[Differences in Billing Patterns Between GPs and Pediatricians Using Early Diagnostics in Children and Adolescents as an Example: Analysis of Nationwide Data from Statutory Health Insurance Physicians]. / Kompensation von Leistungen zwischen Hausärzten und Kinder- und Jugendmedizinern am Beispiel der Früherkennungsuntersuchungen bei Kindern und Jugendlichen ­ Analyse von bundesweiten KBV-Daten.

BACKGROUND: Despite a 13.1% increase in the number of pediatricians between 2011 - 2020, the capacity of pediatric care has largely stagnated. This is due to increasing flexibility in working hours and a declining willingness of doctors to establish practices. In addition, there is an imbalance in the distribution of pediatric medical care capacities. While metropolitan areas are often characterized by oversupply, there is an increasing shortage of pediatricians, especially in rural areas. As a result, general practitioners in rural areas are increasingly taking over part of pediatric care. We quantify this compensation effect using the example of examinations of general health and normal child development (U1-U9). METHODS: Basis of the analysis was the Doctors' Fee Scale within the Statutory Health Insurance Scheme (Einheitlicher Bewertungsmaßstab, EBM) from 2015 (4th quarter). Nationwide data from the National Association of Statutory Health Insurance Physicians (KBV) for general practitioners and pediatricians from 2015 was evaluated. In the first step, the EBM was used to determine the potential overlap of services between the two groups of doctors. The actual compensation between the groups was quantified using general health and normal child development as an example. RESULTS: In section 1.7.1 (early detection of diseases in children) of the EBM, there is a list of 16 options for services that can be billed (fee schedule positions, GOP) by general practitioners and pediatricians. This particularly includes child examinations U1 to U9. The analysis of the national data of the KBV for the early detection of diseases in children showed significant differences between rural and urban regions in the billing procedure. Nationwide, general practitioners billed 6.6% of the services in the area of early detection of diseases in children in 2015. In rural regions this share was 23% compared to 3.6% in urban regions. The analysis of the nationwide data showed that the proportion of services billed by general practitioners was higher in rural regions than in urban regions. CONCLUSION: The EBM allows billing of services by both general practitioners and pediatricians, especially in the area of general GOP across all medical groups. The national billing data of the KBV shows that general practitioners in rural regions bill more services from the corresponding sections than in urban regions.

Primary care bonus payments and patient-reported access in urban Ontario: a cross-sectional study.

BACKGROUND: Rurality strongly correlates with higher pay-for-performance access bonuses, despite higher emergency department use and fewer primary care services than in urban settings. We sought to evaluate the relation between patient-reported access to primary care and access bonus payments in urban settings. METHODS: We conducted a cross-sectional, secondary data analysis using Ontario survey and health administrative data from 2013 to 2017. We used administrative data to calculate annual access bonuses for eligible urban family physicians. We linked this payment data to adult (≥ 16 yr) patient data from the Health Care Experiences Survey to examine the relation between access bonus achievement (in quintiles of the proportion of bonus achieved, from lowest [Q1, reference category] to highest [Q5]) and 4 patient-reported access outcomes. The average survey response rate to the patient survey during the study period was 51%. We stratified urban geography into large, medium and small settings. In a multilevel regression model, we adjusted for patient-, physician- and practice-level covariates. We tested linear trends, adjusted for clustering, for each outcome. RESULTS: We linked 18 893 respondents to 3940 physicians in 414 bonus-eligible practices. Physicians in small urban settings earned the highest proportion of their maximum potential access bonuses. Access bonus achievement was positively associated with telephone access (Q2 odds ratio [OR] 1.18, 95% confidence interval [CI] 0.98-1.42; Q3 OR 1.34, 95% CI 1.10-1.63; Q4 OR 1.46, 95% CI 1.19-1.79; Q5 OR 1.87, 95% CI 1.50-2.33), after hours access (Q2 OR 1.26, 95% CI 1.09-1.47; Q3 OR 1.46, 95% CI 1.23-1.74; Q4 OR 1.77, 95% CI 1.46-2.15; Q5 OR 1.88, 95% CI 1.52-2.32), wait time for care (Q2 OR 1.01, 95% CI 0.85-1.20; Q3 OR 1.17, 95% CI 0.97-1.41; Q4 OR 1.27, 95% CI 1.05-1.55; Q5 OR 1.63, 95% CI 1.32-2.00) and timeliness (Q2 OR 1.29, 95% CI 0.98-1.69; Q3 OR 1.29, 95% CI 0.94-1.77; Q4 OR 1.58, 95% CI 1.16-2.13; Q5 OR 1.98, 95% CI 1.38-2.82). When stratified by geography, we observed several of these associations in large urban settings, but not in small urban settings. Trend tests were statistically significant for all 4 outcomes. INTERPRETATION: Although the access bonus correlated with access in larger urban settings, it did not in smaller settings, aligning with previous research questioning its utility in smaller geographies. The access bonus may benefit from a redesign that considers geography and patient experience.

Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population.

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Comparison of rural and urban French GPs' activity: a cross-sectional study.

INTRODUCTION: In various countries, a shortage of general practitioners (GPs) and worrying health statistics on risk factors, morbidity and mortality have been observed in rural areas. However, few comparative data are available on GP activities according to their location. The aim of this study was to analyse French GP activities according to their rural or urban practice location. METHODS: This study was ancillary to the Eléments de la COnsultation en médecine GENérale (ECOGEN) study, which was a cross-sectional, multicentre, national study conducted in 128 French general practices in 2012. Data were collected by 54 interns in training during a period of 20 working days from December 2011 to April 2012. GP practice location was classified as rural area, urban cluster or urban area. The International Classification of Primary Care (ICPC-2) was used to classify reasons for encounter, health problem assessments, and processes of care. Univariate analyses were performed for all dependent variables, then multivariable analyses for key variables, using hierarchical mixed-effect models. RESULTS: The database included 20 613 consultations. The mean yearly number of consultations per GP was higher in rural areas (p<0.0001), with a shorter consultation length (p<0.0001). No difference was found for GP sex (p=0.41), age (p=0.87), type of fees agreement (p=0.43), and type of practice (p=0.19) according to their practice location. Urban patients were younger, and there was a lower percentage of patients over 75 years (p<0.001). GPs more frequently consulted at patients' homes in rural areas (p<0.0001). The mean number of chronic conditions managed was higher in rural areas and urban clusters than in urban areas (p<0001). Hypertension (p<0.0001), type 2 diabetes (p=0.003), and acute bronchitis/bronchiolitis (p=0.01) were more frequently managed in rural areas than in urban clusters and areas. Health maintenance/prevention (p<0.0001) and no disease situations (p<0.0001) were less frequent in rural areas. Drug prescription was more frequent in rural areas than in urban clusters and areas (p<0.0001). Multivariable analysis confirmed the influence of a GP's rural practice location on the consultation length (p<0.0001), the number of chronic conditions per consultation (p<0.0001) and the number of health maintenance/prevention situations (p<0.0001), and a trend towards a higher yearly number of consultations per GP (p=0.09). CONCLUSION: French rural GPs tend to have a higher workload than urban GPs. Rural patients have more chronic conditions to be managed but are offered fewer preventive services during consultations. It is necessary to increase the GP workforce and develop cooperation with allied health professionals in rural areas.

Assessment of maternal health services: a comparative study of urban and rural primary health facilities in Kano State, Northwest Nigeria.

