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Rural counties make up about 80 percent of the land area of the United States, but they contain less than 20 percent of the U.S. population. The relative sparseness of the population in rural areas is one of many factors that influence the health and well-being of rural Americans. Rural areas have histories, economies, and cultures that differ from those of cities and from one rural area to another. Understanding these differences is critical to taking steps to improve health and well-being in rural areas and to reduce health disparities among rural populations. To explore the impacts of economic, demographic, and social issues in rural communities and to learn about asset-based approaches to addressing the associated challenges, the National Academies of Sciences, Engineering, and Medicine held a workshop on June 13, 2017. This publication summarizes the presentations and discussions from the workshop.

Studies comparing the access to health care of rural and urban populations have been contradictory and inconclusive. These studies are complicated by the influence of other factor which have been shown to be related to access and utilization. This study assesses the equity of access to health care services across the rural-urban continuum in Canada before and after taking other determinants of access into account. This is a cross-sectional study of the population of the 10 provinces of Canada using data from the Canadian Community Health Survey (CCHS 2.1). Five different measures of access and utilization are compared across the continuum of rural-urban. Known determinants of utilization are taken into account according to Andersen's Health Behaviour Model (HBM); location of residence at the levels of province, health region, and community is also controlled for. This study found that residents of small cities not adjacent to major centres, had the highest reported utilisation rates of influenza vaccines and family physician services, were most likely to have a regular medical doctor, and were most likely to report unmet need. Among the rural categories there was a gradient with the most rural being least likely to have had a flu shot, use specialist physicians services, or have a regular medical doctor. Residents of the most urban centres were more likely to report using specialist physician services. Many of these differences are diminished or eliminated once other factors are accounted for. After adjusting for other factors those living in the most urban areas were more likely to have seen a specialist physician. Those in rural communities had a lower odds of receiving a flu shot and having a regular medical doctor. People residing in the most urban and most rural communities were less likely to have a regular medical doctor. Those in any of the rural categories were less likely to report unmet need. Inequities in access to care along the rural-urban continuum exist and can be masked when evaluation is done at a very large scale with gross indicators of rural-urban. Understanding the relationship between rural-urban and other determinants will help policy makers to target interventions appropriately: to specific demographic, provincial, community, or rural categories.

In recent years, Bangladesh government has accomplished the ambitious project of establishing hospitals 18,000 Community Health Clinics in sub-districts across the country. Operating under the affiliation of the government hospitals, these community health clinics aim to provide free healthcare services and to increase health-awareness among the extreme poor communities in the rural areas. However, a great proportion of the people are still not well aware of the services offered by the community health clinics. Thus, it is imperative to identify the factors of awareness regarding the community clinics. Research-based evidence is necessary to improve the efficacy and service coverage of community clinics among key population. Cross-sectional data of size 11,673 women aged 15 to 49 years living in rural settings across seven divisions were extracted from the latest Bangladesh Demographic and Health Survey 2014. The main outcome measures of our study were awareness and utilization of Community Clinic Services (CCs). Descriptive statistics were used to present the baseline socio-demographic and economic characteristics; Chi-square test and logistic regression were performed to identify the factors associated with awareness of community clinics. About one-third (36.7%) of the women were aware of community clinics. Geographical location, level of education, household wealth status and frequency of reading newspaper were found to be significantly associated with awareness about community clinic services. Services reported to be obtained in the community clinics include family planning, immunization, tetanus, antenatal care, vitamin A, and health care for children and child growth monitoring. In the multivariate logistic regression, the odds of awareness among participants with primary education [p<0.001, AOR = 1.255, 95%CI = 1.107-1.357], secondary qualification [p<0.001, AOR = 1.370, 95%CI = 1.242-1.510] and tertiary [p<0.001, AOR = 1.526, 95%CI = 1.286-1.809] had approximately 23%, 37% and 53% respectively higher odds of awareness when compared to those with no formal education. Compared to the women living in richest households, odds of awareness were approximately 12.5%, 12.8%, 4.5% and 22.4% respectively higher among women reported in poorer, middle, richer and richest household wealth status when compared to poorest wealth status. Our findings suggested that policies enhancing improved education could benefit health awareness. Poverty elimination and income generation programs among women are also likely to improve awareness about community health clinics in the target population. Special policy attention is required to address the regional variation of awareness about Community clinics.

