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Geographic assessment of access to health care in patients with cardiovascular disease in South Africa.

ABSTRACT: Noncommunicable diseases (NCDs) including cardiovascular diseases (CVDs), diabetes, cancer and chronic lung disease are increasingly emerging as major contributors to morbidity and mortality in developing countries. For example, in South Africa, 195 people died per day between 1997 and 2004 from CVDs related causes. Access to efficient and effective health facility and care is an important contributing factor to overall population health and addressing prognosis, care and management CVD disease burden. This study aimed to spatially evaluate geographic health care access of people diagnosed with CVD to health facilities and to evaluate the density of the existing health facility network in South Africa.Data was obtained from the National Income Dynamics Study (NIDS) conducted in 4 waves (phases) between 2008 and 2014. The participants who responded as having heart problems that were diagnosed by a health practitioner were extracted for use in this study. Network analyst in ArcGIS ® was used to generate a least-cost path, which refers to the best path that one can travel. The residential locations of participants diagnosed with heart problems were put into the network analysis model as origins and the location of health facilities were destinations. District averages were used to protect the identity of studied participants.There were a total of 51, 42, 43, 43 health districts out the 52 that had recorded subjects with a heart condition in the 2008, 2010-2011, 2012 and 2014-2015 waves, respectively. The mean distance from a case household to a health facility per wave was 2, 2.3, 2.1 and 2.1 km in 2008, 2010-2011 and 2014-2015 respectively. The maximum individual distances travelled per wave were 41.4 km, 40,5 km, 44,2 km and 39.6 km for the 2008, 2010-2011, 2012 and 2014-2015 waves respectively. For district level analysis, participants with CVD residing in the districts found to be among the poorest in the country travelled the longest distances. These were located in the provinces of Limpopo and KwaZulu Natal. It was also found that districts with large proportions of their population living in rural settings had among the lowest densities of health facilities. Significant percentages of study participants were exposed to numerous CVD risk factors, the commonly reported one being high blood pressure. A lack of regular exercise was also commonly reported in each of the waves.A lack of accessible healthcare in already impoverished municipalities could result in an increase lack of timely diagnosis, CVD case management. This could result in increased CVD-related morbidity and mortality. GIS methods have the potential to assist national health programs to develop policies that target issues such as areas or populations being underserved by health facilities and populations that must travel long distances to receive healthcare. These policies will be key in preventing and controlling the emerging CVD burden through an accessible primary healthcare system for early detection and case management.

SUBMITTER: Kapwata T

PROVIDER: S-EPMC5863828 | biostudies-other | 2018 Mar

REPOSITORIES: biostudies-other

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Geographic assessment of access to health care in patients with cardiovascular disease in South Africa.

Kapwata Thandi T Manda Samuel S

BMC health services research 20180322 1

<h4>Background</h4>Noncommunicable diseases (NCDs) including cardiovascular diseases (CVDs), diabetes, cancer and chronic lung disease are increasingly emerging as major contributors to morbidity and mortality in developing countries. For example, in South Africa, 195 people died per day between 1997 and 2004 from CVDs related causes. Access to efficient and effective health facility and care is an important contributing factor to overall population health and addressing prognosis, care and mana ...[more]