INTRODUCTION: all pregnant women are at potential risk of obstetric complications; majority of which can be treated if appropriate care is accessed promptly. A shift in focus to quality of care has the potential to unlock significant returns for every mother and newborn to end preventable maternal and infant deaths. The study aimed to assess the quality of maternal health services in primary health facilities in urban and rural communities of Kano State. METHODS: using a comparative cross-sectional study design that utilized mixed method of data collection, interviewer administered questionnaire were used to collect information from 438 women (219) each attending health facilities for maternal health services in rural and urban areas of Kano using multistage sampling technique from June to November, 2019. Six Key Informant Interviews with the heads of units/ facilities were purposively conducted. Quality of care was assessed using perspectives and system models based on the components of antenatal care received, postnatal care and perception of care received. A statistical significance was set at p-value < 0.05. Thematic framework analysis was used to analyze verbatim transcript from qualitative interviews. RESULTS: the age of the respondents ranged from 18-48 years with majority having secondary education in both communities. In both urban and rural communities, majority of the respondents had only 1-3 antenatal care visits making up 63.5% and 70.3% respectively. Almost similar proportions of the urban (58.4%) and rural (50.2%) respondents were delivered by a skilled birth attendant. About two-third of the respondents, 67.6% and 65.3% in the urban and rural communities respectively were completely satisfied with the quality of care received. Qualitative interviews pointed ignorance as the major factor that prevent mothers from accessing quality care and reported that satisfactory services were provided in all facilities. CONCLUSION: considerable disparity exists between urban and rural communities in quality of maternal health services with better provision of most services in the urban communities. There is need for improvement in the desirable and minimum acceptable quality of maternal health services in Kano State.

Mental Health and Substance Use Diagnoses and Treatment Disparities by Sexual Orientation and Gender in a Community Health Center Sample.

Purpose: This study assessed disparities in screener- and provider-identified mental health and substance use diagnoses and treatment attendance by sexual orientation and gender in an urban community health center focused on sexual and gender minority individuals. Methods: Using an electronic data query (October 2015 to October 2018), computerized screening results assessing likely depression, anxiety, alcohol use disorder (AUD), and substance use disorder (SUDs); provider diagnoses; and treatment initiation related to mental health and substance use were compared across sexual orientation (heterosexual, gay/lesbian, bisexual, and other) and gender categories (men and women, inclusive of cisgender and transgender individuals; N = 24,325). Results: Bisexual and other-identified individuals were more likely to screen positive for depression and anxiety, followed by gay/lesbian women, compared with heterosexual individuals and gay men (χ2 = 463.22, p < 0.001 and χ2 = 263.36, p < 0.001, respectively). Of those who screened positive for AUDs, women were less likely to be diagnosed by a professional (χ2 = 63.79, p < 0.001) and of those who screened positive for either alcohol or other SUDs, women were less likely to attend one or more substance use-related behavioral health appointments, regardless of sexual orientation (contingency coefficient = 0.14, p < 0.001). Conclusion: This community health center study identified a need for increased mental health services for bisexual and other-identified individuals and increased assessment and initiation of substance use treatment for women, including sexual minority women.

The effect of COVID-19 on emergency medical service call volumes and patient acuity: a cross-sectional study in Niagara, Ontario.

BACKGROUND: The COVID-19 pandemic is a major public health problem. Subsequently, emergency medical services (EMS) have anecdotally experienced fluctuations in demand, with reports across Canada of both increased and decreased demand. Our primary objective was to assess the effect of the COVID-19 pandemic on call volumes for several determinants in Niagara Region EMS. Our secondary objective was to assess changes in paramedic-assigned patient acuity scores as determined using the Canadian Triage and Acuity Scale (CTAS). METHODS: We analyzed data from a regional EMS database related to call type, volume, and patient acuity for January to May 2016-2020. We used statistical methods to assess differences in EMS calls between 2016 and 2019 and 2020. RESULTS: A total of 114,507 EMS calls were made for the period of January 1 to May 26 between 2016 and 2020, inclusive. Overall, the incidence rate of EMS calls significantly decreased in 2020 compared to the total EMS calls in 2016-2019. Motor vehicle collisions decreased in 2020 relative to 2016-2019 (17%), while overdoses relatively increased (70%) in 2020 compared to 2016-2019. Calls for patients assigned a higher acuity score increased (CTAS 1) (4.1% vs. 2.9%). CONCLUSION: We confirmed that overall, EMS calls have decreased since the emergence of COVID-19. However, this effect on call volume was not consistent across all call determinants, as some call types rose while others decreased. These findings indicate that COVID-19 may have led to actual changes in emergency medical service demand and will be of interest to other services planning for future pandemics or further waves of COVID-19.

