Examining differences in time to appointment and no-show rates between rural telehealth users and non-users.

Background: Telehealth has undergone widespread implementation since 2020 and is considered an invaluable tool to improve access to healthcare, particularly in rural areas. However, telehealth's applicability may be limited for certain populations including those who live in rural, medically underserved communities. While broadband access is a recognized barrier, other important factors including age and education influence a person's ability or preference to engage with telehealth via video telehealth or a patient portal. It remains unclear the degree to which these digital technologies lead to disparities in access to care. Purpose: The purpose of this analysis is to determine if access to healthcare differs for telehealth users compared with non-users. Methods: Using electronic health record data, we evaluated differences in "time to appointment" and "no-show rates" between telehealth users and non-users within an integrated healthcare network between August 2021 and January 2022. We limited analysis to patient visits in endocrinology or outpatient behavioral health departments. We analyzed new patients and established patients separately. Results: Telehealth visits were associated with shorter time to appointment for new and established patients in endocrinology and established patients in behavioral health, as well as with lower no-show rates for established patients in both departments. Conclusions: The findings suggest that those who are unwilling or unable to engage with telehealth may have more difficulty accessing timely care.

Exploring Multiple Dimensions of Access to and Preferences for Telehealth Use.

Introduction: During the pandemic, telehealth became critically important in care provision. Yet, research exposed the inequities facing various groups of people in terms of accessing telehealth. The purpose of this analysis was to examine the various dimensions of access that impact a person's ability to use and preference for telehealth. Methods: We used a mixed-methods approach framed by Levesque's Access to Health care model. In August, 2021, a stratified random sample of 500 patients of an integrated rural health care network was invited to participate in a survey designed to capture familiarity with, use of, and preference for digital technologies in general as well as with telehealth. In addition, key informant interviews were conducted between January 2022 and June 2022. Results: Patients' willingness to use telehealth was influenced by multiple dimensions of access, including approachability of the resource, acceptability, availability, affordability, and appropriateness. Clinician beliefs and attitudes as well as health care system policies affected how a patient perceived, sought, reached, and engaged with telehealth. Conclusions: Access is a dynamic, multifaceted concept that is influenced by individual-, organization-, and systemic-level factors. Looking beyond patient determinants and examining different dimensions of access is important to better facilitate implementation and sustainment of telehealth.

Trends in telehealth use among a cohort of rural patients during the COVID-19 pandemic.

Objective: Rural populations faced unique challenges to healthcare access during the COVID-19 pandemic. This analysis assesses trends in digital health technology use at the onset of the pandemic and describes digital health behaviors among a cohort of patients within a rural integrated healthcare network throughout the first 3 years of the pandemic. Methods: We used data from both the electronic health record (EHR) and a patient survey. EHR data was used to longitudinally assess change over time in patient portal use and telehealth visits. Survey responses were used to provide additional context. Results: Telehealth appointments peaked in the first quarter of 2020 at 28% of all office visits, before leveling off to 8-10% in 2022. Women and those younger than 65 were more likely to have participated in telehealth appointments. Active patient portal users increased from 34.1% in January 2019 to 63.7% in January 2022. There were no differences noted in portal use trends based on rurality. Conclusions: Our findings corroborate previous research, as well as add context regarding digital health technology use throughout the COVID pandemic in a rural patient population. Future research must focus on understanding constraints to digital health expansion in order to continue providing safe, equitable care.

Factors associated with injury among Maine logging workers.

