Patient experiences in primary care do not differ according to rurality: a cross-sectional study.

BACKGROUND: Living in rural areas is a major contributor of health inequity. Tackling health inequity is important for primary care physicians. Therefore, it is important to compare the quality of primary care between rural and urban areas. To the best of our knowledge, this is the first study to examine the association between rurality and patient experience (PX) in Japan using validated measures. METHODS: This cross-sectional study was conducted using online surveys. Participants were selected using a stratified random sample based on sex and age. The Japanese version of the Person-Centered Primary Care Measure (PCPCM) was used as an indicator of PX. We used the Rurality Index for Japan (RIJ) to measure rurality. Furthermore, we used multivariate linear regression analysis to examine the relationship between the RIJ and PCPCM after adjusting for confounders. RESULTS: Of the 1112 eligible participants, 800 responded to the survey (response rate:71.9%). The mean PCPCM scores were 2.46 (standard deviation: 0.73) and median RIJ was 15 (interquartile range: 6-33). The crude and adjusted coefficients of rurality were - 0.02 (- 0.006-0.001, p = 0.114) and - 0.02 (- 0.005-0.001), respectively, demonstrating that rurality was not significantly associated with the total PCPCM score. Subgroup analyses were similar to the main analyses. CONCLUSION: We found that PX in primary care did not differ by rurality in the general Japanese population.

Disparities in Access to Bariatric Surgery in North Carolina.

BACKGROUND: This study sought to identify factors that contribute to disparities in access to bariatric surgery in North Carolina (NC). METHODS: Using the rate of bariatric surgery in the county with the best health outcome as the reference, we calculated the Surgical Equity Index (SEI) in the remaining counties in NC. RESULTS: Approximately 2.95 million individuals (29%) were obese in NC. There were 992 (.5%) bariatric procedures performed on a population of 194 209 individuals with obesity in the Reference County (RC). The mean SEI for bariatric surgery in NC was .47 (SD .17, range .15-.95). A statistically significant difference was observed in 89 counties. Univariable analyses identified the following variables to be significantly associated with the SEI: percent of population living in rural areas (% rural) (relative rate change in SEI [RR] = .994, 95% CI .92-.997; <.0001), median household income (RR = 1.0, 95% CI = 1.0-1.0; P = .0002), prevalence of diabetes (RR = .947, 95% CI .917-.977; .0006), the primary care physician ratio (RR = .995, 95% CI .991-.998; P = .006), and percent uninsured adults (RR = .955, 95% CI .927-.985; P = .003). By multivariable hierarchical regression analysis, only the % rural remained statistically associated with a low SEI (RR = .995 per 1% increase in % rural, 95% CI = .992, .998; P = .0002). DISCUSSION: The percent rural is the most significant predictor of disparities in access to bariatric surgery. For every 1% increase in % rural, the rate of surgery decreased by .5%. Understanding the characteristics of rurality that are barriers to access is crucial to mitigate disparities in bariatric surgical access in NC.

Cultural, Linguistic, and Geographical Diversity of Participants in Australian Physical Activity Research Studies: A Systematic Review.

BACKGROUND: The Australian population is highly diverse in terms of cultural heritage, languages spoken, and geographical dispersion. Health outcomes are often worse among these culturally, linguistically, and geographically diverse populations, and this is reflected in rates of physical activity participation, with people from these groups often engaging in insufficient physical activity for health benefits. This research aimed to investigate if physical activity intervention studies conducted in Australia were (1) designed to recruit culturally, linguistically, and geographically diverse participants and (2) recruiting culturally, linguistically, and geographically diverse participants. METHODS: We conducted a systematic review of physical activity intervention studies conducted in adults in Australia between 2015 and November 2022. Information relevant to inclusivity in study recruitment methods and diversity of recruited participants was extracted. RESULTS: We identified and extracted data from 371 studies, of which 98 were protocol papers for which no follow-up data was available. Only 26 studies (7%) included methods to recruit culturally or linguistically diverse participants. Most studies (189, 51%) recruited participants from major city locations, with few studies recruiting from more remote locations. No studies included recruitment from very remote regions. Information on cultural, linguistic, or geographic diversity of participants recruited to physical activity studies was provided by 109 studies (40% of studies including results) with the majority recruiting White, English-speakers from major cities. CONCLUSIONS: Few Australian physical activity studies are designed to recruit culturally, linguistically, and geographically diverse participants. Due to limited reporting of the diversity of participants, comparisons with population-representative data are unreliable.