PMID: 29566692

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Project description:BackgroundRheumatic Heart Disease (RHD) is a disease of poverty that is neglected in developing countries, including South Africa. Lack of adequate evidence regarding the cost of RHD care has hindered national and international actions to prevent RHD related deaths. The objective of this study was to estimate the cost of RHD-related health services in a tertiary hospital in the Western Cape, South Africa.MethodsThe primary data on service utilisation were collected from a randomly selected sample of 100 patient medical records from the Global Rheumatic Heart Disease Registry (the REMEDY study) - a registry of individuals living with RHD. Patient-level clinical data, including, prices and quantities of medications and laboratory tests, were collected from the main tertiary hospital providing RHD care. All annual costs from a health system perspective were estimated in 2017 (base year) in South African Rand (ZAR) using a combination of ingredients and step-down costing approaches and later converted to United States dollars (USD). Step-down costing was used to estimate provider time costs and all other facility costs such as overheads. A 3% discount rate was also employed in order to allow depreciation and opportunity cost. We aggregated data to estimate the total annual costs and the average annual per-patient cost of RHD and conducted a one-way sensitivity analysis.ResultsThe estimated total cost of RHD care at the tertiary hospital was USD 2 million (in 2017 USD) for the year 2017, with surgery costs accounting for 65%. Per-patient, average annual costs were USD 3900. For the subset of costs estimated using the ingredients approach, outpatient medications, and consumables related to cardiac catheterisation and heart valve surgery were the main cost drivers.ConclusionsRHD-related healthcare consumes significant tertiary hospital resources in South Africa, with annual per-patient costs higher than many other non-communicable and infectious diseases. This analysis supports the scaling up of primary and secondary prevention programmes at primary health centers in order to reduce future tertiary care costs. The study could also inform resource allocation efforts and provide cost estimates for future studies of intervention cost-effectiveness.

Project description:Background:Time-critical conditions (TCC) are estimated to cause substantial mortality in low and middle-income countries. However, quantification of deaths and identification of contributing factors to those deaths are challenging in settings with poor health records. Aim:To use verbal autopsy (VA) data from the Agincourt health and sociodemographic surveillance system in rural South Africa to quantify the burden of deaths from TCC and to evaluate the barriers in seeking, reaching and receiving quality care for TCC leading to death. Methodology:Deaths from 1993 to 2015 were analysed to identify causality from TCC. Deaths due to TCC were categorised as communicable, non-communicable, maternal, neonatal or injury-related. Proportion of deaths from TCC by age, sex, condition type and temporal trends was described. Deaths due to TCC from 2012 to 2015 were further examined by circumstances of mortality (CoM) indicators embedded in VA. Healthcare access, at illness onset and during the final day of life, as well as place of death, was extracted from free text summaries. Summaries were also analysed qualitatively using a Three Delays framework to identify barriers to healthcare. Results:Of 15?305 deaths, 5885 (38.45%) were due to TCC. Non-communicable diseases were the most prevalent cause of death from TCC (2961/5885 cases, 50.31%). CoM indicators highlighted delays in a quarter of deaths due to TCC, most frequently in seeking care. The most common pattern of healthcare access was to die outwith a facility, having sought no healthcare (409/1324 cases, 30.89%). Issues in receipt of quality care were identified by qualitative analysis. Conclusion:TCCs are responsible for a substantial burden of deaths in this rural South African population. Delays in seeking and receiving quality care were more prominent than those in reaching care, and thus further research and solution development should focus on healthcare-seeking behaviour and quality care provision.

Project description:BackgroundIncidence of stroke is increasing in sub-Saharan Africa. People who survive stroke experience disability and require long-term care. Health systems in South Africa (SA) are experiencing important challenges, and services in the public health system for people with stroke (PWS) are fragmented. We aimed to explore the perspectives and experiences of PWS related to stroke care services to inform health system strengthening measures.MethodsIn-depth interviews with 16 PWS in urban and rural areas in the Western and Eastern Cape Provinces of SA were conducted between August and October 2020. PWS were recruited through existing research networks, non-government organisations and organisations of persons with disabilities by snowball sampling. Interviews were transcribed, coded, and thematically analysed. We used the conceptual framework of access to health care as proposed by Levesque et al. to map and inform barriers to accessing health care from the user perspective.ResultsPWS recognised the need for health care when they experienced signs of acute stroke. Health literacy on determinants of stroke was low. Challenges to accessing stroke care include complex pathways to care, physical mobility related to stroke, long travel distances and limited transport options, waiting times and out of pocket expenses. The perceived quality of services was influenced by cultural beliefs, attitudinal barriers, and information challenges. Some PWS experienced excellent care and others particularly poor care. Positive staff attitude, perceived competence and trustworthiness went in hand with many technical and interpersonal deficits, such as long waiting times and poor staff attitude that resulted in poor satisfaction and reportedly poor outcomes for PWS.ConclusionsStrategic leadership, governance and better resources at multiple levels are required to address the unmet demands and needs for health care of PWS. Stroke care could be strengthened by service providers routinely providing information about prevention and symptoms of stroke, treatment, and services to patients and their social support network. The role of family members in continuity of care could be strengthened by raising awareness of existing resources and referral pathways, and facilitating connections within services.