INTRODUCTION: Despite dramatic improvements in safety, logging remains one of the most dangerous industries in the United States. The purpose of this study was to explore longitudinal injury trends among Maine logging workers. METHODS: Loggers participated in seven quarterly surveys, over the course of 18 months. Categorical and free text data related to traumatic and acute injury, musculoskeletal disorders (MSD), and chronic pain were exported from REDCap into SAS 9.4, Excel, and NVivo, for quantitative and qualitative analysis, respectively. Time to injury was modeled using two different approaches: (1) time to the occurrence of first injury modeled by proportional hazard regression and (2) an intensity model for injury frequency. Two research team members also analyzed qualitative data using a content analysis approach. RESULTS: During the study, 204 injuries were reported. Of the 154 participants, 93 (60.4%) reported musculoskeletal pain on at least one survey. The majority of injuries were traumatic, including fractures, sprains, and strains. Lack of health insurance was found to be related to increased risk of first injury [HR = 1.41, 95% CI = 0.97-2.04, p = 0.069]. Variables found to be related to injury intensity at the univariate level were: (1) a lack of health insurance [HR = 1.51, 95% CI = 1.04-2.20, p = 0.030], (2) age [HR for 10-year age increase;= 1.12, 95% CI = 0.99-1.27, p = 0.082], and (3) years employed in logging industry [HR for 10-year increase = 1.12, 95% CI = 0.99-1.26, p = 0.052]. Seeking medical attention for injury was not a priority for this cohort, and narratives revealed a trend for self-assessment. A variety of barriers, including finances, prevented loggers from seeking medical attention. DISCUSSION: We found that loggers still experience serious, and sometimes disabling, injuries associated with their work. It was unsurprising that many injuries were due to slips, trips, and falls, along with contact with logging equipment and trees/logs. The narratives revealed various obstacles preventing loggers from achieving optimal health. Examples included geographic distance from healthcare, lack of time to access care, and entrenched values that prioritized independence and traditional masculinity. Financial considerations were also consistently cited as a primary barrier to adequate care. CONCLUSION: There is a continued need to emphasize occupational health and safety in the logging industry. Implementation of relevant safety programs is key, but it is likely that the benefits of these will not be fully realized until a cultural shift takes place within this industry.

Remote delivery of self-management education workshops for adults with chronic pain, 2020-2021.

OBJECTIVES: We intended to assess changes in pain-related outcomes among rural adults who completed 6-week self-management programs offered remotely during the COVID-19 pandemic. METHODS: We offered the Chronic Pain Self-Management Program and Chronic Disease Self-Management Program between May 2020 and December 2021. Delivery mode options included 2½-hour weekly videoconference, mailed toolkit plus 1-hour weekly conference call, and mailed toolkit alone. We conducted pre- and post-workshop surveys including questions on patient activation, self-efficacy, depression and pain disability. We used paired t-tests to compare pre-post differences in outcomes among participants completing 4 or more sessions. RESULTS: Among 218 adults reporting chronic pain, mean age was 57; 83.6% were female; and 49.5% participated via videoconference, 23.4% by phone and 27.1% via mailed toolkit alone. Completion rates were higher among phone (88.2%) versus videoconference (60.2%) workshop participants. Among completers, patient activation (mean change = 3.61, p = 0.01) and self-efficacy (mean change = 3.72, p < 0.0001) increased while depression scores (mean change = -1.03, p = 0.01), pain disability (mean change = -0.93, p = 0.003) and pain symptoms (mean change = -0.61, p = 0.001) decreased over the 6-week period. DISCUSSION: Self-management programs offered remotely during the pandemic were successful in improving patient activation, self-efficacy, depression, pain disability, and pain symptoms among rural adults experiencing chronic pain.

Determinants of Telehealth Technologies in a Rural Population.

Background: Telehealth's applicability may be limited for vulnerable populations including rural communities. While broadband access is a known barrier to telehealth use, other factors may influence a person's ability or preference to use telehealth. Objective/Purpose: To compare characteristics of telehealth users versus nontelehealth users in a rural health care network. Methods: We surveyed a stratified random sample of 500 adult patients in August 2021 about telehealth use. We used descriptive statistics to compare characteristics of telehealth users with nontelehealth users. Telehealth was defined in three different ways as follows: (1) phone or video visit, (2) video visit, and (3) patient portal use. Results: Mean age of the 206 respondents was 60 years, 60.7% were female, 60.4% had some college education; 84.9% had home internet, and 73.3% used the internet independently. Video telehealth use was independently associated with younger age (<65), having some college education, being married/partnered, and being enrolled in Medicaid. When telehealth included a phone option, disability was positively associated with telehealth use, and living in a rural town versus metropolitan/micropolitan area was negatively associated with telehealth use. Being younger, married/partnered, and having some college education were significantly associated with patient portal use. Conclusion: Videoconferencing and patient portal use pose barriers to those who are older and have less education. However, these barriers disappear when telehealth is available through telephone.

Ensuring data quality and maximizing efficiency in coding agricultural and forestry injuries: Lessons to improve occupational injury surveillance.