Racial, ethnic, and rural disparities in distance to physicians among decedents with Alzheimer's disease and related dementias in Washington State.

INTRODUCTION: Distance to physicians may explain some of the disparities in Alzheimer's disease and related dementia (AD/ADRD) outcomes. METHODS: We generated round trip distance between residences of decedents with AD/ADRD and the nearest neurologist and primary care physician in Washington State. RESULTS: The overall mean distance to the nearest neurologist and primary care physician was 17 and 4 miles, respectively. Non-Hispanic American Indian and/or Alaska Native and Hispanic decedents would have had to travel 1.12 and 1.07 times farther, respectively, to reach the nearest neurologist compared to non-Hispanic White people. Decedents in micropolitan, small town, and rural areas would have had to travel 2.12 to 4.01 times farther to reach the nearest neurologist and 1.14 to 3.32 times farther to reach the nearest primary care physician than those in metropolitan areas. DISCUSSION: These results underscore the critical need to identify strategies to improve access to specialists and primary care physicians to improve AD/ADRD outcomes. HIGHLIGHTS: Distance to neurologists and primary care physicians among decedents with AD/ADRD American Indian and/or Alaska Native decedents lived further away from neurologists Hispanic decedents lived further away from neurologists Non-metropolitan decedents lived further away from neurologists and primary care Decrease distance to physicians to improve dementia outcomes.

Rural/Urban differences in uptake of preventive healthcare services: Variability in observed relationships across measures of rurality.

Rural residents are generally less likely to receive preventive healthcare than are urban residents, but variable measurement of rurality introduces inconsistency to these findings. We assessed the relationships between perceived and objective measures of rurality and uptake of preventive healthcare. In our sample, rural participants generally had equal or higher uptake of healthcare (i.e. private health insurance, check-up in the past year, being up-to-date on colorectal and cervical cancer screening) than urban participants. Importantly, the perceived measure of rurality performed similarly to the objective measures, suggesting that participant report could be a valid way to assess rurality in health studies. Significance for Public Health The ability to access routine preventive healthcare is a key component of public health. Comparing uptake of cancer screening in rural versus urban areas is one way to assess equity of healthcare access. Generally, rural areas have a higher burden of cancer than urban areas. The built environment, socioeconomic status, and patient perceptions can impact an individual's access to routine cancer screening. Preventive healthcare is of great importance to public health as a whole because screening can facilitate earlier diagnosis and more successful treatment for many preventable cancers, which may ultimately increase the quality and quantity of life.

Indonesia's first suicide statistics profile: an analysis of suicide and attempt rates, underreporting, geographic distribution, gender, method, and rurality.

Background: Timely and accurate data are critical for effective suicide prevention. Indonesia-the fourth most populous country in the world-has limited data availability and thus, limited data-driven interventions. Through a national government partnership, we obtained critical non-public data for attempts and suicides that could be analysed for the first time in Indonesia's history. Methods: We obtained and analysed data from five sources from 2016 to 2021: police data, death registry data, a provincial survey, a sample registry system, and the WHO's Global Health Observatory (WHO GHO) data. Using these data, we estimated underreporting, identified provinces with the highest suicide and suicide attempt rates, assessed gender ratios, identified methods used, and compared urban and rural suicides. Findings: The analysis yielded an underreporting rate of 859.10% for suicides, while verbal autopsies and increased quality control only increased coverage from 12.80% to 51.40%. Provinces with the highest rates of suicide were Bali, Riau Islands, Special Region of Yogyakarta, Central Java, and Central Kalimantan. Gender analysis revealed a ratio of 1: 2.11 for female to male suicides. Suicide methods analysis revealed that hanging and self-poisoning were the most used method, and rural suicides occurred at a rate 4.47 times higher than urban suicides. Interpretation: The analysis revealed the highest underreporting rate in the literature from a national sample and vast heterogeneity among provinces with high suicide rates-including provinces with strong mystic beliefs, suggesting the need for a culturally sensitive sub-national tailored approach. Through our study, we provide critical information which will allow for data-driven suicide prevention. Funding: The data collection for this was part of a project funded by the Australian Department of Foreign Affairs and Trade, Australian-Indonesian Institute (AII2020322).

