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.

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.

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.

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.

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.

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.

Health and safety in the Maine woods: Assemblage and baseline characteristics of a longitudinal cohort of logging workers.

BACKGROUND: Logging remains one of the most hazardous industries in the United States, despite many safety improvements made in the last decades. Currently, we know little about regional trends in health conditions of logging workers, especially in the Northeast. However, the forest products industry is a critical component of the Northeast's economy, especially in the State of Maine. METHODS: This paper reports on the baseline data of a longitudinal cohort study involving Maine loggers, aimed to assess the health and safety of the industry. RESULTS: Three hundred twenty-five are included in these analyses, 246 mechanized loggers, and 79 conventional. On average mechanized loggers worked longer days (11.8 vs 9.7 hours) and had longer commutes from home to the woodlot (72.6 vs 40.7 minutes) than conventional loggers. For health factors, mechanized and conventional loggers had similar responses. Nearly two-thirds of both mechanized and conventional loggers had an annual physical in the previous year, and 36.3% had seen a health specialist during that same time period. The overall work-related injury and illness rate is 6.8 of 100 workers for this cohort. CONCLUSIONS: These factors contribute to a need to work with the community on transforming logging into a safer and healthier profession for the current workforce, as well as the workforce of the future. This study provides the basis for an appropriate intervention, in collaboration with the loggers and industry stakeholders, to improve the lives of these vital workers.

Accelerometers: Assessing their potential for measuring personal flotation device use on commercial fishing vessels.

BACKGROUND: Falls overboard are the most common cause of fatalities in commercial fishing. As a result, interventions aimed at increasing and measuring the use of personal flotation devices (PFDs) are a high priority. The focus of this study was to explore the use of accelerometers as a means for objectively measuring PFD use on lobster fishing vessels. METHODS: For participating vessels, researchers attached an accelerometer to a PFD worn by a crewmember and another to the vessel's wheelhouse. GoPro videos were also employed to record crewmember activities so these could be synchronized with accelerometer outputs. Accelerometer outputs included two distinct measures, the proportional integration mode (PIM) and zero crossing mode (ZCM). Data were fitted to various equations to identify the best method for predicting PFD use. RESULTS: Seven lobster fishing vessels participated in the trial. Data indicated that accelerometers could predict PFD use with a fairly high degree of accuracy. In particular, a logistic equation incorporating PIM values from the PFD and the absolute value of the difference between the PFD PIM readings and the PIM readings from the stationary accelerometer demonstrated the highest degree of accuracy, with correct classifications for 73.3% to 77.6% of the 10-second data intervals. Accuracy was highest when crew members were moving versus stationary. The predictive value of ZCM was comparatively limited. CONCLUSIONS: PIM accelerometer readings can be used to measure PFD use with a considerably high degree of accuracy, especially for sternmen who are moving regularly and have the highest risk for falling overboard.

Data processing and case identification in an agricultural and logging morbidity surveillance study: Trends over time.

BACKGROUND: Agriculture and logging are dangerous industries, and though data on fatal injury exists, less is known about non-fatal injury. Establishing a non-fatal injury surveillance system is a top priority. Pre-hospital care reports and hospitalization data were explored as a low-cost option for ongoing surveillance of occupational injury. METHODS: Using pre-hospital care report free-text and location codes, along with hospital ICD-9-CM external cause of injury codes, we created a surveillance system that tracked farm and logging injuries. RESULTS: In Maine and New Hampshire, 1585 injury events were identified (2008-2010). The incidence of injuries was 12.4/1000 for agricultural workers, compared to 10.4/1000 to 12.2/1000 for logging workers. CONCLUSIONS: These estimates are consistent with other recent estimates. This system is limited to traumatic injury for which medical treatment is administered, and is limited by the accuracy of coding and spelling. This system has the potential to be both sustainable and low cost.

Frequency of satisfaction and dissatisfaction with practice among rural-based, group-employed physicians and non-physician practitioners.