INTRODUCTION: Specialized occupational injury surveillance systems are filling the gap in the undercount of work-related injuries in industries such as agriculture and forestry. To ensure data quality and maximize efficiency in the operation of a regional occupational injury surveillance system, the need for continued dual coding of occupational injury records was assessed. METHODS: Kappa scores and percent agreement were used to compare interrater reliability for assigned variables in 1,259 agricultural and forestry injuries identified in pre-hospital care reports. The variables used for the comparison included type of event, source of injury, nature of injury, part of body, injury location, intentionality, and farm and agriculture injury classification (FAIC). RESULTS: Kappa (κ) ranged from 0.2605 for secondary source to 0.8494 for event and exposure. Individual coder accuracy ranged from medium to high levels of agreement. Agreement beyond the first digit of OIICS coding was measured in percent agreement, and type of event or exposure, body part, and primary source of injury continued to meet levels of accord reaching 70% or greater agreement between all coders and the final choice, even to the most detailed 4th digit of OIICS. CONCLUSIONS: This research supports evidence-based decision making in customizing an occupational injury surveillance system, ultimately making it less costly while maintaining data quality. We foresee these methods being applicable to any surveillance system where visual inspection and human decisions are levied. PRACTICAL APPLICATIONS: Assessing the rigor of occupational injury record coding provides critical information to tailor surveillance protocols, especially those targeted to make the system less costly. System administrators should consider evaluating the quality of coding, especially when dealing with free-text narratives before deciding on single coder protocols. Further, quality checks should remain a part of the system going forward.

Impact of pet dog or cat exposure during childhood on mental illness during adolescence: a cohort study.

BACKGROUND: In our prior study of 643 children, ages 4-11 years, children with pet dogs had lower anxiety scores than children without pet dogs. This follow-up study examines whether exposure to pet dogs or cats during childhood reduces the risk of adolescent mental health (MH) disorders. METHODS: Using a retrospective cohort study design, we merged our prior study database with electronic medical record (EMR) data to create an analytic database. Common MH diagnoses (anxiety, depression, ADHD) occurring from the time of prior study enrollment to 10/27/21 were identified using ICD-9 and ICD-10 codes. We used proportional hazards regression to compare time to MH diagnoses, between youths with and without pets. From 4/1/20 to 10/27/21, parents and youth in the prior study were interviewed about the amount of time the youth was exposed to a pet and how attached s/he was to the pet. Exposure included having a pet dog at baseline, cumulative exposure to a pet dog or cat during follow-up, and level of pet attachment. The main outcomes were anxiety diagnosis, any MH diagnosis, and MH diagnosis associated with a psychotropic prescription. RESULTS: EMR review identified 571 youths with mean age of 14 years (range 11-19), 53% were male, 58% had a pet dog at baseline. During follow-up (mean of 7.8 years), 191 children received a MH diagnosis: 99 were diagnosed with anxiety (52%), 61 with ADHD (32%), 21 with depression (11%), 10 with combined MH diagnoses (5%). After adjusting for significant confounders, having a pet dog at baseline was associated with lower risk of any MH diagnosis (HR = 0.74, p = .04) but not for anxiety or MH diagnosis with a psychotropic prescription. Among the 241 (42%) youths contacted for follow-up, parent-reported cumulative exposure to pet dogs was borderline negatively associated with occurrence of any MH diagnosis (HR = 0.74, p = .06). Cumulative exposure to the most attached pet (dog or cat) was negatively associated with anxiety diagnosis (HR = 0.57, p = .006) and any MH diagnosis (HR = 0.64, p = .013). CONCLUSION: Cumulative exposure to a highly attached pet dog or cat is associated with reduced risk of adolescent MH disorders.

Prescribing Patterns for Long-Acting Inhaled Bronchodilators Among Rural Adults With Chronic Obstructive Pulmonary Disease.