County-level neonatal opioid withdrawal syndrome rates and real-world access to buprenorphine during pregnancy: An audit ("secret shopper") study in Missouri.

Background: Amid rising rates of neonatal opioid withdrawal syndrome (NOWS) worldwide and in many regions of the USA, we conducted an audit study ("secret shopper study") to evaluate the influence of county-level buprenorphine capacity and rurality on county-level NOWS rates. Methods: In 2019, up to three phone calls were made to buprenorphine prescribers in the state of Missouri (USA). County-level buprenorphine capacity was defined as the number of clinicians (across all specialties) accepting pregnant people divided by the number of births. Multivariable negative binomial regression models estimated associations between buprenorphine capacity, rurality, and county-level NOWS rates, controlling for potential confounders (i.e., poverty, unemployment, and physician shortages) that may correspond to higher rates of NOWS and lower rates of buprenorphine prescribing. Analyses were stratified using tertiles of county-level overdose rates (top, middle, and lowest 1/3 of overdose rates). Results: Of 115 Missouri counties, 81(70 %) had no buprenorphine capacity, 17(15 %) were low-capacity (<0.5-clinicians/1,000 births), and 17(15 %) were high-capacity (≥0.5/1,000 births). The mean NOWS rate was 6.5/1,000 births. In Missouri counties with both the highest and lowest opioid overdose rates, higher buprenorphine capacity did not correspond to decreases in NOWS rates (incidence rate ratio[IRR]=1.23[95 %-confidence-interval[CI]=0.65-2.32] and IRR=1.57[1.21-2.03] respectively). Rurality did not correspond to greater NOWS burden in both Missouri counties with highest and lowest opioid overdose rates. Conclusions: The vast majority of counties in Missouri have no capacity for buprenorphine prescribing during pregnancy. Rurality and lower buprenorphine capacity did not significantly predict elevated rates of NOWS.

Material financial hardship and insurance-related experiences among Utah's rural and urban cancer survivors.

PURPOSE: Describe material financial hardship (e.g., using savings, credit card debt), insurance, and access to care experienced by Utah cancer survivors; investigate urban-rural differences in financial hardship. METHODS: Cancer survivors were surveyed from 2018 to 2021 about their experiences with financial hardship, access to healthcare, and job lock (insurance preventing employment changes). Weighed percentage responses, univariable and multivariable logistic regression models for these outcomes compared differences in survivors living in rural and urban areas based on Rural-Urban Commuting Area Codes. RESULTS: The N = 1793 participants were predominantly Non-Hispanic White, female, and 65 or older at time of survey. More urban than rural survivors had a college degree (39.8% vs. 31.0%, p = 0.04). Overall, 35% of survivors experienced ≥ 1 financial hardship. In adjusted analyses, no differences were observed between urban and rural survivors for: material financial hardship, the overall amount of hardship reported, insurance status at survey, access to healthcare, or job lock. Hispanic rural survivors were less likely to report financial hardship than Hispanic urban survivors (odds ratio (OR) = 0.24, 95%CI = 0.08-0.73)). Rural survivors who received chemo/immune therapy as their only treatment were more likely to report at least one instance of financial hardship than urban survivors (OR = 2.72, 95%CI = 1.08-6.86). CONCLUSIONS: The relationship between rurality and financial hardship among survivors may be most burdensome for patients whose treatments require travel or specialty medication access. IMPLICATIONS FOR CANCER SURVIVORS: The impact of living rurally on financial difficulties after cancer diagnoses is complex. Features of rurality that may alter financial difficulty after a cancer diagnosis may vary geographically and instead of considering rurality as a stand-alone factor, these features should be investigated independently.