Similarities and Differences Between Rural and Urban Telemedicine Utilization.

Telemedicine has traditionally been used in rural areas, but the recent development of mHealth solutions has led to a growth in urban telemedicine services. The aim of this study was to determine whether urban and rural patients in a large academic medical center use telemedicine to access different healthcare specialties at different rates. This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center. Visits were classified by clinical specialty. Teledermatology, child telepsychiatry, and adult telepsychiatry made up 97 percent of telemedicine visits. Rural patients were more likely to have multiple telehealth visits. A significant difference was observed between rural and urban use of telemedicine, both in terms of specialties and demographics. This suggests that health systems should consider adjusting resources and training to meet the different needs of these two populations. In particular, telemedicine may offer help for the nationwide maldistribution of adolescent psychiatry providers.

Demographic and medical school characteristics associated with urban versus rural dermatology practice: A national cross-sectional study.

There are significant disparities in access to dermatologists in rural areas relative to urban areas. We examined the associations between demographic and medical school characteristics and entry into dermatology practice in urban versus rural counties. All dermatologists who graduated from U.S. allopathic or osteopathic medical schools in the 2020 Centers for Medicare & Medicaid Services Physician Compare Database were assessed. Dermatology practice locations were coded as metropolitan or non-metropolitan according to the Rural-Urban Continuum Codes. Of 10,076 dermatologists, 543 (5.4%) practiced in non-metropolitan counties. Male gender (odds ratio [OR] 1.48, 95% CI 1.23-1.77), public medical school attendance (OR 1.94, 95% CI 1.61-2.34), DO degree (OR 1.84, 95% CI 1.32-2.51), medical school location in a non-metropolitan county (OR 5.41, 95% CI 3.66-7.84), and medical school rural track program (OR 1.57, 95% CI 1.07-2.26) were associated with higher odds of non-metropolitan dermatology practice. Our findings highlight that male gender, graduation from a non-metropolitan or public medical school, DO degree, and rural tracks are associated with higher likelihood of non-metropolitan dermatology practice. These results can inform efforts within the field of dermatology to strengthen the rural dermatologist workforce and suggest that rural educational experiences during medical school may increase recruitment of rural dermatologists.

Association between access to pediatric trauma care and motor vehicle crash death in children: An ecologic analysis of United States counties.

BACKGROUND: Access to pediatric trauma care is highly variable across the United States. The purpose of this study was to measure the association between pediatric trauma center care and motor vehicle crash (MVC) mortality in children (<15 years) at the US county level for 5 years (2014-2018). METHODS: The exposure was defined as the highest level of pediatric trauma care present within each county: (1) pediatric trauma center, (2) adult level 1/2, (3) adult level 3, or (4) no trauma center. Pediatric deaths due to passenger vehicle crashes on public roads were identified from the NHTSA Fatality Analysis Reporting System. Hierarchical negative binomial modeling measured the relationship between highest level of pediatric trauma care and pediatric MVC mortality within counties. Adjusted analyses accounted for population age and sex, emergency medical service response times, helicopter ambulance availability, state traffic safety laws, and measures of rurality. RESULTS: During the study period 3,067 children died in fatal crashes. We identified 188 pediatric trauma centers in 141 counties. Significant disparities in access to pediatric trauma care were observed. Specifically, 99% of pediatric trauma centers were situated in population-dense urban counties, while 28% of children lived in counties no trauma center. After risk adjustment, counties with pediatric trauma centers had significantly lower rates of pediatric MVC death than those with no trauma center: 0.7 versus 3.2 deaths/100,000 child-years; mortality rate ratio, 0.58; and 95% confidence interval, 0.39 to 0.86. In counties where pediatric trauma centers were absent, adult level 1/2 trauma centers were associated with comparable risk reduction. CONCLUSION: The presence of pediatric trauma centers was associated with lower rates of MVC death in children. Adult level 1/2 trauma centers appear to offer comparable risk reduction. Where population differences in pediatric trauma mortality are observed, addressing disparities in county-level access to pediatric trauma care may serve as a viable target for system-level improvement. LEVEL OF EVIDENCE: Epidemiological, level III; Care management, level III.