BACKGROUND: Widespread dissatisfaction among United States (U.S.) clinicians could endanger ongoing reforms. Practitioners in rural/underserved areas withstand stressors that are unique to or accentuated in those settings. Medical professionals employed by integrating delivery systems are often distressed by the cacophony of organizational change(s) that such consolidation portends. We investigated the factors associated with dis/satisfaction with rural practice among doctors/non-physician practitioners employed by an integrated healthcare delivery network serving 9 counties of upstate New York, during a time of organizational transition. METHODS: We linked administrative data about practice units with cross-sectional data from a self-administered multi-dimensional questionnaire that contained practitioner demographics plus valid scales assessing autonomy/relatedness needs, risk aversion, tolerance for uncertainty/ambiguity, meaningfulness of patient care, and workload. We targeted medical professionals on the institutional payroll for inclusion. We excluded those who retired, resigned or were fired during the study launch, plus members of the advisory board and research team. Fixed-effects beta regressions were performed to test univariate associations between each factor and the percent of time a provider was dis/satisfied. Factors that manifested significant fixed effects were entered into multivariate, inflated beta regression models of the proportion of time that practitioners were dis/satisfied, incorporating clustering by practice unit as a random effect. RESULTS: Of the 473 eligible participants. 308 (65.1 %) completed the questionnaire. 59.1 % of respondents were doctoral-level; 40.9 % mid-level practitioners. Practitioners with heavier workloads and/or greater uncertainty intolerance were less likely to enjoy top-quintile satisfaction; those deriving greater meaning from practice were more likely. Higher meaningfulness and gratified relational needs increased one's likelihood of being in the lowest quintile of dissatisfaction; heavier workload and greater intolerance of uncertainty reduced that likelihood. Practitioner demographics and most practice unit characteristics did not manifest any independent effect. CONCLUSIONS: Mutable factors, such as workload, work meaningfulness, relational needs, uncertainty/ambiguity tolerance, and risk-taking attitudes displayed the strongest association with practitioner satisfaction/dissatisfaction, independent of demographics and practice unit characteristics. Organizational efforts should be dedicated to a redesign of group-employment models, including more equitable division of clinical labor, building supportive peer networks, and uncertainty/risk tolerance coaching, to improve the quality of work life among rural practitioners.

Pet Dogs and Children's Health: Opportunities for Chronic Disease Prevention?

INTRODUCTION: Positive associations between having a pet dog and adult health outcomes have been documented; however, little evidence exists regarding the benefits of pet dogs for young children. This study investigates the hypothesis that pet dogs are positively associated with healthy weight and mental health among children. METHODS: This cross-sectional study accrued a consecutive sample of children over 18 months in a pediatric primary care setting. The study enrolled 643 children (mean age, 6.7 years); 96% were white, 45% were female, 56% were privately insured, and 58% had pet dogs in the home. Before an annual visit, parents of children aged 4 to 10 years completed the DartScreen, a comprehensive Web-based health risk screener administered using an electronic tablet. The screener domains were child body mass index (BMI), physical activity, screen time, mental health, and pet-related questions. RESULTS: Children with and children without pet dogs did not differ in BMI (P = .80), screen time of 2 hours or less (P = 0.99), or physical activity (P = .07). A lower percentage of children with dogs (12%) met the clinical cut-off value of Screen for Child Anxiety and Related Disorders (SCARED-5) of 3 or more, compared with children without dogs (21%, P = .002). The mean SCARED-5 score was lower among children with dogs (1.13) compared with children without dogs (1.40; P = .01). This relationship was retained in multivariate analysis after controlling for several covariates. CONCLUSIONS: Having a pet dog in the home was associated with a decreased probability of childhood anxiety. Future studies need to establish whether this relationship is causal and, if so, how pet dogs alleviate childhood anxiety.

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.

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.

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.

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.

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.

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.

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.

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.