Primary care physicians working in rural areas provide a broader scope of practice: a cross-sectional study.

BACKGROUND: Scope of practice (SoP) is an important factor for primary care physicians (PCPs). One of the strong determinants of SoP is rurality. Although Japan has several rural areas, the SoP in rural areas and the effect of rurality on SoP have not been investigated. This study aimed to describe SoP in Japanese primary care settings and examine the association between rurality and SoP. METHODS: This cross-sectional study included PCPs in Japan. The participants were randomly sampled from the mailing list of the Japan Primary Care Association. The Scope of Practice Inventory (SPI) and Scope of Practice for Primary Care (SP4PC) were used as indicators of SoP. The Rurality Index for Japan (RIJ) was used for rurality. This study compared the number of items of SPI (total score, inpatient care, urgent care and ambulatory care) and SP4PC experienced by > 80% of all PCPs in the most urban (RIJ:1-10) and rural areas (RIJ: 91-100). A multivariable linear regression analysis was also performed to examine the relationship between the RIJ and SPI/SP4PC. RESULTS: Of 1,000 potential participants, 299 physicians responded to the survey (response rate: 29.9%). PCPs in the most rural areas experienced a greater number of items in the inpatientl/urgent care domains of the SPI and SP4PC than those in the most urban areas. The RIJ was the only common factor for a broader SoP in both the SPI and SP4C models. The coefficients of SoP were 0.09 (95% confidence interval: 0.03-0.16) in the SPI model and 0.017 (0.005-0.03) in the SP4PC model. CONCLUSION: Rurality was considerably associated with SoP. The findings of this study will be helpful in understanding the SoP on rural and urban areas.

County-level colorectal cancer screening rates on colorectal cancer survival in the state of Georgia: Does county-level rurality matter?

PURPOSE: Investigating CRC screening rates and rurality at the county-level may explain disparities in CRC survival in Georgia. Although a few studies examined the relationship of CRC screening rates, rurality, and/or CRC outcomes, they either used an ecological study design or focused on the larger population. METHODS: We conducted a retrospective analysis utilizing data from the 2004-2010 Surveillance, Epidemiology, and End Results Program. The 2013 United States Department of Agriculture rural-urban continuum codes and 2004-2010 National Cancer Institute small-area estimates for screening behaviors were used to identify county-level rurality and CRC screening rates. Kaplan-Meier method and Cox proportional hazard regression were performed. RESULTS: Among 22,160 CRC patients, 5-year CRC survival rates were lower among CRC patients living in low screening areas in comparison with intermediate/high areas (69.1% vs. 71.6% /71.3%; p-value = 0.030). Patients living in rural high-screening areas also had lower survival rates compared to non-rural areas (68.2% vs. 71.8%; p-value = 0.009). Our multivariable analysis demonstrated that patients living in intermediate (HR, 0.91; 95% CI, 0.85-0.98) and high-screening (HR, 0.92; 95% CI, 0.85-0.99) areas were at 8%-9% reduced risk of CRC death. Further, non-rural CRC patients living in intermediate and high CRC screening areas were 9% (HR, 0.91; 95% CI, 0.83-0.99) and 10% (HR, 0.90; 95% CI, 0.82-0.99) less likely to die from CRC. CONCLUSIONS: Lower 5-year survival rates were observed in low screening and rural high-screening areas. Living in intermediate/high CRC screening areas was negatively associated with the risk of CRC death. Particularly, non-rural patients living in intermediate/high-screening areas were 8%-9% less likely to die from CRC. Targeted CRC screening resources should be prioritized for low screening and rural communities.

Rural-urban differences in personality traits and well-being in adulthood.