Background: Chronic obstructive pulmonary disease (COPD) is prevalent in rural areas of the USA. Long-acting inhaled bronchodilators (LABDs) are a key tool in COPD management and are underutilized. The purpose of this study was to determine whether rates of prescriptions for LABD differed by payer among patients with COPD in a rural healthcare network. Methods: In analysis 1, a random sample of patients with spirometry- and symptom-confirmed COPD over April 1, 2017 to December 31, 2019 was identified. Patient characteristics, including payer status, extracted from medical records were compared for those who did and did not have any prescriptions for LABD during the study window. In analysis 2, patients with one or more COPD-related hospitalizations during the same time period were identified and similar comparisons were made by LABD prescription status. Results: Among a random sample of patients with spirometry-confirmed COPD, 93.0% had been prescribed LABD during the study window with no difference in proportion by payer. Among the 461 patients with a COPD-related hospitalization, 388 (84.2%) had been prescribed LABD, again with no difference in prescriptions by payer. Those with a COPD-related hospitalization who had been prescribed LABD were younger, had lower body mass index, were more likely to be current smokers and had higher rates of hospitalizations for COPD during the study period than those not prescribed LABD. Conclusion: While disparities in LABD utilization may occur due to cost or other barriers to filling prescriptions, in our study, prescriptions for LABD were common and did not differ by payer status.

Evaluation of a Peer Led Chronic Pain Self-Management Program in a Rural Population.

BACKGROUND: The Chronic Pain Self-Management Program is an evidence-based intervention that has been shown to be efficacious in reducing symptoms of chronic pain. However, there is a paucity of research examining CPSMP in a predominantly rural population. The purpose was to evaluate patient-reported outcomes of in-person peer-led CPSMP workshops offered in a rural region in 2018 and 2019. METHODS: Participants were surveyed at baseline and 6 months post-workshop. Descriptive statistics were used to describe characteristics of CPSMP completers. Paired t-tests were used to analyze change in depression score (PHQ-8), disability (modified Roland-Morris Disability Questionnaire), self-efficacy, and patient activation (PAM-10). Analysis of variance was used to detect differences over time by age group, education, insurance type, self-rated health, and comorbidities. RESULTS: Among the 327 adults who enrolled in a workshop, 73.1% completed. Of completers, 74.9% were female, average age was 65. Significant improvements were observed in pain disability (P = .0008), patient activation (P = .0362), depression (P < .0001), and self-efficacy (P < .0001), at 6 weeks; and pain disability (P = .0030), depression (P = .0015), and self-efficacy (P = .0064) at 6 months post-program. Individuals who rated their health as fair/poor at baseline reported greater improvements in depression scores than individuals who rated their health as good or better (P < .0002). There were also distinct patterns of change in pain disability among the different age groups. No other differences between groups were noted. CONCLUSIONS: The CPSMP appears to improve pain self-efficacy, disability, and depression regardless of age, gender, insurance status, education, or comorbidities. Healthcare and community organizations should consider investing in and offering chronic pain workshops in rural areas in order to promote health and wellness.

Comparison of antibody response durability of mRNA-1273, BNT162b2, and Ad26.COV2.S SARS-CoV-2 vaccines in healthcare workers.

OBJECTIVES: There are limited comparative immunologic durability data post COVID-19 vaccinations. METHODS: Approximately 8.4 months after primary COVID-19 vaccination, 647 healthcare workers completed surveys about COVID-19 vaccinations/infections and blood draws. The groups included participants vaccinated with mRNA-1273 (n = 387), BNT162b2 (n = 212), or Ad26.COV2.S (n = 10) vaccines; unvaccinated participants (n = 10); and participants who received a booster dose (n = 28). The primary outcome was immunoglobin anti-spike titer. Secondary/tertiary outcomes included neutralizing antibodies (enzyme-linked immunosorbent assay-based pseudoneutralization) and vaccine effectiveness (VE). Antibody levels were compared using analysis of variance and linear regression. RESULTS: Mean age was 49.7 and 75.3% of the participants were female. Baseline variables were balanced except for immunosuppression, previous COVID-19 infection, and post-primary vaccination time. Unadjusted median (interquartile range [IQR]) anti-spike titers (AU/ml) were 1539.5 (876.7-2626.7) for mRNA-1273, 751.2 (422.0-1381.5) for BNT162b2, 451.6 (103.0-2396.7) for Ad26.COV2.S, 113.4 (3.7-194.0) for unvaccinated participants, and 31898.8 (21347.1-45820.1) for participants administered with booster dose (mRNA-1273 vs BNT162b2, P <.001; mRNA-1273, BNT162b2, or boosted vs unvaccinated, P <.006; mRNA-1273, BNT162b2, Ad26.COV2.S, or unvaccinated vs boosted, P <.001). Unadjusted median (IQR) pseudoneutralization was as follows: 90.9% (80.1-95.0) for mRNA-1273, 77.2% (59.1-89.9) for BNT162b2, 57.9% (36.6-95.8) for Ad26.COV2.S, 40.1% (21.7-60.6) for unvaccinated, and 96.4% (96.1-96.6) for participants administered with booster dose (mRNA-1273 vs BNT162b2, P <.001; mRNA-1273, BNT162b2, or boosted vs unvaccinated, P <.028; mRNA-1273, BNT162b2, Ad26.COV2.S, or unvaccinated vs boosted, P <.001). VE was 87-89% for participants administered mRNA-1273 vaccine, BNT162b2 vaccine, and booster dose, and 33% for Ad26.COV2.S (none significantly different). CONCLUSION: Antibody responses 8.4 months after primary vaccination were significantly higher with mRNA-1273 than those observed with BNT162b2.

