly opioid overdose rate and opioid-related adverse effects rate. We used the International Classification of Disease-10-CM to identify overdoses (T40.0 × 1-T40.4 × 4, T40.601-T40.604, T40.691-T40.694) and adverse effects (T40.0 × 5, T40.2 × 5-T40.4 × 5, T40.605, T40.695). RESULTS: Immediately after the policy, the level of Vermont's opioid overdose rate increased by 34% (95% confidence interval, CI: 1.09, 1.65) while the level of opioid-related adverse effects rate decreased by 29% (95% CI: 0.58, 0.87). In Maine, there was no level change in opioid overdose rate, but the slope of the adverse effects rate after the policy decreased by 3.5% (95% CI: 0.94, 0.99). These results varied within age and rurality subgroups in both states. CONCLUSION: While the decrease in rate of adverse effects following the policy changes is promising, the increase in Vermont's opioid overdose rate may suggest there is an association between policy implementation and short-term risk to public health.

Influence of Opioid Prescription Policy on Overdoses and Related Adverse Effects in a Primary Care Population.

BACKGROUND: In response to the opioid epidemic, many states have enacted policies limiting opioid prescriptions. There is a paucity of evidence of the impact of opioid prescribing interventions in primary care populations, including whether unintended consequences arise from limiting the availability of prescribed opioids. OBJECTIVE: Our aim was to compare changes in opioid overdose and related adverse effects rate among primary care patients following the implementation of state-level prescribing policies. DESIGN: A cohort of primary care patients within an interrupted time series model. PARTICIPANTS: Electronic medical record data for 62,776 adult (18+ years) primary care patients from a major medical center in Vermont from January 1, 2016, to June 30, 2018. INTERVENTIONS: State-level opioid prescription policy changes limiting dose and duration. MAIN MEASURES: Changes in (1) opioid overdose rate and (2) opioid-related adverse effects rate per 100,000 person-months following the July 1, 2017, prescription policy change. KEY RESULTS: Among primary care patients, there was no change in opioid overdose rate following implementation of the prescribing policy (incidence rate ratio; IRR: 0.64, 95% confidence interval; CI: 0.22-1.88). There was a 78% decrease in the opioid-related adverse effects rate following the prescribing policy (IRR: 0.22, 95%CI: 0.09-0.51). This association was moderated by opioid prescription history, with decreases observed among opioid-naïve patients (IRR: 0.18, 95%CI: 0.06-0.59) and among patients receiving chronic opioid prescriptions (IRR: 0.17, 95%CI: 0.03-0.99), but not among those with intermittent opioid prescriptions (IRR: 0.51, 95%CI: 0.09-2.82). CONCLUSIONS: Limiting prescription opioids did not change the opioid overdose rate among primary care patients, but it reduced the rate of opioid-related adverse effects in the year following the state-level policy change, particularly among patients with chronic opioid prescription history and opioid-naïve patients. Limiting the quantity and duration of opioid prescriptions may have beneficial effects among primary care patients.

A primary care learning collaborative to improve office systems and clinical management of pediatric asthma.

OBJECTIVE: Pediatric asthma is a common, relapsing-remitting, chronic inflammatory airway disease that when uncontrolled often leads to substantial patient and health care system burden. Improving management of asthma in primary care can help patients stay well controlled. METHODS: The Vermont Child Health Improvement Program (VCHIP) developed a quality improvement (QI) learning collaborative with a primary objective to improve clinical asthma management measures through improvement in primary care office systems to support asthma care. Seven months of medical record review data were evaluated for improvements on eight clinical asthma management measures. Pre and post office systems inventory (OSI) self-assessments detailing adherence to improvement strategies were analyzed for improvement. Logistic regressions were used to test for associations between OSI strategy post scores and the corresponding clinical asthma management measures by month seven. RESULTS: This study found significant improvement from baseline to month seven on seven of the eight clinical asthma management measures and between pre and post OSI for seven of the nine strategies assessed (N = 19 practices). Additionally, one point higher average OSI scores on the assessment and monitoring of asthma severity, asthma control, asthma action plans, and asthma education strategies were associated with significantly greater odds of improvement in their respective clinical asthma management measures. CONCLUSIONS: A QI learning collaborative approach in primary care can improve office systems and corresponding clinical management measures for pediatric patients with asthma. This suggests that linking specific office systems strategies to clinical measures may be a helpful tactic within the learning collaborative model.

The Strengths and Difficulties Questionnaire as a Mental Health Screening Tool for Newly Arrived Pediatric Refugees.