OBJECTIVE: One large focus of personality psychology is to understand the biopsychosocial factors responsible for adult personality development and well-being change. However, little is known about how macro-level contextual factors, such as rurality-urbanicity, are related to personality development and well-being change. METHOD: The present study uses data from two large longitudinal studies of U.S. Americans (MIDUS, HRS) to examine whether there are rural-urban differences in levels and changes in the Big Five personality traits and well-being (i.e., psychological well-being, and life satisfaction) in adulthood. RESULTS: Multilevel models showed that Americans who lived in more rural areas tended to have lower levels of openness, conscientiousness, and psychological well-being, and higher levels of neuroticism. With the exception of psychological well-being (which replicated across MIDUS and HRS), rural-urban differences in personality traits were only evident in the HRS sample. The effect of neuroticism was fully robust to the inclusion of socio-demographic and social network covariates, but other effects were partially robust (i.e., conscientiousness and openness) or were not robust at all (i.e., psychological well-being). In both samples, there were no rural-urban differences in Big Five or well-being change. CONCLUSIONS: We discuss the implications of these findings for personality and rural health research.

Alcohol consumption and health-related quality of life in regional, rural and metropolitan Australia: analysis of cross-sectional data from the Community Health and Rural/Regional Medicine (CHARM) study.

BACKGROUND: Relationships between alcohol consumption and health are complex and vary between countries, regions, and genders. Previous research in Australia has focused on estimating the effect of alcohol consumption on mortality. However, little is known about the relationships between alcohol consumption and health-related quality of life (QoL) in Australia. This study aimed to investigate the levels of alcohol intake and QoL in males and females in rural, regional and metropolitan areas of Australia. METHOD: Participants (n = 1717 Australian adults) completed an online cross-sectional study. Males and females were compared on measures including the AUDIT-C and WHOQOL-BREF. Data were stratified into risk of alcohol use disorder (AUD) and associations were examined between alcohol consumption and QoL, adjusting for sociodemographic variables. RESULTS: Males had higher alcohol consumption and were at greater risk of AUD than females (20% vs 8%). Relationships between alcohol consumption and QoL were positive or non-significant for low-moderate AUD risk categories and negative in the severe AUD risk category. Males in regional communities reported higher alcohol consumption (AUDIT-C score 6.6 vs 4.1, p < 0.01) than metropolitan areas. Regression analyses identified that after adjusting for sociodemographic variables, alcohol consumption was positively related to overall, environmental, and physical QoL and general health. CONCLUSION: The results indicate that alcohol consumption is negatively related to QoL only in those with severe risk of AUD. Males in regional areas reported higher alcohol consumption than those in metropolitan areas. These results provide further information about relationships between alcohol intake and health in Australia that can help inform prevention, screening and delivery of interventions.

Predictors of Viral Suppression Among People Living with HIV in Rural Oregon.

With recent outbreaks of HIV in rural areas of the United States, it has become increasingly important to understand the factors affecting health outcomes of people with HIV living in rural areas. We assessed predictors of durable HIV viral suppression among rural participants using a pooled 7-year dataset from the Medical Monitoring Project (MMP), a cross-sectional, representative sample of individuals receiving HIV medical care in Oregon. Only 77.3% of rural participants achieved durable HIV viral suppression, while 22.7% had at least one detectable HIV viral load measurement within the past 12 months. The primary predictors of viral suppression were ARV adherence, poverty, and reported heavy drinking in the past 30 days. These results highlight the influence of social factors on health outcomes for persons with HIV living in rural areas and inform areas for policy and program change.

RESUMEN: Con los brotes recientes de VIH en áreas rurales de los Estados Unidos, se ha vuelto cada vez más importante comprender los factores que afectan los resultados de salud de las personas con VIH que viven en áreas rurales. Evaluamos los predictores de la supresión viral del VIH duradera entre los participantes rurales utilizando un conjunto de datos combinados de siete años del Proyecto de Monitoreo Médico (MMP), una muestra transversal y representativa de personas que reciben atención médica para el VIH en Oregón. Solo el 77,3% de los participantes rurales logró una supresión viral del VIH duradera, mientras que el 22,7% tuvo al menos una medición detectable de la carga viral del VIH en los últimos 12 meses. Los predictores primarios de la supresión viral fueron la adherencia a los ARV, la pobreza y el consumo excesivo de alcohol informado en los últimos 30 días. Estos resultados destacan la influencia de los factores sociales en los resultados de salud de las personas con VIH que viven en áreas rurales e informan las áreas para el cambio de políticas y programas.

