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BACKGROUND:Cervical cancer is the most frequent neoplasm among Kenyan women, with 4800 diagnoses and 2400 deaths per year. One reason is an extremely low rate of screening through pap smears, at 13.8% in 2014. Knowing the costs of screening will help planners and policymakers design, implement, and scale programs. METHODS:We conducted HPV-based cervical cancer screening via self-collection in 12 communities in rural Migori County, Kenya. Six communities were randomized to community health campaigns (CHCs), and six to screening at government clinics. All HPV-positive women were referred for cryotherapy at Migori County Hospital. We prospectively estimated direct costs from the health system perspective, using micro-costing methods. Cost data were extracted from expenditure records, staff interviews, and time and motion logs. Total costs per woman screening included three activities: outreach, HPV-based screening, and notification. Types of inputs include personnel, recurrent goods, capital goods, and services. We costed potential changes to implementation for scaling. RESULTS:From January to September 2016, 2899 women were screened in CHCs and 2042 in clinics. Each CHC lasted for 30 working days, 10days each for outreach, screening, and notification. The mean cost per woman screened was $25.00 for CHCs [median: $25.09; Range: $22.06-30.21] and $29.56 for clinics [$28.90; $25.27-37.08]. Clinics had higher costs than CHCs for personnel ($14.27 vs. $11.26) and capital ($5.55 vs. $2.80). Screening costs were higher for clinics at $21.84, compared to $17.48 for CHCs. In contrast, CHCs had higher outreach costs ($3.34 vs. $0.17). After modeling a reduction in staffing, clinic per-screening costs ($25.69) were approximately equivalent to CHCs. CONCLUSIONS:HPV-based cervical cancer screening through community health campaigns achieved lower costs per woman screened, compared to screening at clinics. Periodic high-volume CHCs appear to be a viable low-cost strategy for implementing cervical cancer screening.

BACKGROUND:Cervical cancer is the most frequent neoplasm among Kenyan women, with 4800 diagnoses and 2400 deaths per year. One reason is an extremely low rate of screening through pap smears, at 13.8% in 2014. Knowing the costs of screening will help planners and policymakers design, implement, and scale programs. METHODS:We conducted HPV-based cervical cancer screening via self-collection in 12 communities in rural Migori County, Kenya. Six communities were randomized to community health campaigns (CHCs), and six to screening at government clinics. All HPV-positive women were referred for cryotherapy at Migori County Hospital. We prospectively estimated direct costs from the health system perspective, using micro-costing methods. Cost data were extracted from expenditure records, staff interviews, and time and motion logs. Total costs per woman screening included three activities: outreach, HPV-based screening, and notification. Types of inputs include personnel, recurrent goods, capital goods, and services. We costed potential changes to implementation for scaling. RESULTS:From January to September 2016, 2899 women were screened in CHCs and 2042 in clinics. Each CHC lasted for 30 working days, 10 days each for outreach, screening, and notification. The mean cost per woman screened was $25.00 for CHCs [median: $25.09; Range: $22.06-30.21] and $29.56 for clinics [$28.90; $25.27-37.08]. Clinics had higher costs than CHCs for personnel ($14.27 vs. $11.26) and capital ($5.55 vs. $2.80). Screening costs were higher for clinics at $21.84, compared to $17.48 for CHCs. In contrast, CHCs had higher outreach costs ($3.34 vs. $0.17). After modeling a reduction in staffing, clinic per-screening costs ($25.69) were approximately equivalent to CHCs. CONCLUSIONS:HPV-based cervical cancer screening through community health campaigns achieved lower costs per woman screened, compared to screening at clinics. Periodic high-volume CHCs appear to be a viable low-cost strategy for implementing cervical cancer screening.

Both the costs and benefits associated with extending health insurance coverage depend on the extent and exact ways in which health insurance affects the utilization of medical care. We review the literature relating to such effects with the goal of informing researchers interested in simulating the impact of policy initiatives aimed at achieving universal coverage. Overall, this literature is quite consistent in finding significant effects of insurance on all types of utilization. Insurance coverage increases outpatient utilization by roughly 1 visit per year for children and between 1 and 2 visits for adults. For both children and adults, these visits are associated with an increased receipt of preventive care. Insurance coverage also increases inpatient utilization for children and adults; for children, there is some evidence that insurance coverage reduces ambulatory care sensitive hospital admissions.

