Dataset Information

When pits fill up: Supply and demand for safe pit-emptying services in Kisumu, Kenya.

ABSTRACT: Improving sanitation conditions in low-income communities is a major challenge for rapidly growing cities of the developing world. The expenses and logistical difficulties of extending sewerage infrastructure have focused increasing attention on the requirements for safe and cost-effective fecal sludge management services. These services, which are primarily provided by the private sector, include the collection and treatment of fecal waste from latrine pits and septic tanks. To determine the degree to which market forces can promote safe fecal sludge removal in low-income neighborhoods of Kisumu, Kenya, we compared household willingness-to-pay for formal pit emptying with the prices charged by service providers. Through surveys of 942 households and a real-money voucher trial with 646 households, we found that stated and revealed demand for formal emptying services were both low, with less than 20% of households willing to pay full market prices. Our results suggest that improving fecal sludge management in these neighborhoods via the private sector will require large subsides, ranging from 55.1-81.4 million KES (551,000-814,000 USD) annually, to address the gap between willingness-to-pay and market prices. Raising and administering subsidies of this scale will require the development of a city-wide sanitation master plan that includes investment, management, and regulatory procedures for fecal sludge management. In the absence of government investment and coordination, it is unlikely that the private sector will address safe sanitation needs in low-income areas of Kisumu.

SUBMITTER: Peletz R

PROVIDER: S-EPMC7470379 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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When pits fill up: Supply and demand for safe pit-emptying services in Kisumu, Kenya.

Peletz Rachel R MacLeod Clara C Kones Joan J Samuel Edinah E Easthope-Frazer Alicea A Delaire Caroline C Khush Ranjiv R

PloS one 20200903 9

Improving sanitation conditions in low-income communities is a major challenge for rapidly growing cities of the developing world. The expenses and logistical difficulties of extending sewerage infrastructure have focused increasing attention on the requirements for safe and cost-effective fecal sludge management services. These services, which are primarily provided by the private sector, include the collection and treatment of fecal waste from latrine pits and septic tanks. To determine the de ...[more]

PMID: 32881905

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Project description:Background Antenatal care (ANC) and delivery by skilled providers have been well recognized as effective strategies to prevent maternal and neonatal mortality. ANC and delivery services at health facilities, however, have been underutilized in Kenya. One potential strategy to increase the demand for ANC services is to provide health interventions as incentives for pregnant women. In 2013, an integrated ANC program was implemented in western Kenya to promote ANC visits by addressing both supply- and demand-side factors. Supply-side interventions included nurse training and supplies for obstetric emergencies and neonatal resuscitation. Demand-side interventions included SMS text messages with appointment reminders and educational contents, group education sessions, and vouchers to purchase health products. Methods To explore pregnant mothers’ experiences with the intervention, ANC visits, and delivery, we conducted focus group discussions (FGDs) at pre- and post-intervention. A total of 19 FGDs were held with pregnant mothers, nurses, and community health workers (CHWs) during the two assessment periods. We performed thematic analyses to highlight study participants’ perceptions and experiences. Results FGD data revealed that pregnant women perceived the risks of home-based delivery, recognized the benefits of facility-based delivery, and were motivated by the incentives to seek care despite barriers to care that included poverty, lack of transport, and poor treatment by nurses. Nurses also perceived the value of incentives to attract women to care but described obstacles to providing health care such as overwork, low pay, inadequate supplies and equipment, and insufficient staff. CHWs identified the utility and limitations of text messages for health education. Conclusions Future interventions should ensure that adequate workforce, training, and supplies are in place to respond to increased demand for maternal and child health services stimulated by incentive programs.