Individual Socioeconomic Factors Have a Greater Impact on End-of-Life Care Outcomes Than Regional Factors.

Background: End-of-life (EoL) care provided to Americans in urban and rural settings is distinct in terms of both available and delivered services. However, much less is known about which geographic, demographic, and health indicators are associated with disparities in EoL care and how individual versus regional characteristics influence quality of care (QoC). Objective: This study aimed to assess how regionality, rurality, and individual socioeconomic factors are associated with QoC in the last month of life (LML). Design: Nationally representative cross-sectional study using the proxy-completed LML questionnaire as part of the National Health and Aging Trends Study (NHATS). The data were linked at the zip code level to geographic and economic indicators. Settings/Subjects: A total of 2778 NHATS enrollees who died from 2012 to 2020. Measurements: Measurements included population density, socioeconomic indicators, health factors, and health outcomes. The primary independent variable was proxy-reported QoC during the LML (excellent vs. not excellent). Results: In our sample, 52.1% (n = 1447) reported not excellent care and 47.9% (n = 1331) reported excellent care. These populations varied in their demographic and socioeconomic characteristics. After accounting for survey weighting and design, decedents in the top (odds ratio [OR]: 1.58; 95% confidence interval [CI]: 1.08-2.32) income quartile had significantly greater odds of receiving excellent care than decedents in the bottom quartile. Decedents in zip codes with top quartile health outcome metrics had significantly greater odds of receiving excellent care (OR: 1.64; 95% CI: 1.17-2.29) than decedents in zip codes with bottom quartile health outcomes. County rurality index and county health factors were not correlated with QoC in the LML. Conclusions: High QoC at the EoL may be more associated with individual socioeconomic factors than regional indicators, including degrees of rurality. Clinicians should strive to recognize the interplay of individual characteristics and regional indicators to provide more personalized care.

A smoking cessation intervention for rural veterans tailored to individual risk factors: A multicenter randomized clinical trial.

INTRODUCTION: Rates of cigarette use remain elevated among those living in rural areas. Depressive symptoms, risky alcohol use, and weight concerns frequently accompany cigarette smoking and may adversely affect quitting. Whether treatment for tobacco use that simultaneously addresses these issues affects cessation outcomes is uncertain. METHODS: The study was a multicenter, two-group, randomized controlled trial involving mostly rural veterans who smoke (N = 358) receiving treatment at one of five Veterans Affairs Medical Centers. The study randomly assigned participants to a tailored telephone counseling intervention or referral to their state tobacco quitline. Both groups received guideline-recommended smoking cessation pharmacotherapy, selected using a shared decision-making approach. The primary outcome was self-reported seven-day point prevalence abstinence (PPA) at three and six months. The study used salivary cotinine to verify self-reported quitting at six months. RESULTS: Self-reported PPA was significantly greater in participants assigned to Tailored Counseling at three (OR = 1.66; 95 % CI: 1.07-2.58) but not six (OR = 1.35; 95 % CI: 0.85-2.15) months. Post hoc subgroup analyses examining treatment group differences based on whether participants had a positive screen for elevated depressive symptoms, risky alcohol use, and/or concerns about weight gain indicated that the cessation benefit of Tailored Counseling at three months was limited to those with ≥1 accompanying concern (OR = 2.02, 95 % CI: 1.20-3.42). Biochemical verification suggested low rates of misreporting. CONCLUSIONS: A tailored smoking cessation intervention addressing concomitant risk factors enhanced short-term abstinence but did not significantly improve long-term quitting. Extending the duration of treatment may be necessary to sustain treatment effects.

