The Correlation Between Poverty and Access to Essential Surgical Care in Ghana: A Geospatial Analysis.
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ABSTRACT:
SUBMITTER: Tansley G
PROVIDER: S-EPMC5558014 | biostudies-other | 2017 Mar
REPOSITORIES: biostudies-other
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Project description:Access to general dental care is essential for preventing and treating oral diseases. To ensure adequate spatial accessibility for the most vulnerable populations, New York State mandates a ratio of one general dentist to 2000 Medicaid recipients within 30 min of public transportation. This study employed geospatial methods to determine whether the requirement is met in Manhattan by verifying the online directories of ten New York managed care organizations (MCOs), which collectively presented 868 available dentists from 259 facilities. Our survey of 118 dental facilities representing 509 dentists revealed that significantly fewer dentists are available to treat Medicaid recipients compared to MCO directories. The average dentist-to-patient ratio derived from the MCO listings by the Two-Step Floating Catchment Area (2SFCA) method was 1:315, while the average verified ratio was only 1:1927. "Phantom networks", or inaccurate provider listings, substantially overstated Medicaid dental accessibility. Surprisingly, our study also discovered additional Medicaid providers unlisted in any MCO directory, which we coined "hidden networks". However, their inclusion was inconsequential to the overall dental supply. We further scrutinized dental care access by uniquely applying six "patient-centered characteristics", and these criteria vastly reduced accessibility to an average ratio of merely 1:4587. Our novel evaluation of the spatial association between poverty, dental care access, and phantom networks suggests that Medicaid dental providers wish to be located in wealthier census tracts that are in proximity to impoverished areas for maximum profitability. Additionally, we discovered that poverty and phantom networks were positively correlated, and phantom providers masked a lack of dental care access for Medicaid recipients.
| S-EPMC8656799 | biostudies-literature
Project description:ImportanceConditions that can be treated by surgery comprise more than 16% of the global disease burden. However, 5 billion people do not have access to essential surgical care. An estimated 90% of the 87 million disability-adjusted life-years incurred by surgical conditions could be averted by providing access to timely and safe surgery in low-income and middle-income countries. Population-level spatial access to essential surgery in Ghana is not known.ObjectivesTo assess the performance of bellwether procedures (ie, open fracture repair, emergency laparotomy, and cesarean section) as a proxy for performing essential surgery more broadly, to map population-level spatial access to essential surgery, and to identify first-level referral hospitals that would most improve access to essential surgery if strengthened in Ghana.Design, setting, and participantsPopulation-based study among all households and public and private not-for-profit hospitals in Ghana. Households were represented by georeferenced census data. First-level and second-level referral hospitals managed by the Ministry of Health and all tertiary hospitals were included. Surgical data were collected from January 1 to December 31, 2014.Main outcomes and measuresAll procedures performed at first-level referral hospitals in Ghana in 2014 were used to sort each facility into 1 of the following 3 hospital groups: those without capability to perform all 3 bellwether procedures, those that performed 1 to 11 of each procedure, and those that performed at least 12 of each procedure. Candidates for targeted capability improvement were identified by cost-distance and network analysis.ResultsOf 155 first-level referral hospitals managed by the Ghana Health Service and the Christian Health Association of Ghana, 123 (79.4%) reported surgical data. Ninety-five (77.2%) did not have the capability in 2014 to perform all 3 bellwether procedures, 24 (19.5%) performed 1 to 11 of each bellwether procedure, and 4 (3.3%) performed at least 12. The essential surgical procedure rate was greater in bellwether procedure-capable first-level referral hospitals than in noncapable hospitals (median, 638; interquartile range, 440-1418 vs 360; interquartile range, 0-896 procedures per 100 000 population; P = .03). Population-level spatial access within 2 hours to a hospital that performed 1 to 11 and at least 12 of each bellwether procedure was 83.2% (uncertainty interval [UI], 82.2%-83.4%) and 71.4% (UI, 64.4%-75.0%), respectively. Five hospitals were identified for targeted capability improvement.Conclusions and relevanceAlmost 30% of Ghanaians cannot access essential surgery within 2 hours. Bellwether capability is a useful metric for essential surgery more broadly. Similar strategic planning exercises might be useful for other low-income and middle-income countries aiming to improve access to essential surgery.