Loneliness Among Rural Self-Management Education Program Enrollees During the COVID-19 Pandemic.

PURPOSE: Pandemic-related isolation may exacerbate loneliness among rural adults; we sought to characterize loneliness and associated factors among rural adults during the COVID-19 pandemic. DESIGN: Cross-sectional observational study. SETTING: Remotely delivered self-management education (SME) workshops, rural upstate New York, May-December 2020. SUBJECTS: Rural SME workshop enrollees, aged 18+, n = 229. MEASURES: De Jong Gierveld 6-Item Loneliness Scale, sociodemographics, workshop type (chronic disease, chronic pain, diabetes), delivery mode (videoconference, phone, self-study); data collected via workshop process measures and enrollment surveys. ANALYSIS: Multivariable linear regression. RESULTS: Mean overall, emotional and social loneliness scores were 2.78 (SD = 1.91), 1.27 (SD = 1.02), and 1.52 (SD = 1.26). Being not married/partnered (ß = .61) and self-reported depression/anxiety (ß = .64) were associated with higher overall scores, and selection of videoconference (ß = -.77) and self-study (ß =-.85) modes with lower scores. Self-reported depression/anxiety (ß = .51) was associated with increased emotional loneliness. Being not married/not partnered (ß = .37) and selection of chronic pain workshops (ß = .64) was were associated with increased social loneliness. Selection of videoconference (ß = -.44) and self-study (ß = -.51) delivery modes were protective of social loneliness. CONCLUSION: In addition to marital status and depression/anxiety, experiencing chronic pain and selecting phone-based workshops were associated with higher degrees of loneliness among rural adults during the pandemic. The latter may be partly explained by insufficient internet access. Health educators should be prepared to address loneliness in rural areas during the pandemic.

Not Quite Out of the Woods: Overall Health and Chronic Disease Risk Factors among Maine Logging Workers.

OBJECTIVE: This research reports on the health status, including chronic disease risk factors, among Maine loggers. METHODS: Loggers completed a survey and health screenings were held across Maine, collecting data on a variety of health endpoints. RESULTS: Seventy-five loggers participated. The majority were men (97.1%) with a median age of 46, and a mean BMI of 30.6 kg/m2 (SD 4.9). Nearly half of those screened (45.9%) had blood pressure at the level of stage II hypertension. Loggers with at least a single joint abnormality were 38.4%. The health screening cohort was similar to the non-health screening cohort for many attributes. CONCLUSIONS: Future research should focus on tailored interventions to improve cardiovascular and musculoskeletal risk factors among loggers.

Tick magnets: The occupational risk of tick-borne disease exposure in forestry workers in New York.

BACKGROUND: Outdoor workers, such as forestry workers, are at an increased risk for contracting tick-borne diseases due to their prolonged time spent in tick habitats. Although well studied in Europe, no studies have been conducted with forestry workers in the Northeastern United States since 1990s. METHODS: Full-time forestry workers and two comparison groups (volunteer firefighter/first responders and indoor/healthcare workers) within New York State Department of Environmental Conservation Regions 3, 4, 5, 6, and 7 were recruited for this cross-sectional seroprevalence study. Blood draws were conducted to test for antibodies to Lyme, anaplasmosis, babesiosis, and ehrlichiosis. Surveys were administered to determine personal risk factors and protective behaviors. RESULTS: Between November 2020 and May 2021, 256 (105 forestry, 101 firefighter/first responder, and 50 indoor/healthcare) workers participated in this study. Forestry workers had a probability of testing positive nearly twice as high for any tick-borne disease (14%) compared to firefighter/first responders (8%) and to indoor workers (6%); however, this difference was not statistically significant (P = .140). Forestry workers were more likely to find embedded ticks on themselves (f = 33.26, P < .0001 vs both comparison groups) and to have been previously diagnosed with a tick-borne disease (P = .001 vs firefighter/first responders, P = .090 vs indoor/healthcare workers). CONCLUSIONS: This pilot study suggests a higher proportion of tick-borne disease risk among forestry workers compared to firefighters/first responders and indoor/healthcare workers with lesser exposure. A larger study to confirm or refute this pilot data could help optimize mitigation/prevention strategies.