Project description:BACKGROUND:In South Africa, diet-related non-communicable diseases (dr-NCDs) place a significant burden on individuals, households and the health system. In this article, we investigate the experiences of eight key informants within the public sector health care system (nurse, doctor and dietician), in order to reflect on their experiences treating dr-NCDs. METHODS:We interviewed eight key informants who were central to the primary care service for at least 40,000 people living in a low-income neighbourhood of Cape Town, South Africa. In previous work, we had interviewed and conducted ethnographic research focused on dr-NCDs in the same neighbourhood. We then conducted a thematic analysis of these interviews. RESULTS:The perspectives of key informants within the public sector therefore offered insights into tensions and commonalities between individual, neighbourhood and health systems perspectives. In particular, the rising prevalence of dr-NCDs alarmed providers. They identified changing diet as an important factor driving diabetes and high blood pressure in particular. Health care practitioners focused primarily on patients' individual responsibility to eat a healthy diet and adhere to treatment. A marked lack of connection between health and social services at the local level, and a shortage of dieticians, meant that doctors provided rapid, often anecdotal dietary advice. The single dietician for the district was ill-equipped to connect dr-NCDs with the upstream determinants of health. While providers often had empathy and understanding of patients' circumstances, their training and context had not equipped them to translate that understanding into a clinical context. Providers seemingly could not reconcile their empathy with their perception of dr-NCDs as a failure of prudence or responsibility by patients. Significant shortcomings within health systems and social services make reflexive practice very difficult. CONCLUSIONS:Supporting health care providers in understanding context, through approaches such as translational competency, while strengthening both health and social services, are vital given the high burden of NCDs in South Africa.

Project description:BACKGROUND:Globally, female sex workers (FSWs) are considered a key population group due to the high HIV prevalence. Studies show that there are various factors in some contexts that render FSWs marginalised, which limits their access to sexual reproductive health (SRH) services. Access to SRH services are particularly challenging in countries where sex work is criminalised such as is the case in South Africa. Evidently, there are alternative ways in which FSWs in this context receive non-stigmatising SRH care through non-governmental organisations. The aim of this study was to understand the functioning of these non-governmental health care services as well as to document the experiences of FSWs utilising these services. METHODS:Eleven focus group discussions were held with 91 FSWs. In addition, 21 in-depth individual interviews with researchers, stakeholders and FSWs were conducted. Interview guides were utilised for data collection. Informed consent was obtained from all participants. Data were analysed thematically. RESULTS:The FSWs expressed challenges related to SRH care access at public health facilities. The majority felt that they could not consult for SRH-related services because of stigma. The non-governmental health and advocacy organisations providing SRH services to FSWs through their mobile facilities utilising the peer approach, have done so in a way that promotes trust between FSWs and mobile health care providers. FSWs have access to tailored services, prevention materials as well as health information. This has resulted in the normalising of HIV testing as well as SRH seeking behaviours. CONCLUSION:This study has established that health and advocacy organisations have attempted to fill the gap in responding to SRH care needs of FSWs amidst intersecting vulnerabilities. FSWs' engagement with these organisations has encouraged their willingness to test for HIV. However, it is important to note that these organisations operate in urban areas, thus FSWs operating outside these areas are most likely exposed to compounding health risks and lack access to tailored services.