Online mental health resources have been proposed as an innovative means of overcoming barriers to accessing rural mental health services. However, clinicians tend to express lower satisfaction with online mental health resources than do clients. To understand rural clinicians' attitudes towards the acceptability of online mental health resources as a treatment option in the rural context. In-depth interviews were conducted with 21 rural clinicians (general practitioners, psychologists, psychiatrists, and clinical social workers). Interviews were supplemented with rural-specific vignettes, which described clinical scenarios in which referral to online mental health resources might be considered. Symbolic interactionism was used as the theoretical framework for the study, and interview transcripts were thematically analyzed using a constant comparative method. Clinicians were optimistic about the use of online mental health resources into the future, showing a preference for integration alongside existing services, and use as an adjunct rather than an alternative to traditional approaches. Key themes identified included perceptions of resources, clinician factors, client factors, and the rural and remote context. Clinicians favored resources that were user-friendly and could be integrated into their clinical practice. Barriers to use included a lack of time to explore resources, difficulty accessing training in the rural environment, and concerns about the lack of feedback from clients. Social pressure exerted within professional clinical networks contributed to a cautious approach to referring clients to online resources. Successful implementation of online mental health resources in the rural context requires attention to clinician perceptions of acceptability. Promotion of online mental health resources to rural clinicians should include information about resource effectiveness, enable integration with existing services, and provide opportunities for renegotiating the socially defined role of the clinician in the eHealth era.

Ethiopia is one of the developing countries with the poorest health status and the health services utilization is generally low with different patterns in different regions of the country. Therefore, the aim of this study was to assess utilization of modern health services and associated factors in Dessie, Ethiopia. A cross sectional study design was employed from January to March, 2015 in Dessie City. The total sample was 420 adults. Adults were selected by stratified random sampling. The strata were made using residence as urban and rural residents. The data was collected using pre-tested, interviewer administered questionnaire. The data was entered into Epi infoTM7 software and exported to Statistical Package for Social Sciences (SPSS) version 20 Software for analysis. Binary logistic regression was used to evaluate independent effect of each variable on modern health service utilization by controlling the effect of others. The strength of association between dependent variable and independent variables was expressed by odds ratio with 95% confidence interval. The overall modern health services utilization rate was 41.8%. Being Female sex, annual income greater than poverty line, poor perception of health status, high perceived severity of illness, two or more than two number of illnesses in the last 12 months prior to the survey and presence of chronic health problem were found to have a significant association with utilization of modern health services. Modern health services utilization was found to be low. Being female sex, annual income above poverty line, having poor perceived health status, having two or more than two illnesses, severe perceived severity of illness and having chronic health problem were found to have a statistically significant association with utilization. Therefore, efforts have to be made to increase utilization of modern health services through establishing systems like health extension workers and health development army.

Mass media is critical in disseminating public health information, improving health knowledge and changing health behaviours. However, most of the mass media public health interventions do not sufficiently engage the local people; they are externally determined. Due to this, very little is known about the effects of locally instigated mass media promotion. Therefore, the aim of this study was to examine the impact of a community driven mass media campaign called Phukusi la Moyo (tips of life) on the utilisation of maternal health care services. A community-based cross-sectional study involving 3825 women of reproductive age (15-49 years) was conducted in rural Malawi to evaluate the Phukusi la Moyo (PLM) campaign. To do this, we compared the utilisation of maternal health care services between women who were exposed to the PLM campaign and those who were not. Respondents were identified using a multistage cluster sampling method. This involved systematically selecting communities (clusters), households and respondents. Associations were examined using Pearson chi square test and a multivariable logistic regression model. The likelihood of using contraceptives (AOR = 1.61; 95% CI = 1.32-1.96), sleeping under mosquito bed-nets (AOR = 1.65; 95% CI = 1.39-1.97), utilising antenatal care services (AOR = 2.62; 95% CI = 1.45-4.73) and utilising postnatal care services (AOR = 1.59; CI = 1.29-1.95) were significantly higher among women who had exposure to the PLM campaign than those who did not. No significant association was found between health facility delivery and exposure to the PLM campaign. Women exposed to a community driven mass media campaign in rural Malawi were more likely to utilise maternal health care services than their unexposed counterparts. Since, the use of maternal health care services reduces the risk of maternal morbidity and mortality, community-led mass media could play a significant role towards improving maternal health outcomes in low-and-middle-income countries. Therefore, we recommend the use of locally driven mass media in disseminating public health information in limited resource settings.