[Characteristics and evolution of COVID-19 in an urban Health Center at the pandemic beginning']. / Características y evolución de los pacientes COVID-19 en un centro de salud urbano al inicio de la pandemia.

OBJETIVE: To evaluate SAR-COV-2 pacients' features. To analyse de diferences between those who required hospital care and those who didn't. DESIGN: Observational, descriptive and retrospective study. SETTING: Twomedical practices of an urban health center in Salamanca (Spain). PARTICIPANTS: ≥18 years diagnosed with SAR-CoV-2 between March 11th and April 20th. MAIN MEASUREMENTS: clinical-epidemiological chatacteristics, diagnosis, treatment and outcome at the end of study RESULTS: 122 patients (63.9% female), 19.7% social and health care workers y 4.9% from nursing homes. Predominant age group: 46-60 years. 67.2% without comorbility. Predomint symptoms: low-grade fever (73.5%), cough (65.2%) y fever (43%). Average age of the patients requiring hospital care was higher: 59.85 (DE16.22) versus 50.78 (DE17.88) P=.013. 63.6% of all the patients monitored by Primary Health Care and 14.1% of patients that required assistance did not present dyspnea P=.001. Only 2.5% of the hospital-assisted patients, compared to 61.5% of Primary Health Care, were not tested P=.0001. 26 patients were attendedn at an emergency room: 11(9%) stayed and 2 (1.6%) passed away. No antibiotic or inhaler treatment for 52.5% and 70.5% respectively. The most used antipyretic treatment was paracetamol (78.7%). CONCLUSIONS: Prevalence in females, comorbility-free patients and in age range: 46-60 years. Complementary and confirmatory test were performed mainly in hospital care. Predominance of mild symptoms and favourable evolution. Highliting the role played by Primary Health Care in detection, early intervention and monitoring of severe cases.

Impact of COVID-19 pandemic on visits of an urban emergency department.

OBJECTIVE: The aim of this study was to reveal how the pandemic process affected the number of ED visits and the reasons for application. METHODS: The daily number of ED visits during the pandemic were analyzed in 3 different periods; prepandemic period (February 1st to March 11th, declaration of the first COVID-19 case in Turkey), early pandemic period (March 12th to May 31th, period of strict measures), and late pandemic period (June 1st to July 31st, period of new norms). The pandemic periods were compared with the same timeframes in 2019 (comparison periods). Demographic variables and complaints of the patients on admission were investigated. RESULTS: The total number of ED visits in the study period in 2020 was 78,907, which was only the half of the applications in the same period in 2019 (n: 149,387). Data showed a sharp decrease at the number of daily visits to green and yellow zones after the announcement of the first case however red zone applications were more than twice that of the previous year. During pandemic nonspecific complaints was decreased and there was an increase at the percentages of respiratory, cardiac, and neurological complaints. CONCLUSION: Number of ED visits during the pandemic were decreased by half when compared to the previous year. It was an advantage of the pandemic to decrease ED visits due to "nonemergent" complaints, and thus, unnecessary patient burden. However, on the other hand, patients avoided seeking medical attention, even for life-threatening conditions which led to increased mortality and morbidity.

Public health insurance and cancer-specific mortality risk among patients with breast cancer: A prospective cohort study in China.