Evaluating the Implementation of the Diabetes Self-Management Program in a Rural Population.

The evidence-based Diabetes Self-Management Program (DSMP) has been shown to improve a variety of health-related outcomes, but the program has been challenging to implement in rural areas, and rural dissemination has been low. The purpose of this project was to evaluate the effect of implementing the DSMP on self-reported outcomes in a rural region. Through a collaboration with multiple partners, the Living Well program delivered 28 DSMP workshops from 2017 to 2019. Data were collected to determine whether there were post-intervention changes in patient-reported outcomes on measures of diabetes distress, self-management, and patient activation. In addition, secondary analysis of A1C was abstracted from the medical records of participants with type 2 diabetes who completed at least four sessions of a DSMP workshop between 2017 and 2019 and whose medical records had an A1C value in the year before the program and at least one A1C value >3 months after the program. Statistically significant improvements were seen for the Diabetes Distress Scale (P = 0.0017), the Diabetes Self-Management Questionnaire (P <0.0001) and the 10-item Patient Activation Measure (P <0.0001). There was no evidence of change in A1C over time in analyses of all participants (P = 0.5875), but a consistent though nonsignificant (P = 0.1087) decline in A1C was seen for a subset of participants with a baseline A1C ≥8%. This evaluation provides preliminary support for implementing the DSMP as part of a comprehensive treatment and self-management plan for people living with diabetes in rural areas.

Recruitment and engagement in disease self-management programs: Special concerns for rural residents reporting depression and/or anxiety.

Chronic disease self-management education (CDSME) programs benefit individuals with chronic diseases, including mental health conditions, by improving health-related outcomes and increasing engagement with the health care system. Recruiting individuals with a history of mental health conditions to participate in CDSME is challenging, particularly in rural, underserved areas. Hence, it is important to understand factors associated with the presence of mental health conditions, and impacts of CDSME on patient engagement. This project identifies individual and program-level characteristics, as well as recruitment characteristics, associated with reporting a history of depression and/or anxiety. It also assesses factors related to program engagement and the relationship between completing CDSME and patient activation. Data were collected during CDSME workshops offered in 2019 in a rural region of New York. Of the 421 enrollees who completed survey instruments, 162 reported a history of depression and/or anxiety. Univariate analyses indicated that those reporting a history of depression and/or anxiety were younger, female, in poorer health, had more comorbidities, were Medicaid beneficiaries, and had lower patient activation scores. They also heard about and signed up for the workshop through the internet at higher rates than those not reporting a history of depression and/or anxiety. Multivariable logistic regression modeling indicated age, self-rated health, and number of comorbidities were independent predictors of reporting a history of depression and/or anxiety. Among CDSME completers, patient activation significantly improved regardless of history of depression and/or anxiety. Engaging individuals with mental health conditions in CDSME requires a multimodal recruitment strategy incorporating electronic marketing and registration.

Implementation of Evidence-Based Disease Self-Management Programs in a Rural Region: Leveraging and Linking Community and Health Care System Assets.

CONTEXT: Rural populations experience both a higher prevalence of and risk for premature death from chronic conditions than do their urban counterparts. Yet barriers to implement community-based chronic disease self-management programs persist. PROGRAM: The Living Well program, a multi-sector collaboration between a rural health care system and a network of community-based organizations, has offered the 6-week evidence-based Chronic Disease Self-Management and Diabetes Self-Management workshops since 2017. The program was a response to a quality improvement initiative to improve hypertension and diabetes outcomes throughout the health care system. IMPLEMENTATION: Using the rapid cycling quality improvement process, Living Well developed a self-management program recruitment, referral, and coordinating office for a six-county region. Through continuous capacity-building efforts with community partners, as well as leveraging key health care system assets such as the electronic health record and provider detailing, program reach and adoption was increased. EVALUATION: The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was used for the process evaluation. During 3 years, more than 750 individuals engaged with the program, with nearly 600 completing a workshop. The region saw increased engagement by primary care clinicians to refer, and structural changes were embedded into the health care system to facilitate clinic-community partnerships. DISCUSSION: A coordinated, multi-sector approach is necessary to develop solutions to complex, chronic health problems. A regional coordinating hub is an effective strategy for implementing community-based programs in rural areas. However, low health care system engagement and fragmented funding remain as barriers to optimal implementation.