Many refugee children have exposure to trauma prior to arrival and during resettlement. Mental health screening in primary care among resettled refugee children is needed. The Strengths and Difficulties Questionnaire (SDQ) was used to screen refugee children age 4-18 years at their Domestic Medical Examination and three other primary care visits in their first year of resettlement. We tested the association between time and SDQ score or intervention/referral, and differences based on geographic origin. SDQ scores were highest upon arrival (Ps < .0005). Referrals were most common at the six-month visit compared to arrival and one month (Ps < .01). Iraqi children had higher SDQ scores at all visits (Ps < .03). The SDQ can be used in primary care to screen newly arrived refugee children. Practitioners should screen at arrival to identify difficulties. Those with difficulties continuing at six months may need an intervention or referral.

Statewide Asthma Learning Collaborative Participation and Asthma-Related Emergency Department Use.

BACKGROUND: Quality improvement (QI) efforts can improve guideline-recommended asthma care processes in the pediatric office setting. We sought to assess whether practice participation in an asthma QI collaborative was associated with decreased asthma-related emergency department (ED) visits. METHODS: A statewide network of practices participated in a pediatric asthma QI collaborative from 2015 to 2016. We evaluated asthma-related ED visit rates per 100 child-years for children ages 3 to 21 years with asthma, using the state's all-payer claims database. We used a difference-in-differences approach, with mixed-effects negative binomial regression models to control for practice and patient covariates. Our main analysis measured the outcome before (2014) and after (2017) the QI collaborative at fully participating and control practices. Additional analyses assessed (1) associations during the intervention period (2016) and (2) associations including practices partially participating in QI collaborative activities. RESULTS: In the postintervention year (2017), participating practices' (n = 20) asthma-related ED visit rate decreased by 5.8 per 100 child-years, compared to an increase of 1.8 per 100 child-years for control practices (n = 15; difference in differences = -7.3; P = .002). Within the intervention year (2016), we found no statistically significant differences in asthma-related ED visit rates compared to controls (difference in differences = -4.3; P = .17). The analysis including partially participating practices yielded similar results and inferences to our main analysis. CONCLUSIONS: Participation in an asthma-focused QI collaborative was associated with decreased asthma-related ED visit rates. For those considering implementing this type of QI collaborative, our findings indicate that it takes time to see measurable improvements in ED visit rates. Further study is warranted regarding QI elements contributing to success for partial participants.

Trauma among Kenyan School Children in Urban and Rural Settings: PTSD Prevalence and Correlates.

This study estimated the prevalence and correlates of PTSD in Kenyan school children during a period of widespread post-election violence. The UCLA PTSD Reaction Index was administered to 2482 primary and secondary school students ages 11-17 from rural and urban communities. A high proportion of school children had witnessed people being shot at, beat up or killed (46.9%) or had heard about the violent death or serious injury of a loved one (42.0%). Over one quarter (26.8%, 95% CI = 25.1% - 28.7%) met criteria for PTSD. Correlates of PTSD included living in a rural (vs urban) area (AOR = 1.72, 95% CI = 1.41-2.11), attending primary (vs secondary) school (AOR = 2.25, 95% CI = 1.67-3.04) and being a girl (with girl as referent AOR = .70, 95% CI = .57-.86). We recommend training Kenyan teachers to recognize signs of emotional distress in school children and psychosocial counselors to adapt empirically-supported mental health interventions for delivery in primary and secondary school settings.

A randomized clinical trial of mobile phone motivational interviewing for alcohol use problems in Kenya.

AIM: To test the effectiveness of a motivational interviewing (MI) intervention using the mobile phone among adults with alcohol use problems. DESIGN: A randomized clinical trial of mobile MI and standard in-person MI with 1- and 6-month follow-up, including a 1-month waitlist control followed by mobile MI. SETTING: A primary health center in rural Kenya. PARTICIPANTS: Three hundred adults screening positive for alcohol use problems were randomized and received immediate mobile MI (n = 89), in-person MI (n = 65) or delayed mobile MI (n = 76) for waiting-list controls 1 month after no treatment, with 70 unable to be reached for intervention. INTERVENTION AND COMPARATOR: One MI session was provided either immediately by mobile phone, in-person at the health center or delayed by 1 month and then provided by mobile phone. MEASUREMENTS: Alcohol use problems were repeatedly assessed using the Alcohol Use Disorder Identification Test (AUDIT) and the shorter AUDIT-C. The primary outcome was difference in alcohol score 1 month after no intervention for waiting-list control versus 1 month after MI for mobile MI. The secondary outcomes were difference in alcohol score for in-person MI versus mobile MI one and 6 months after MI. FINDINGS: For our primary outcome, average AUDIT-C scores were nearly three points higher (difference = 2.88, 95% confidence interval = 2.11, 3.66) for waiting-list controls after 1 month of no intervention versus mobile MI 1 month after intervention. Results for secondary outcomes supported the null hypothesis of no difference between in-person and mobile MI at 1 month (Bayes factor = 0.22), but were inconclusive at 6 months (Bayes factor = 0.41). CONCLUSION: Mobile phone-based motivational interviewing may be an effective treatment for alcohol use problems among adults visiting primary care in Kenya. Providing mobile motivational interviewing may help clinicians in rural areas to reach patients needing treatment for alcohol use problems.