Project description:BackgroundHIV assisted partner services (aPS), or provider notification and testing for sexual and injecting partners of people diagnosed with HIV, is shown to be safe, effective, and cost-effective and was scaled up within the national HIV testing services (HTS) program in Kenya in 2016. We estimated the costs of integrating aPS into routine HTS within an ongoing aPS scale-up project in western Kenya.MethodsWe conducted microcosting using the payer perspective in 14 facilities offering aPS. Although aPS was offered to both males and females testing HIV-positive (index clients), we only collected data on female index clients and their male sex partners (MSP). We used activity-based costing to identify key aPS activities, inputs, resources, and estimated financial and economic costs of goods and services. We analyzed costs by start-up (August 2018), and recurrent costs one-year after aPS implementation (Kisumu: August 2019; Homa Bay: January 2020) and conducted time-and-motion observations of aPS activities. We estimated the incremental costs of aPS, average cost per MSP traced, tested, testing HIV-positive, and on antiretroviral therapy, cost shares, and costs disaggregated by facility.ResultsOverall, the number of MSPs traced, tested, testing HIV-positive, and on antiretroviral therapy was 1027, 869, 370, and 272 respectively. Average unit costs per MSP traced, tested, testing HIV-positive, and on antiretroviral therapy were $34.54, $42.50, $108.71 and $152.28, respectively, which varied by county and facility client volume. The weighted average incremental cost of integrating aPS was $7,485.97 per facility per year, with recurrent costs accounting for approximately 90% of costs. The largest cost drivers were personnel (49%) and transport (13%). Providers spent approximately 25% of the HTS visit obtaining MSP contact information (HIV-negative clients: 13 out of 54 min; HIV-positive clients: 20 out of 96 min), while the median time spent per MSP traced on phone and in-person was 6 min and 2.5 hours, respectively.ConclusionAverage facility costs will increase when integrating aPS to HTS with incremental costs largely driven by personnel and transport. Strategies to efficiently utilize healthcare personnel will be critical for effective, affordable, and sustainable aPS.

Project description:PurposeTo conduct a comprehensive analysis of supply of and demand for oncology services through 2020. This study was commissioned by the Board of Directors of ASCO.MethodsNew data on physician supply gathered from surveys of practicing oncologists, oncology fellows, and fellowship program directors were analyzed, along with 2005 American Medical Association Masterfile data on practicing medical oncologists, hematologists/oncologists, and gynecologic oncologists, to determine the baseline capacity and to forecast visit capacity through 2020. Demand for visits was calculated by applying age-, sex-, and time-from-diagnosis-visit rate data from the National Cancer Institute's analysis of the 1998 to 2002 Surveillance, Epidemiology and End Results (SEER) database to the National Cancer Institute's cancer incidence and prevalence projections. The cancer incidence and prevalence projections were calculated by applying a 3-year average (2000-2002) of age- and sex-specific cancer rates from SEER to the US Census Bureau population projections released on March 2004. The baseline supply and demand forecasts assume no change in cancer care delivery and physician practice patterns. Alternate scenarios were constructed by changing assumptions in the baseline models.ResultsDemand for oncology services is expected to rise rapidly, driven by the aging and growth of the population and improvements in cancer survival rates, at the same time the oncology workforce is aging and retiring in increasing numbers. Demand is expected to rise 48% between 2005 and 2020. The supply of services provided by oncologists during this time is expected to grow more slowly, approximately 14%, based on the current age distribution and practice patterns of oncologists and the number of oncology fellowship positions. This translates into a shortage of 9.4 to 15.0 million visits, or 2,550 to 4,080 oncologists-roughly one-quarter to one-third of the 2005 supply. The baseline projections do not include any alterations based on changes in practice patterns, service use, or cancer treatments. Various alternate scenarios were also developed to show how supply and demand might change under different assumptions.ConclusionsASCO, policy makers, and the public have major challenges ahead of them to forestall likely shortages in the capacity to meet future demand for oncology services. A multifaceted strategy will be needed to ensure that Americans have access to oncology services in 2020, as no single action will fill the likely gap between supply and demand. Among the options to consider are increasing the number of oncology fellowship positions, increasing use of nonphysician clinicians, increasing the role of primary care physicians in the care of patients in remission, and redesigning service delivery.