Project description:ObjectivesCardiovascular diseases are the second leading cause of mortality behind HIV/AIDS in South Africa. This study investigates cardiovascular disease mortality trends in rural South Africa over 20+ years and the associated barriers to accessing care, using verbal autopsy data.DesignA mixed-methods approach was used, combining descriptive analysis of mortality rates over time, by condition, sex and age group, quantitative analysis of circumstances of mortality (CoM) indicators and free text narratives of the final illness, and qualitative analysis of free texts.SettingThis study was done using verbal autopsy data from the Health and Socio-Demographic Surveillance System site in Agincourt, rural South Africa.ParticipantsDeaths attributable to cardiovascular diseases (acute cardiac disease, stroke, renal failure and other unspecified cardiac disease) from 1993 to 2015 were extracted from verbal autopsy data.ResultsBetween 1993 and 2015, of 15 305 registered deaths over 1 851 449 person-years of follow-up, 1434 (9.4%) were attributable to cardiovascular disease, corresponding to a crude mortality rate of 0.77 per 1000 person-years. Cardiovascular disease mortality rate increased from 0.34 to 1.12 between 1993 and 2015. Stroke was the dominant cause of death, responsible for 41.0% (588/1434) of all cardiovascular deaths across all years. Cardiovascular disease mortality rate was significantly higher in women and increased with age. The main delays in access to care during the final illness were in seeking and receiving care. Qualitative free-text analysis highlighted delays not captured in the CoM, principally communication between the clinician and patient or family. Half of cases initially sought care outside a hospital setting (50.9%, 199/391).ConclusionsThe temporal increase in deaths due to cardiovascular disease highlights the need for greater prevention and management strategies for these conditions, particularly for the women. Strategies to improve seeking and receiving care during the final illness are needed.

Project description:Importance:With the future of the Affordable Care Act and Medicaid program unclear, it is critical to examine the geographic availability of specialty mental health treatment resources that serve low-income populations across local communities. Objectives:To examine the geographic availability of community-based specialty mental health treatment resources and how these resources are distributed by community socioeconomic status. Design, Setting, and Participants:Measures of the availability of specialty mental health treatment resources were derived using national data for 31?836 zip code tabulation areas from 2013 to 2015. Analyses examined the association between community socioeconomic status (assessed by median household income quartiles) and resource availability using logistic regressions. Models controlled for zip code tabulation area-level demographic characteristics and state indicators. Main Outcomes and Measures:Dichotomous indicators for whether a zip code tabulation area had any (1) outpatient mental health treatment facility (more than nine-tenths of which offer payment arrangements for low-income populations), (2) office-based practice of mental health specialist physician(s), (3) office-based practice of nonphysician mental health professionals (eg, therapists), and (4) mental health facility or office-based practice (ie, any community-based resource). Results:Of the 31?836 zip code tabulation areas in the study, more than four-tenths (3382 of 7959 [42.5%]) of communities in the highest income quartile (mean income, $81?207) had any community-based mental health treatment resource vs 23.1% of communities (1841 of 7959) in the lowest income quartile (mean income, $30?534) (adjusted odds ratio, 1.74; 95% CI, 1.50-2.03). When examining the distribution of mental health professionals, 25.3% of the communities (2014 of 7959) in the highest income quartile had a mental health specialist physician practice vs 8.0% (637 of 7959) of those in the lowest income quartile (adjusted odds ratio, 3.04; 95% CI, 2.53-3.66). Similarly, 35.1% of the communities (2792 of 7959) in the highest income quartile had a nonphysician mental health professional practice vs 12.9% (1029 of 7959) of those in the lowest income quartile (adjusted odds ratio, 2.77; 95%, 2.35-3.26). In contrast, outpatient mental health treatment facilities were less likely to be located in the communities in the highest vs lowest income quartiles (12.9% [1025 of 7959] vs 16.5% [1317 of 7959]; adjusted odds ratio, 0.43; 95% CI, 0.37-0.51). More than seven-tenths of the lowest income communities with any resource (71.5% [1317 of 1841]) had an outpatient mental health treatment facility. Conclusions and Relevance:Mental health treatment facilities are more likely to be located in poorer communities, whereas office-based practices of mental health professionals are more likely to be located in higher-income communities. These findings indicate that mental health treatment facilities constitute the backbone of the specialty mental health treatment infrastructure in low-income communities. Policies are needed to support and expand available resources for this critical infrastructure.

Dataset Information

Geographic assessment of access to health care in patients with cardiovascular disease in South Africa.

Publications

Geographic assessment of access to health care in patients with cardiovascular disease in South Africa.

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