Little is known about how health insurance policies, particularly in developing countries, influence breast cancer prognosis. Here, we examined the association between individual health insurance and breast cancer-specific mortality in China. We included 7436 women diagnosed with invasive breast cancer between 2009 and 2016, at West China Hospital, Sichuan University. The health insurance plan of patient was classified as either urban or rural schemes and was also categorized as reimbursement rate (ie, the covered/total charge) below or above the median. Breast cancer-specific mortality was the primary outcome. Using Cox proportional hazards models, we calculated hazard ratios (HRs) for cancer-specific mortality, contrasting rates among patients with a rural insurance scheme or low reimbursement rate to that of those with an urban insurance scheme or high reimbursement rate, respectively. During a median follow-up of 3.1 years, we identified 326 deaths due to breast cancer. Compared to patients covered by urban insurance schemes, patients covered by rural insurance schemes had a 29% increased cancer-specific mortality (95% CI 0%-65%) after adjusting for demographics, tumor characteristics and treatment modes. Reimbursement rate below the median was associated with a 42% increased rate of cancer-specific mortality (95% CI 11%-82%). Every 10% increase in the reimbursement rate is associated with a 7% (95% CI 2%-12%) reduction in cancer-specific mortality risk, particularly in patients covered by rural insurance schemes (26%, 95% CI 9%-39%). Our findings suggest that underinsured patients face a higher risk of breast cancer-specific mortality in developing countries.

Supporting and Protecting Residents Experiencing Homelessness in the Nation's Largest Cities During COVID-19.

Large urban health departments developed and implemented various approaches to prevent COVID-19 outbreaks and promote the health and well-being of individuals experiencing homelessness and housing insecurity throughout the pandemic. Reviewing the approaches of several large urban health departments, the most frequent practices included increasing housing options, on-the-ground outreach and resource allocation, and integrated communications. Key steps necessary to develop and implement these policies and procedures are discussed, and innovative approaches are highlighted.

Rural disparities in surgical care from gynecologic oncologists among Midwestern ovarian cancer patients.

OBJECTIVE: Up to one-third of women with ovarian cancer in the United States do not receive surgical care from a gynecologic oncologist specialist despite guideline recommendations. We aim to investigate the impact of rurality on receiving surgical care from a specialist, referral to a specialist, and specialist surgery after referral, and the consequences of specialist care. METHODS: We utilized a retrospective cohort created through an extension of standard cancer surveillance in three Midwestern states. Multivariable adjusted logistic regression was utilized to assess gynecologic oncologist treatment of women 18-89 years old, who were diagnosed with primary, histologically confirmed, malignant ovarian cancer in 2010-2012 in Kansas, Missouri and Iowa by rurality. RESULTS: Rural women were significantly less likely to receive surgical care from a gynecologic oncologist specialist (adjusted odds ratio (OR) 0.37, 95% confidence interval (CI) 0.24-0.58) and referral to a specialist (OR 0.37, 95% CI 0.23-0.59) compared to urban women. There was no significant difference in specialist surgery after a referral (OR 0.56, 95% CI 0.26-1.20). Rural women treated surgically by a gynecologic oncologist versus non-specialist were more likely to receive cytoreduction and more complete tumor removal to ≤1 cm. CONCLUSION: There is a large rural-urban difference in receipt of ovarian cancer surgery from a gynecologic oncologist specialist (versus a non-specialist). Disparities in referral rates contribute to the rural-urban difference. Further research will help define the causes of referral disparities, as well as promising strategies to address them.

Preparedness of health facilities providing HIV services during COVID-19 pandemic and assessment of their compliance to COVID-19 prevention measures: findings from the Tanzania Service Provision Assessment (SPA) survey.

INTRODUCTION: the increased demands of health facilities and workers due to coronavirus overwhelm the already burdened Tanzanian health systems. This study evaluates the current capacity of facilities and providers for HIV care and treatment services and their preparedness to adhere to the national and global precaution guidelines for HIV service providers and patients. METHODS: data for this study come from the latest available, Tanzania Service Provision Assessment survey 2014-15. Frequencies and percentages described the readiness and availability of HIV services and providers. Chi-square test compared the distribution of services by facility location and availability and readiness of precaution commodities and HIV services by managing authorities. RESULTS: availability of latex gloves was high (83% at OPD and 95.3% laboratory). Availability of medical masks, alcohol-based hand rub and disinfectants was low. Availability of medical mask at outpatient department (OPD) was 28.7% urban (23.5% public; 33.8% private, p=0.02) and 13.5% rural (10.1% public; 25.4% private, p=0.001) and lower at laboratories. Fewer facilities in rural area (68.4%) had running water in OPD than urban (86.3%). Higher proportions of providers at public than private facilities in urban (82.8% versus 73.1%) and rural (88.2% versus 81.6%) areas provided HIV test counseling and at least two other HIV services. CONCLUSION: availability of commodities such as medical masks, alcohol-based hand rub, and disinfectant was low while the readiness of providers to multitask HIV related services was high. Urgent distribution and re-assessment of these supplies are necessary, to protect HIV patients, their caregivers, and health providers from COVID-19.