Project ECHO and primary care buprenorphine treatment for opioid use disorder: Implementation and clinical outcomes.

Background: Our rural health system sought to (1) increase the number of primary care clinicians waivered to prescribe buprenorphine for treatment of opioid use disorder (OUD) and (2) consequently increase the number of our patients receiving this treatment. Methods: We used the Project for Extension for Community Health Outcomes (ECHO) tele-education model as an implementation strategy. We examined the number of clinicians newly waivered, the number of patients treated with buprenorphine, the relationship between clinician engagement with ECHO training and rates of buprenorphine prescribing, and treatment retention at 180 days. Results: The number of clinicians with a waiver and number of patients treated increased during and after ECHO training. There was a moderate correlation between the number of ECHO sessions attended by a clinician and number of their buprenorphine prescriptions (r = 0.50, p = 0.01). The 180-day retention rate was 80.7%. Conclusions: Project ECHO was highly effective for increasing access to this evidence-based treatment. The high retention rate in this rural context indicates that most patients are increasing their likelihood of favorable outcomes.

Full agonist opioid prescribing by primary care clinicians after buprenorphine training.

BACKGROUND: While primary care clinicians are being trained to use buprenorphine for the treatment of Opioid Use Disorder (OUD) in order to increase access to addiction treatment, it is not known what impact such training and subsequent experience treating patients with OUD has on full agonist opioid prescribing.Methods: This retrospective cohort study compares the full agonist opioid prescribing patterns of Drug Addiction Treatment Act (DATA)-waivered ("X-waivered") primary care clinicians to non-trained, non-waivered clinicians in a rural health network. X-waivered clinicians also received Project ECHO training and telementoring support for one year. Using prescriber data generated by an electronic medical record system, opioid prescribing and morphine milligram equivalents (MME) per day per patient were calculated. A between-group analysis was used to compare the study groups six months pre-versus post-training.Results: Although the mean number of full agonist opioid prescriptions per clinician and per 100 patient encounters decreased among all clinicians, there was no change in full agonist opioid prescribing MME. As expected, buprenorphine prescribing by X-waivered, trained clinicians increased significantly post-training.Conclusions: X-waivers plus Project ECHO support for the treatment of OUD using buprenorphine had no effect on full agonist opioid prescribing by primary care clinicians.

The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports.

PURPOSE: Current injury surveillance efforts in agriculture are considerably hampered by the limited quantity of occupation or industry data in current health records. This has impeded efforts to develop more accurate injury burden estimates and has negatively impacted the prioritization of workplace health and safety in state and federal public health efforts. This paper describes the development of a Naïve Bayes machine learning algorithm to identify occupational injuries in agriculture using existing administrative data, specifically in pre-hospital care reports (PCR). METHODS: A Naïve Bayes machine learning algorithm was trained on PCR datasets from 2008-2010 from Maine and New Hampshire and tested on newer data from those states between 2011 and 2016. Further analyses were devoted to establishing the generalizability of the model across various states and various years. Dual visual inspection was used to verify the records subset by the algorithm. RESULTS: The Naïve Bayes machine learning algorithm reduced the volume of cases that required visual inspection by 69.5 percent over a keyword search strategy alone. Coders identified 341 true agricultural injury records (Case class = 1) (Maine 2011-2016, New Hampshire 2011-2015). In addition, there were 581 (Case class = 2 or 3) that were suspected to be agricultural acute/traumatic events, but lacked the necessary detail to make a certain distinction. CONCLUSIONS: The application of the trained algorithm on newer data reduced the volume of records requiring visual inspection by two thirds over the previous keyword search strategy, making it a sustainable and cost-effective way to understand injury trends in agriculture.