| S-EPMC5577012 | biostudies-literature
Project description:BackgroundThe global burden of disease in children is large and disproportionally affects low-income and middle-income countries (LMICs). Geospatial analysis offers powerful tools to quantify and visualise disparities in surgical care in LMICs. Our study aims to analyse the geographical distribution of paediatric surgical conditions and to evaluate the geographical access to surgical care in Somaliland.MethodsUsing the Surgeons OverSeas Assessment of Surgical Need survey and a combined survey from the WHO's (WHO) Surgical Assessment Tool-Hospital Walkthrough and the Global Initiative for Children's Surgery Global Assessment in Paediatric Surgery, we collected data on surgical burden and access from 1503 children and 15 hospitals across Somaliland. We used several geospatial tools, including hotspot analysis, service area analysis, Voronoi diagrams, and Inverse Distance Weighted interpolation to estimate the geographical distribution of paediatric surgical conditions and access to care across Somaliland.ResultsOur analysis suggests less than 10% of children have timely access to care across Somaliland. Patients could travel up to 12 hours by public transportation and more than 2 days by foot to reach surgical care. There are wide geographical disparities in the prevalence of paediatric surgical conditions and access to surgical care across regions. Disparities are greater among children travelling by foot and living in rural areas, where the delay to receive surgery often exceeds 3 years. Overall, Sahil and Sool were the regions that combined the highest need and the poorest surgical care coverage.ConclusionOur study demonstrated wide disparities in the distribution of surgical disease and access to surgical care for children across Somaliland. Geospatial analysis offers powerful tools to identify critical areas and strategically allocate resources and interventions to efficiently scale-up surgical care for children in Somaliland.
| S-EPMC8296779 | biostudies-literature
Project description:ObjectiveTo examine endometrial cancer survivors' access to recommended obesity-related self-care resources.MethodsParticipants included women treated 2010-2015 for endometrial cancer at an academic medical center who lived in the surrounding 16 ZIP code area on Chicago's South Side. Demographic and health data were abstracted from medical records. A socioeconomic status (SES) score (SES-1 = low, SES-5 = high) was generated for each patient using census block group-level data. Self-care resources for exercise, healthy weight, and diet were obtained from a community resource census. Geospatial techniques assessed "walkable access" (~½-mile radius around a patient's home) to obesity-related resources. Multivariable logistic regression investigated associations between access to obesity-related resources and patient characteristics.ResultsOf 195 endometrial cancer survivors, 81% identified as Black/African American and 34% lived in an SES-1 census block. Two thirds (68%) had Stage I or II endometrial cancer. Nearly two thirds (62%) were obese (BMI ≥ 30 kg/m2). Obesity was inversely associated with SES (p = 0.05). Two thirds of survivors had access to at least one of all three recommended resource types. Access was lower in low SES regions and among Black/African American women. Lower SES was associated with lower odds of walkable access to recommended resources (AOR for access to two of each resource type 0.75, 95%CI 0.59, 0.97; AOR for access to three or more of each 0.44, 95%CI 0.32, 0.61).ConclusionsObesity rates were higher and access to recommended resources was lower for Black/African American endometrial cancer survivors living in high poverty areas in Chicago.
| S-EPMC7584113 | biostudies-literature
Project description:BackgroundGhana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana.MethodsThe study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant.ResultsPopulation density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63-7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19-3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30-1.69, p < 0.05].ConclusionNeonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women's nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.