Eliciting women's preferences for place of child birth at a peri-urban setting in Nairobi, Kenya: A discrete choice experiment.

OBJECTIVE: Maternal and newborn mortality rates are high in peri-urban areas in cities in Kenya, yet little is known about what drives women's decisions on where to deliver. This study aimed at understanding women's preferences on place of childbirth and how sociodemographic factors shape these preferences. METHODS: This study used a Discrete Choice Experiment (DCE) to quantify the relative importance of attributes on women's choice of place of childbirth within a peri-urban setting in Nairobi, Kenya. Participants were women aged 18-49 years, who had delivered at six health facilities. The DCE consisted of six attributes: cleanliness, availability of medical equipment and drug supplies, attitude of healthcare worker, cost of delivery services, the quality of clinical services, distance and an opt-out alternative. Each woman received eight questions. A conditional logit model established the relative strength of preferences. A mixed logit model was used to assess how women's preferences for selected attributes changed based on their sociodemographic characteristics. RESULTS: 411 women participated in the Discrete Choice Experiment, a response rate of 97.6% and completed 20,080 choice tasks. Health facility cleanliness was found to have the strongest association with choice of health facility (ß = 1.488 p<0.001) followed respectively by medical equipment and supplies availability (ß = 1.435 p<0.001). The opt-out alternative (ß = 1.424 p<0.001) came third. The attitude of the health care workers (ß = 1.347, p<0.001), quality of clinical services (ß = 0.385, p<0.001), distance (ß = 0.339, p<0.001) and cost (ß = 0.0002 p<0.001) were ranked 4th to 7th respectively. Women who were younger and were the main income earners having a stronger preference for clean health facilities. Older married women had stronger preference for availability of medical equipment and kind healthcare workers. CONCLUSIONS: Women preferred both technical and process indicators of quality of care. DCE's can lead to the development of person-centered strategies that take into account the preferences of women to improve maternal and newborn health outcomes.

Assessing clinical quality performance and staffing capacity differences between urban and rural Health Resources and Services Administration-funded health centers in the United States: A cross sectional study.

BACKGROUND: In the United States, there are nearly 1,400 Health Resources and Services Administration-funded health centers (HCs) serving low-income and underserved populations and more than 600 of these HCs are located in rural areas. Disparities in quality of medical care in urban vs. rural areas exist but data on such differences between urban and rural HCs is limited in the literature. We examined whether urban and rural HCs differed in their performance on clinical quality measures before and after controlling for patient, organizational, and contextual characteristics. METHODS AND FINDINGS: We used the 2017 Uniform Data System to examine performance on clinical quality measures between urban and rural HCs (n = 1,373). We used generalized linear regression models with the logit link function and binomial distribution, controlling for confounding factors. After adjusting for potential confounders, we found on par performance between urban and rural HCs in all but one clinical quality measure. Rural HCs had lower rates of linking patients newly diagnosed with HIV to care (74% [95% CI: 69%, 80%] vs. 83% [95% CI: 80%, 86%]). We identified control variables that systematically accounted for eliminating urban vs. rural differences in performance on clinical quality measures. We also found that both urban and rural HCs had some clinical quality performance measures that were lower than available national benchmarks. Main limitations included potential discrepancy of urban or rural designation across all HC sites within a HC organization. CONCLUSIONS: Findings highlight HCs' contributions in addressing rural disparities in quality of care and identify opportunities for improvement. Performance in both rural and urban HCs may be improved by supporting programs that increase the availability of providers, training, and provision of technical resources.