Exploring Rural-Urban Differences in the Association Between Internet Use and Cognitive Functioning Among Older Adults in China.

OBJECTIVES: We examine rural-urban differences between internet use and cognitive functioning among older Chinese adults and the mediating role of perceived social support networks across rural and urban areas. METHODS: Data were from the 2016 and 2018 waves of the Chinese Longitudinal Aging Social Survey (N = 9,591). Ordinary least squares regression and mediation analyses were used to examine the specific hypotheses. RESULTS: General internet use was significantly associated with improved cognitive functioning among older adults in the overall sample. Social support networks mediated the relationship between general internet use and cognitive functioning, but only for older adults living in rural areas. After disaggregating internet use into specific online activities, watching shows was associated with better cognitive functioning for older adults living in urban areas. For those in rural areas, chatting was positively associated with cognitive functioning, while playing games was negatively associated with cognitive functioning. DISCUSSION: We showed that social support mediates the relationship between internet use and cognitive functioning differently in rural and urban areas. Cognitive benefits derived from specific types of online activities also depend on their residence. These findings suggest that efforts aimed at improving internet use among rural older adults may be more fruitful if they focus on building social opportunities for older adults.

Primary care transformation in Scotland: a qualitative study of GPs' and multidisciplinary team members' views.

BACKGROUND: The Scottish Government's vision to transform primary care includes expansion of the primary care multidisciplinary team (MDT), formalised in the new GP contract in April 2018. AIM: To explore practitioners' views on the expansion of MDT working in Scotland. DESIGN AND SETTING: Qualitative study with GPs and a range of MDT staff working in three different population settings in Scotland. METHOD: In-depth semi-structured interviews were carried out by telephone with 8 GPs and 19 MDT staff between May and June 2022. Interviews were audio-recorded and transcribed verbatim. Thematic analysis was conducted to identify commonalities and divergences in the interviews. RESULTS: Internal challenges facing MDT staff included adapting to the fast pace of primary care, building new relationships, training and professional development needs, line management issues, and monitoring and evaluation of performance. External challenges included the ongoing effects of the COVID-19 pandemic, lack of time, difficulties with hybrid working, and low staff morale. Most GPs reported that expansion of their roles as expert medical specialists had not yet happened because their workload had not decreased (and in many cases had increased). In deprived areas, insufficient resources to deal with the high numbers of patients with complex multimorbidity remained a key issue. Interviewees in remote and rural settings felt the new contract did not take into account the unique challenges of providing primary care services in such areas, and recruitment and accommodation were cited as particular problems. CONCLUSION: Although there has been substantial expansion of the primary care MDT, which most GPs welcome, many challenges to effective implementation remain that must be addressed if transformation of primary care in Scotland is to become a reality.

Correlates of maternal depression, anxiety and functioning across an urban-rural gradient in northern Ecuador.

Maternal depression remains under characterised in many low- and middle-income countries, especially in rural settings. We aimed to describe maternal depression and anxiety symptoms in rural and urban communities in northern Ecuador and to identify socioeconomic and demographic factors associated with these symptoms. Data from 508 mothers participating in a longitudinal cohort study were included. Depression and anxiety symptoms were assessed using the Hopkins Symptom Checklist (HSCL-25), and maternal psychological functioning was assessed using a checklist of daily activities. Tobit regression models were used to examine associations with sociodemographic variables and urbanicity. The median HSCL-25 score was 1.2 (IQR: 0.4) and 14% of women scored above the threshold for clinically relevant symptoms. Rural women reported similar food insecurity, less education, younger age of first pregnancy, and lower socio-economic status compared to their urban counterparts. After adjusting for these factors, rural women reported lower HSCL-25 scores compared to women lin urban areas (ß = -0.48, 95%CI:0.65, -0.31). Rural residence was also associated with lower depression and anxiety HSCL-25 sub-scale scores, and similar levels of maternal functioning, compared to urban residence. Our results suggest that both household and community-level factors are risk factors for maternal depression and anxiety in this context.