Subjective cognitive decline (SCD) is defined as self-reported increase in confusion or memory loss. There is limited research on the interplay between rural–urban residence and education on SCD.

Examine rural–urban differences in SCD, and whether education moderates this relationship.

Respondents aged ≥45 years were queried about SCD in the 2022 Behavioral Risk Factor Surveillance System data, creating a sample size of 63 890. A logistic regression analysed the association between rural–urban residence and SCD, and moderation was tested by an interaction with education.

SCD was more common among rural (12.0%) compared with urban (10.7%) residents. Rural residence was associated with 9% significantly higher odds of SCD compared with urban residence after adjusting for sociodemographic and health covariates (adjusted odds ratio (aOR) = 1.09, P = 0.01). There was a negative relationship between education level and SCD, including the association of college degree with 15% lower odds of SCD compared with less than high school degree (aOR = 0.85, P < 0.01). Education was a significant moderator, with higher education associated with lower odds of SCD for urban, but not rural, residents.

Rural setting and lower education were associated with higher odds of SCD, but higher education was protective for only urban residents. These results indicate that higher education may be a gateway for more opportunities and resources in urban settings, with cascading impacts on cognition. Future research should examine reasons for the diverging cognitive benefits from education depending on rural–urban residence.

The study examined the impact of the Diabetes Prevention and Management program on dietary tracking, changes in dietary behavior, glycosylated hemoglobin (HbA1c) and weight loss over six months among rural adults with type 2 diabetes and prediabetes. The program was a health coach (HC)-led, community-based lifestyle intervention.

The study used an explanatory sequential quantitative and qualitative design to gain insight on participant’s dietary behavior and macronutrient consumption as well as experience with food tracking. Five of the 22 educational sessions focused on dietary education. Participants were taught strategies for healthy eating and dietary modification. Trained HCs delivered the sessions and provided weekly feedback to food journals.

Obese adults with type 2 diabetes or prediabetes (n=94) participated in the program and fifty-six (66%) completed dietary tracking (optional) for six months. Twenty-two participated in three focus groups.

Fifty-nine percent consistently completed food journals. At 6 months, average diet self-efficacy and dietary intake improved, and average weight loss was 4.58 ± 9.14lbs. Factors associated with weight loss included attendance, consistent dietary tracking, higher HbA1c, diabetes status, and calorie intake (Adjusted R2 = 43.5%; F=.003). Focus group participants reported the program improved eating habits. Consistency of dietary tracking was cumbersome yet was beneficial for making better choices and key to being honest.

Participants who consistently tracked their diet improved dietary self-efficacy and intake over six months. This model has the potential to be reproduced in other rural regions of the United States.

Limited access to multiple sclerosis (MS)-focused care in rural areas can decrease the quality of life in individuals living with MS while influencing both physical and mental health.

The objectives of this research were to compare demographic and clinical outcomes in participants with MS who reside within urban, semi-urban and rural settings within Newfoundland and Labrador. All participants were assessed by an MS neurologist, and data collection included participants’ clinical history, date of diagnosis, disease-modifying therapy (DMT) use, measures of disability, fatigue, pain, heat sensitivity, depression, anxiety and disease activity.

Overall, no demographic differences were observed between rural and urban areas. Furthermore, the categorization of primary residence did not demonstrate any differences in physical disability or indicators of disease activity. A significantly higher percentage of participants were prescribed platform or high-efficacy DMTs in semi-urban areas; a higher percentage of participants in urban and rural areas were prescribed moderate-efficacy DMTs. Compared to depression, anxiety was more prevalent within the entire cohort. Comparable levels of anxiety were measured across all areas, yet individuals in rural settings experienced greater levels of depression. Individuals living with MS in either an urban or rural setting demonstrated clinical similarities, which were relatively equally managed by DMTs.

Despite greater levels of depression in rural areas, the results of this study highlight that an overall comparable level and continuity of care is provided to individuals living with MS within rural and urban Newfoundland and Labrador.

Treatment of acute ischemic stroke is highly time dependent, which relies heavily on each hospital’s ability and capacity. Designated stroke centers have been established across Canada, but there is still a divide between urban and rural hospitals. This study aims to understand the similarities and differences in their stroke treatment process workflow, incorporation of best practices and data collection.

Interviews were conducted with clinicians in stroke centers across Canada to identify similarities and differences between provinces and hospital treatment capability. Semi-structured interviews were completed from September 15 to November 3, 2023, with clinicians and stroke coordinators using snowball and purposive sampling techniques. The interviews were analyzed using thematic analysis.

Fourteen participants were interviewed with representatives from four primary stroke centers and three comprehensive stroke centers across five provinces. Five primary themes were identified: 1) management of resources, 2) standardization of tasks, 3) data collection, 4) tool integration into workflow and 5) teamwork and experience. Participants in primary centers described limited resources to follow the patient through the entire treatment process, reliance on pre-notification times to prospectively search necessary patient information, using software to aid in calculating National Institute of Health Stroke Scale and being more cautious toward treating thrombolytics. Both center types discussed challenges with complete and accurate data collection.