Project description:BACKGROUND: Kenyan women aged ? 15 years are at risk of developing cervical cancer. Currently, cervical cytology reduces cervical cancer incidence, since it allows for early diagnosis and treatment. Uptake of cervical screening services is a priority research area in Kenya. Central to the success of any screening programme is its ability to identify, reach out and screen the defined target population. Cervical screening coverage in Kenya is currently at 3.2%. In Jaramogi Oginga Odinga Teaching and Referral Hospital (JOOTRH) in Nyanza, the number screened for cervical cancer is low (averagely 3/day). Thus the current study sought to identify factors influencing uptake of cervical screening services at the facility. METHODS: In a cross-sectional study, knowledge, perceptions and cues for action associated with self-reported cervical screening uptake were explored. The targeted population (n = 424), purposively selected were women of child-bearing age (18-49 years) visiting JOOTRH. Data on socio-demographic status (age, level of education, marital status, job status, income level), knowledge of cervical cancer, perceptions on severity and susceptibility to the disease were collected using self-administered structured questionnaires. Statistical significance of differences in proportions were determined by chi-square analyses while logistic regression analyses were used to identify determinants of self-reported uptake of the service. RESULTS: Self-reported screening uptake was 17.5%. There was a strong positive association between age (P < 0.0001), level of education (P < 0.0001) and income levels (P = 0.005) with the uptake of the service. Knowledge level on the signs and symptoms of cervical cancer was an important determinant for being screened for cervical cancer (P < 0.0001). Furthermore, those who said they didn't know about the disease (OR, 26.84, 95% CI, 6.07-118.61, P < 0.0001) or were not aware about susceptibility to it (OR, 2.37, 95% CI, 1.10-5.08, P = 0.02) had a higher likelihood of not being screened. On cues for action, those who attended the child welfare clinic were more likely to be screened (OR, 2.31, 95% CI, 1.17-3.93, P = 0.03). CONCLUSION: Knowledge, perception of higher susceptibility and attending child welfare clinic are key determinants of self-reported uptake of cervical screening. Increasing knowledge, enhancing health education and providing free services may increase uptake among women population in such settings.

Project description:Livability, resilience, and justice in cities are challenged by climate change and the historical legacies that together create disproportionate impacts on human communities. Urban green infrastructure has emerged as an important tool for climate change adaptation and resilience given their capacity to provide ecosystem services such as local temperature regulation, stormwater mitigation, and air purification. However, realizing the benefits of ecosystem services for climate adaptation depend on where they are locally supplied. Few studies have examined the potential spatial mismatches in supply and demand of urban ecosystem services, and even fewer have examined supply-demand mismatches as a potential environmental justice issue, such as when supply-demand mismatches disproportionately overlap with certain socio-demographic groups. We spatially analyzed demand for ecosystem services relevant for climate change adaptation and combined results with recent analysis of the supply of ecosystem services in New York City (NYC). By quantifying the relative mismatch between supply and demand of ecosystem services across the city we were able to identify spatial hot- and coldspots of supply-demand mismatch. Hotspots are spatial clusters of census blocks with a higher mismatch and coldspots are clusters with lower mismatch values than their surrounding blocks. The distribution of mismatch hot- and coldspots was then compared to the spatial distribution of socio-demographic groups. Results reveal distributional environmental injustice of access to the climate-regulating benefits of ecosystem services provided by urban green infrastructure in NYC. Analyses show that areas with lower supply-demand mismatch tend to be populated by a larger proportion of white residents with higher median incomes, and areas with high mismatch values have lower incomes and a higher proportion of people of color. We suggest that urban policy and planning should ensure that investments in "nature-based" solutions such as through urban green infrastructure for climate change adaptation do not reinforce or exacerbate potentially existing environmental injustices.

Dataset Information

When pits fill up: Supply and demand for safe pit-emptying services in Kisumu, Kenya.

Publications

When pits fill up: Supply and demand for safe pit-emptying services in Kisumu, Kenya.

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