BackgroundImproving patient flow and reducing over-crowding can improve quality, promptness of care, and patient satisfaction. Given low utilization of preventive care in low-resource countries, improved patient flows are especially important in these settings.ObjectiveCompare patient flow and provider efficiency between two cervical cancer screening strategies via self-collected human papillomavirus (HPV).MethodsWe collected time and motion data for patients screened for cervical cancer in 12 communities in rural Migori County, Kenya as part of a larger cluster randomized trial. Six communities were randomized to screening in community health campaigns (CHCs) and six to screening at government clinics. We quantified patient flow: duration spent on each active stage of screening and wait times, and the number of patients arriving at CHCs and clinics each hour of the day. In addition, for four CHCs, we collected time and motion data for providers, and measured provider efficiency as a ratio of active (service delivery) time to total time spent at the clinic.ResultsTotal duration of screening visits, at CHCs and clinics was 42 and 87minutes, respectively (p<0.001 for difference). Total active time lasted longer at CHCs, with a mean of 28minutes per patient versus 15minutes at clinics, largely due to differences in duration for group education (p<0.001). Wait time for registration at clinics was 36minutes, explaining most of the difference between settings, but sometimes incorporated other health services.ConclusionsThere is a substantial difference in patient flow at clinics compared to CHCs. Shorter duration at CHCs suggests that the model is favorable for patients in limiting time spent on screening. Future cervical cancer screening programs designed for scale-up should consider how this advantage may enhance satisfaction and uptake. For clinic-based screening programs, efforts could be made towards reducing registration wait times.

BACKGROUND:Despite guidelines for cervical cancer prevention in low-resource countries, a very small proportion of women in these settings undergo screening, and even fewer women are successfully treated. Using pilot data from western Kenya and World Health Organization recommendations, we developed a protocol to implement evidence-based cervical cancer screening and linkage to treatment strategies to the rural communities. We describe the protocol for a cluster-randomized trial to compare two implementation strategies for human-papillomavirus (HPV)-based cervical cancer screening program using metrics described in the RE-AIM (reach, efficacy, adaption, implementation and maintenance) framework. METHODS:The study is a three-year, two-phase cluster-randomized trial in 18 communities in western Kenya. During Phase 1, six control communities were offered screening in health facilities; and six intervention communities were offered screening in community health campaigns. Screening was done with human-papillomavirus testing through self-collected specimens. Phase 1 ended and we are working in partnership with communities to further contextualize the implementation strategy for screening, and develop an enhanced linkage to treatment plan. This plan will be tested in an additional six communities in Phase 2 (enhanced intervention). We will compare the reach, efficacy, cost-effectiveness and adaptability of the implementation strategies. DISCUSSION:Effective low-cost cervical cancer prevention technologies are becoming more widely available in low- and middle-income countries. Despite increasing government support for cervical cancer prevention, there remains a sizeable gap in service availability. We will use implementation science to identify the most effective strategies to fill this gap through development of context-specific evidence-based solutions. This protocol design and results can help guide implementation of cervical cancer screening in similar settings, where women are most underserved and at highest risk ...

BACKGROUND:Despite guidelines for cervical cancer prevention in low-resource countries, a very small proportion of women in these settings undergo screening, and even fewer women are successfully treated. Using pilot data from western Kenya and World Health Organization recommendations, we developed a protocol to implement evidence-based cervical cancer screening and linkage to treatment strategies to the rural communities. We describe the protocol for a cluster-randomized trial to compare two implementation strategies for human-papillomavirus (HPV)-based cervical cancer screening program using metrics described in the RE-AIM (reach, efficacy, adaption, implementation and maintenance) framework. METHODS:The study is a three-year, two-phase cluster-randomized trial in 18 communities in western Kenya. During Phase 1, six control communities were offered screening in health facilities; and six intervention communities were offered screening in community health campaigns. Screening was done with human-papillomavirus testing through self-collected specimens. Phase 1 ended and we are working in partnership with communities to further contextualize the implementation strategy for screening, and develop an enhanced linkage to treatment plan. This plan will be tested in an additional six communities in Phase 2 (enhanced intervention). We will compare the reach, efficacy, cost-effectiveness and adaptability of the implementation strategies. DISCUSSION:Effective low-cost cervical cancer prevention technologies are becoming more widely available in low- and middle-income countries. Despite increasing government support for cervical cancer prevention, there remains a sizeable gap in service availability. We will use implementation science to identify the most effective strategies to fill this gap through development of context-specific evidence-based solutions. This protocol design and results can help guide implementation of cervical cancer screening in similar settings, where women are most underserved and at highest risk for disease. TRIAL REGISTRATION:This trial is registered at ClinicalTrials.gov , NCT02124252 .