The overall stroke treatment process and information required across primary and comprehensive centers are similar. However, differences occur in the process due to limitations in resources, pre-arrival notification time, completeness and accuracy of data collected and comfort in treating with thrombolytics.

This study aimed to explore healthcare experiences of rural-living patients both with (attached) and without (unattached) a local primary care provider.

Primary care providers serve a gatekeeping role in the Canadian healthcare system as the first contact for receiving many health services. With the shortage of primary care providers, especially in rural areas, there is a need to explore attached and unattached patient experiences when accessing healthcare.

A cross-sectional survey of rural patients both with (attached) and without (unattached) a primary care provider was conducted July–September 2022. An open-ended question gathered participants’ thoughts and experiences with provider shortages.

Overall, 523 (Mean age = 51 years, 75% female) rural British Columbia community members (306 attached; 217 unattached) completed the survey. Despite similar overall health, unattached patients received care less frequently overall compared to attached patients, including less frequent non-urgent and preventive care. The vast majority of attached patients sought care from a regular provider whereas unattached patients were more likely to use walk-in, emergency department, and urgent care and 29% did not seek care at all. Overall, 460 (88.0%) provided a response to the open-ended doctor shortage question. Similar themes were found among both attached and unattached participants and included: i) the ubiquity of the doctor shortage, ii) the precariousness or fluidity of attachment status, and iii) solutions and recommendations. Greater attention is needed on the negative and cyclical impacts provider shortages have for both attached and unattached patients alike.

West Virginia is a rural state with high rates of type 2 diabetes (T2DM) and prediabetes. The Diabetes Prevention and Management (DPM) program was a health coach (HC)-led, 12-month community-based lifestyle intervention.

The study examined the impact of the DPM program on changes in glycosylated hemoglobin (A1C) and weight over twelve months among rural adults with diabetes and prediabetes. Program feasibility and acceptability were also explored.

An explanatory sequential quantitative and qualitative one-group study design was used to gain insight into the pre- and 12-month changes to health behavior and clinical outcomes. Trained HCs delivered the educational sessions and provided weekly health coaching feedback. Assessments included demographics, clinical, anthropometric, and qualitative focus groups. Participants included 94 obese adults with diabetes (63%) and prediabetes (37%). Twenty-two participated in three focus groups.

Average attendance was 13.7 ± 6.1 out of 22 sessions. Mean weight loss was 4.4 ± 11.5 lbs at twelve months and clinical improvement in A1C (0.4%) was noted among T2DM adults. Program retention (82%) was higher among older participants and those with poor glycemic control. While all participants connected to a trained HC, only 72% had regular weekly health coaching. Participants reported overall acceptability and satisfaction with the program and limited barriers to program engagement.

Our findings suggest that it is feasible to implement an HC-led DPM program in rural communities and improve A1C in T2DM adults. Trained HCs have the potential to be integrated with healthcare teams in rural regions of the United States.

It is already well-understood that patients requiring multiple hospital visits deal with several barriers. This paper considers a new methodology for determining the barrier that travel can cause, applying it to the mixed rural-city population of South-West Wales, calculating the travel burden for patients accessing radiotherapy. Travel burden could factor into conversations around optimisation of appointments and the impact of changes to treatment pathways.

Patient-specific travel data were calculated using Google Maps, for 1516 patients attending South-West Wales Cancer Centre for radiotherapy, modelled for 5-fraction and 15-fraction regimes.

28% of patients travelled for longer than 60 minutes. Moving to a 5-fraction treatment regime saves 20 one-way trips to the hospital, resulting in an average time saving of 15.9 hours for those travelling by car and 39.3 hours for those travelling by public transport. On average, this reduces carbon dioxide emissions by 91 kg per patient.

Implementation of a 5-fraction treatment regime has significantly reduced the travel burden for some patients receiving radiotherapy, as well as emissions related to travel. However, access to radiotherapy services in South-West Wales varies, with certain regions facing substantial travel burdens. Further research exploring other potential options to reduce travel burden is needed.

Mental illness stigma is universally prevalent and a significant barrier to achieving global mental health goals. Mental illness stigma in Bangladesh has gained little attention despite its widespread impact on seeking mental health care in rural and urban areas. This study aimed to investigate mental illness stigma and the associated factors in rural and urban areas of Bangladesh.

The study areas were divided into several clusters from which 325 participants (≥18 years) were recruited with systematic random sampling. The Bangla version of the Days’ Mental Illness Stigma Scale was used to collect data. Independent-samples t-test, ANOVA, and multiple regression were performed.

Results suggest that gender, age, geographical location, socioeconomic status, and occupation significantly differed across subscales of stigma. Age, gender, seeking treatment of mental illness, having knowledge on mental health, and socioeconomic status were predictive factors of mental illness stigma. The results also showed a high treatment gap in both rural and urban areas.

This study supports that mental illness stigma is prevalent in Bangladesh, requiring coordinated efforts. Results can inform the development of contextually tailored mental health strategies to reduce stigma and contribute to the promotion of mental health of individuals and communities across Bangladesh.