We fielded a population-based discrete choice experiment (DCE) in rural western Tanzania, where only one third of women deliver children in a health facility, to evaluate health-system factors that influence women's delivery decisions. Women were shown choice cards that described 2 hypothetical health centers by means of 6 attributes (distance, cost, type of provider, attitude of provider, drugs and equipment, free transport). The women were then asked to indicate which of the 2 facilities they would prefer to use for a future delivery. We used a hierarchical Bayes procedure to estimate individual and mean utility parameters. A total of 1203 women completed the DCE. The model showed good predictive validity for actual facility choice. The most important facility attributes were a respectful provider attitude and availability of drugs and medical equipment. Policy simulations suggested that if these attributes were improved at existing facilities, the proportion of women preferring facility delivery would rise from 43% to 88%. In regions in which attended delivery rates are low despite availability of primary care facilities, policy experiments should test the effect of targeted quality improvements on facility use.

Despite the international emphasis in the last few years on the need to address the unmet health needs of pregnant women and children, progress in reducing maternal mortality has been slow. This is particularly worrying in sub-Saharan Africa where over 162,000 women still die each year during pregnancy and childbirth, most of them because of the lack of access to skilled delivery attendance and emergency care. With a maternal mortality ratio of 673 per 100,000 live births and 19,000 maternal deaths annually, Ethiopia is a major contributor to the worldwide death toll of mothers. While some studies have looked at different risk factors for antenatal care (ANC) and delivery service utilisation in the country, information coming from community-based studies related to the Health Extension Programme (HEP) in rural areas is limited. This study aims to determine the prevalence of maternal health care utilisation and explore its determinants among rural women aged 15-49 years in Tigray, Ethiopia. The study was a community-based cross-sectional survey using a structured questionnaire. A cluster sampling technique was used to select women who had given birth at least once in the five years prior to the survey period. Univariable and multivariable logistic regression analyses were carried out to elicit the impact of each factor on ANC and institutional delivery service utilisation. The response rate was 99% (n=1113). The mean age of the participants was 30.4 years. The proportion of women who received ANC for their recent births was 54%; only 46 (4.1%) of women gave birth at a health facility. Factors associated with ANC utilisation were marital status, education, proximity of health facility to the village, and husband's occupation, while use of institutional delivery was mainly associated with parity, education, having received ANC advice, a history of difficult/prolonged labour, and husbands' occupation. A relatively acceptable utilisation of ANC services but extremely low institutional delivery was observed. Classical socio-demographic factors were associated with both ANC and institutional delivery attendance. ANC advice can contribute to increase institutional delivery use. Different aspects of HEP need to be strengthened to improve maternal health in Tigray.

To measure socioeconomic inequalities in maternal health services in rural western China and to analyze the determinants' contributions of inequalities. a cross-sectional study. The data utilized in this study were obtained from a cross-sectional study from 10 provinces in rural Western China in 2005. Wealth index of household socioeconomic status was developed by using principle component analysis. Concentration index, concentration curve and decomposition of the concentration index were employed to measure socioeconomic inequality in maternal health services utilization. For more than four times prenatal visits, the concentration index was 0.0605 (95% CI: 0.0603, 0.0607). The concentration index of hospital delivery was 0.0230 (95% CI: 0.0210, 0.0240) and the concentration index of more than 2 times postnatal visits was 0.0842 (95% CI: 0.0836, 0.0847). Han ethnicity woman, particularly in conjunction with high school education and rich wealth status, was the main contributor to inequality in maternal health services utilization. There is a strong pro-rich inequality of maternal health services in rural western China. This study suggests that an effective way to reduce the inequality is not only to narrow the gap of income between the rich and poor, but focus education on ethnic minority woman in rural remote areas.

Antenatal care (ANC) presents important opportunities to reach women with crucial interventions. Studies on determinants of ANC use often focus on household and individual factors; few investigate the role of health service factors, partly due to lack of appropriate data. We assessed how distance to facilities and level of service provision at ANC facilities in Zambia influenced the number and timing of ANC visits and the quality of care received. Using the 2005 Zambian national Health Facility Census, we classified ANC facilities according to the level of service provision. In a geographic information system, we linked the facility information to household data from the 2007 DHS to calculate straight-line distances. We performed multivariable multilevel logistic regression on 2405 rural births to investigate the influence of distance to care and of level of provision on three aspects of ANC use: attendance of at least four visits, visit in first trimester and receipt of quality ANC (4+ visits with skilled health worker and 8+ interventions). We found no effect of distance on timing of ANC or number of visits, and better level of provision at the closest facility was not associated with either earlier ANC attendance or higher number of visits. However, there was a strong influence of both distance to a facility, and level of provision at the closest ANC facility on the quality of ANC received; for each 10 km increase in distance, the odds of women receiving good quality ANC decreased by a quarter, while each increase in the level of provision category of the closest facility was associated with a 54% increase in the odds of receiving good quality ANC. To improve ANC quality received by mothers, efforts should focus on improving the level of services provided at ANC facilities and their accessibility.