| S-EPMC7953754 | biostudies-literature
Project description:BackgroundThe World Health Organization (WHO) Tool for Situational Analysis to Assess Emergency and Essential Surgical Care (hereafter called the WHO Tool) has been used in more than 25 countries and is the largest effort to assess surgical care in the world. However, it has not yet been independently validated. Test-retest reliability is one way to validate the degree to which tests instruments are free from random error. The aim of the present field study was to determine the test-retest reliability of the WHO Tool.MethodsThe WHO Tool was mailed to 10 district hospitals in Ghana. Written instructions were provided along with a letter from the Ghana Health Services requesting the hospital administrator to complete the survey tool. After ensuring delivery and completion of the forms, the study team readministered the WHO Tool at the time of an on-site visit less than 1 month later. The results of the two tests were compared to calculate kappa statistics for each of the 152 questions in the WHO Tool. The kappa statistic is a statistical measure of the degree of agreement above what would be expected based on chance alone.ResultsTen hospitals were surveyed twice over a short interval (i.e., less than 1 month). Weighted and unweighted kappa statistics were calculated for 152 questions. The median unweighted kappa for the entire survey was 0.43 (interquartile range 0-0.84). The infrastructure section (24 questions) had a median kappa of 0.81; the human resources section (13 questions) had a median kappa of 0.77; the surgical procedures section (67 questions) had a median kappa of 0.00; and the emergency surgical equipment section (48 questions) had a median kappa of 0.81.ConclusionsHospital capacity survey questions related to infrastructure characteristics had high reliability. However, questions related to process of care had poor reliability and may benefit from supplemental data gathered by direct observation. Limitations to the study include the small sample size: 10 district hospitals in a single country. Consistent and high correlations calculated from the field testing within the present analysis suggest that the WHO Tool for Situational Analysis is a reliable tool where it measures structure and setting, but it should be revised for measuring process of care.
| S-EPMC3032911 | biostudies-literature
Project description:BackgroundIn conflict settings, data to guide humanitarian and development responses are often scarce. Although geospatial analyses have been used to estimate health-care access in many countries, such techniques have not been widely applied to inform real-time operations in protracted health emergencies. Doing so could provide a more robust approach for identifying and prioritising populations in need, targeting assistance, and assessing impact. We aimed to use geospatial analyses to overcome such data gaps in Yemen, the site of one of the world's worst ongoing humanitarian crises.MethodsWe derived geospatial coordinates, functionality, and service availability data for Yemen health facilities from the Health Resources and Services Availability Monitoring System assessment done by WHO and the Yemen Ministry of Public Health and Population. We modelled population spatial distribution using high-resolution satellite imagery, UN population estimates, and census data. A road network grid was built from OpenStreetMap and satellite data and modified using UN Yemen Logistics Cluster data and other datasets to account for lines of conflict and road accessibility. Using this information, we created a geospatial network model to deduce the travel time of Yemeni people to their nearest health-care facilities.FindingsIn 2018, we estimated that nearly 8·8 million (30·6%) of the total estimated Yemeni population of 28·7 million people lived more than 30-min travel time from the nearest fully or partially functional public primary health-care facility, and more than 12·1 million (42·4%) Yemeni people lived more than 1 h from the nearest fully or partially functional public hospital, assuming access to motorised transport. We found that access varied widely by district and type of health service, with almost 40% of the population living more than 2 h from comprehensive emergency obstetric and surgical care. We identified and ranked districts according to the number of people living beyond acceptable travel times to facilities and services. We found substantial variability in access and that many front-line districts were among those with the poorest access.InterpretationThese findings provide the most comprehensive estimates of geographical access to health care in Yemen since the outbreak of the current conflict, and they provide proof of concept for how geospatial techniques can be used to address data gaps and rigorously inform health programming. Such information is of crucial importance for humanitarian and development organisations seeking to improve effectiveness and accountability.FundingGlobal Financing Facility for Women, Children, and Adolescents Trust Fund; Development and Data Science grant; and the Yemen Emergency Health and Nutrition Project, a partnership between the World Bank, UNICEF, and WHO.