Abstract Background Prevention of mother to child transmission (PMTCT) is an important part of the effort to control HIV. PMTCT services are mostly provided at public sector government hospitals in India. Systematic data on the cost and efficiency of providing PMTCT services in India are not available readily for further planning. Methods Cost and output data were collected at 16 sampled PMTCT centres in the south Indian state of Andhra Pradesh using standardized methods. The services provided were analysed, and the relation of unit cost of services with scale was assessed. Results In the 2005–2006 fiscal year, 125,073 pregnant women received PMTCT services at the 16 centres (range 2,939 to 20,896, median 5,679). The overall HIV positive rate among those tested was 1.67%. Of the total economic cost, the major components were personnel (47.3%) and recurrent goods (31.7%). For the 16 PMTCT centres, the average economic cost per post-HIV-test counselled pregnant woman was Indian Rupees (INR) 98.9 (US$ 2.23), ranging 2.7-fold from INR 71.4 (US$ 1.61) to INR 189.9 (US$ 4.29). The economic cost per mother-neonate pair who received nevirapine had a higher variation, ranging 41-fold for the 16 centres from INR 4,354 (US$ 98) to INR 179,175 (US$ 4,047), average INR 10,210 (US$ 231), with very high unit cost at some centres where HIV prevalence among pregnant women and the total volume of services were both low. Scale had a significant inverse relation with both of the unit costs, per post-HIV-test counselled pregnant woman and per mother-neonate pair who received nevirapine. In addition, HIV prevalence among pregnant women had a significant inverse relation with unit cost per mother-neonate pair who received nevirapine. Conclusion Although the variation between PMTCT centres for unit cost per post-HIV-test counselled pregnant woman was modest that per mother-neonate pair receiving nevirapine was over 40-fold. The extremely high unit cost for each mother-neonate pair receiving nevirapine at some centres suggests that the new approach of combining PMTCT services with voluntary counselling and testing services that has recently been started in India could potentially offer better efficiency.

OBJECTIVES: The objectives of this study were to assess racial/ethnic trends in surveillance data in four states--California, New York, Florida and Texas, identify structural barriers to and facilitators of access to HIV pharmaceuticals by individuals in Medicaid and the AIDS Drug Assistance Program (ADAP), and identify treatment education and outreach efforts responding to the needs of ethnic minority HIV patients. METHODS: State surveillance and claims data were used to assess trends by race/ethnicity in AIDS cases and mortality as well as participation rates in Medicaid and ADAP. Key informant interviews with state program administrators and local clinic-based benefit eligibility workers were used to identify social and policy barriers to and facilitators of access to HIV drugs and state strategies for overcoming racial/ethnic disparities. RESULTS: Racial/ethnic disparities in the reduction of AIDS-related mortality were identified in three of the four states studied. Policy barriers included Medicaid requirements for legal immigration status and residency, limits on Medicaid eligibility based on disability requirements, and state-imposed income and benefit limits on ADAP. Social barriers to accessing AIDS medications included lack of information, distrust of government, and HIV-related stigma. State strategies for overcoming disparities included contracting with community-based organizations for treatment education and outreach, the use of regional minority coordinators, and public information campaigns. CONCLUSIONS: State policies play a significant role in determining access to HIV drugs, and state policies can be used to reduce racial/ethnic disparities in pharmaceutical access. Overall, eliminating racial/ethnic disparities in access to HIV pharmaceuticals appears to be an achievable goal.