Change in Site of Children's Primary Care: A Longitudinal Population-Based Analysis.

PURPOSE: Evidence that fewer children are being seen at family physician (FP) practices has not been confirmed using population-level data. This study examines the proportion of children seen at FP and pediatrician practices over time and the influence of patient demographics and rurality on this trend. METHODS: We conducted a retrospective longitudinal analysis of Vermont all-payer claims (2009-2016) for children aged 0 to 21 years. The sample included 184,794 children with 2 or more claims over 8 years. Generalized estimating equations modeled the outcome of child attribution to a FP practice annually, with covariates for calendar year, child age, sex, insurance, and child Rural Urban Commuting Area (RUCA) category. RESULTS: Over time, controlling for other covariates, children were 5% less likely to be attributed to a FP practice (P <.001). Children had greater odds of attribution to a FP practice as they aged (odds ratio (OR) = 1.11, 95% CI, 1.10-1.11), if they were female (OR = 1.05, 95% CI, 1.03-1.07) or had Medicaid (OR = 1.09, 95% CI, 1.07-1.10). Compared with urban children, those from large rural cities (OR = 1.54, 95% CI, 1.51-1.57), small rural towns (OR = 1.45, 95% CI, 1.42-1.48), or isolated/small rural towns (OR = 1.96, 95% CI, 1.93-2.00) had greater odds of FP attribution. When stratified by RUCA, however, children had 3% lower odds of attending a FP practice in urban areas and 8% lower odds in isolated/small rural towns. CONCLUSIONS: The declining proportion of children attending FP practices, confirmed in this population-based analysis and more pronounced in rural areas, represents a continuing challenge.

Improving Adolescent Depression Screening in Pediatric Primary Care.

OBJECTIVE: Depression among adolescents is a leading public health problem. Although screening for adolescent depression in primary care is strongly recommended, screening rates remain low. Effective quality improvement (QI) initiatives can facilitate change. This study aims to assess the impact of a QI learning collaborative on adolescent depression screening and initial plans of care in primary care. METHODS: Seventeen pediatric-serving practices in Vermont participated in a QI learning collaborative aimed at improving practitioner knowledge and office systems around adolescent depression screening. Monthly medical record reviews provided monitoring of adolescent depression screening and initial plans of care over 7 months for QI. Randomly sampled annual medical record review data allowed comparison of screening and initial plans of care after the QI learning collaborative between participating and 21 control practices. RESULTS: As practices improved their office systems around adolescent depression screening and initial plans of care, data showed marked improvement in depression screening at all 17 practices, from 34% to 97% over 7 months. Adolescents at participating practices had 3.5 times greater odds (95% confidence interval [CI], 1.14-10.98, P = .03) of being screened for depression and 37.5 times greater odds (95% CI, 7.67-183.48, P < .0005) of being screened with a validated tool than adolescents at control practices, accounting for patient characteristics. CONCLUSIONS: There were significant within practice increases in adolescent depression screening after a QI learning collaborative, as well as in comparison with control practices 1 year later.

Utilization Outcomes of a Pilot Primary Care Team Redesign.

OBJECTIVES: To evaluate the effect of a team-based primary care redesign on primary care, emergency department (ED) and urgent care (UC) utilization, and new patient access to primary care. STUDY DESIGN: A retrospective pre-post difference-in-differences analysis of utilization outcomes for patients on a redesigned primary care team compared to a standard primary care group. METHODS: Within a patient-centered medical home, a pilot team was developed comprising 2 colocated "teamlets" of 1 physician, 1 nurse practitioner (NP), 1 registered nurse (RN), and 2 licensed practical nurses (LPNs). The redesigned team utilized physician-NP comanagement, expanded roles for RNs and LPNs, and dedicated provider time for telephone and e-mail medicine. We compared changes in number of office, ED, and UC visits during the implementation year for patients on the redesigned team compared to patients receiving the standard of care in the same clinic. Proportion of new patient visits was also compared between the pilot and the control groups. RESULTS: There were no differences between the redesign group and control group in per-patient mean change in office visits (Δ = -0.04 visits vs Δ = -0.07; P = .98), ED visits (Δ = 0.00 vs Δ = 0.01; P = .25), or UC visits (Δ = 0.00 vs Δ = 0.05; P = .08). Proportion of new patient visits was higher in the pilot group during the intervention year compared to the control group (6.6% vs 3.9%; P < .0001). CONCLUSIONS: The redesign did not significantly impact ED, UC, or primary care utilization within 1 year of follow-up. It did improve access for new patients.