| S-EPMC7561303 | biostudies-literature
Project description:BackgroundGlobally, about 810 women die every day due to pregnancy and its related complications. Although the death of women during pregnancy or childbirth has declined from 342 deaths to 211 deaths per 100,000 live births between 2000 and 2017, maternal mortality is still higher, particularly in sub-Saharan Africa and South Asia, where 86% of all deaths occur.MethodsA secondary analysis was carried out using the 2014 Ghana Demographic and Health Survey. A sample total of 4,290 women who had a live birth in the 5 years preceding the survey was included in the analysis. GIS software was used to explore the spatial distribution of unskilled birth attendance in Ghana. The Geographic Weighted Regression (GWR) was employed to model the spatial relationship of some predictor of unskilled birth attendance. Moreover, a multilevel binary logistic regression model was fitted to identify factors associated with unskilled birth attendance.ResultsIn this study, unskilled birth attendance had spatial variations across the country. The hotspot, cluster and outlier analysis identified the concerned districts in the north-eastern part of Ghana. The GWR analysis identified different predictors of unskilled birth attendance across districts of Ghana. In the multilevel analysis, mothers with no education, no health insurance coverage, and mothers from households with lower wealth status had higher odds of unskilled birth attendance. Being multi and grand multiparous, perception of distance from the health facility as not a big problem, urban residence, women residing in communities with medium and higher poverty level had lower odds of unskilled birth attendance.ConclusionUnskilled birth attendance had spatial variations across the country. Areas with high levels of unskilled birth attendance had mothers who had no formal education, not health insured, mothers from poor households and communities, primiparous women, mothers from remote and border districts could get special attention in terms of allocation of resources including skilled human power, and improved access to health facilities.
| S-EPMC8232528 | biostudies-literature
Project description:More than 2 billion people are unable to receive surgical care based on operating theatre density alone. The vision of the Lancet Commission on Global Surgery is universal access to safe, affordable surgical and anaesthesia care when needed. We aimed to estimate the number of individuals worldwide without access to surgical services as defined by the Commission's vision.We modelled access to surgical services in 196 countries with respect to four dimensions: timeliness, surgical capacity, safety, and affordability. We built a chance tree for each country to model the probability of surgical access with respect to each dimension, and from this we constructed a statistical model to estimate the proportion of the population in each country that does not have access to surgical services. We accounted for uncertainty with one-way sensitivity analyses, multiple imputation for missing data, and probabilistic sensitivity analysis.At least 4·8 billion people (95% posterior credible interval 4·6-5·0 [67%, 64-70]) of the world's population do not have access to surgery. The proportion of the population without access varied widely when stratified by epidemiological region: greater than 95% of the population in south Asia and central, eastern, and western sub-Saharan Africa do not have access to care, whereas less than 5% of the population in Australasia, high-income North America, and western Europe lack access.Most of the world's population does not have access to surgical care, and access is inequitably distributed. The near absence of access in many low-income and middle-income countries represents a crisis, and as the global health community continues to support the advancement of universal health coverage, increasing access to surgical services will play a central role in ensuring health care for all.None.
| S-EPMC4820251 | biostudies-literature
Project description:Women in developing countries might experience certain barriers to care more frequently than men. We aimed to describe barriers to essential surgical care that women face in five communities in Ghana.Questions regarding potential barriers were asked during surgical outreaches to five communities in the northernmost regions of Ghana. Responses were scored in three dimensions from 0 to 18 (i.e., 'acceptability,' 'affordability,' and 'accessibility'; 18 implied no barriers). A barrier to care index out of 10 was derived (10 implied no barriers). An open-ended question to elicit gender-specific barriers was also asked.Of the 320 participants approached, 315 responded (response rate 98 %); 149 were women (47 %). Women had a slightly lower barriers to surgical care index (median index 7.4; IQR 3.9-9.1) than men (7.9; IQR 3.9-9.4; p?=?0.002). Compared with men, women had lower accessibility and acceptability dimension scores (14.4/18 vs 14.4/18; p?=?0.001 and 13.5/18 vs 14/18; p?=?0.05, respectively), but similar affordability scores (13.5/18 vs 13.5/18; p?=?0.13). Factors contributing to low dimension scores among women included fear of anesthesia, lack of social support, and difficulty navigating healthcare, as well as lack of hospital privacy and confidentiality.Women had a slightly lower barriers to surgical care index than men, which may indicate greater barriers to surgical care. However, the actual significance of this difference is not yet known. Community-level education regarding the safety and benefits of essential surgical care is needed. Additionally, healthcare facilities must ensure a private and confidential care environment. These interventions might ameliorate some barriers to essential surgical care for women in Ghana, as well as other LMICs more broadly.
| S-EPMC4882854 | biostudies-other