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Objectives: The Urban Health Initiative (UHI) was initiated in 2009 with the goal of increasing family planning (FP) use among the poor in urban areas of Uttar Pradesh, India. The Measurement, Learning & Evaluation project (MLE) was tasked with rigorous impact evaluation of the UHI. This paper presents the impact evaluation findings of the UHI program., Study Design: The MLE design includes a longitudinal sample of women and health facilities with baseline (2010) and endline (2014) data collection in six cities in Uttar Pradesh, India. At baseline, samples representative of women in each city were selected with oversampling of the poor. Eighty-four percent of women interviewed at baseline were reinterviewed 4 years later at endline. The longitudinal data support a within/fixed-effects approach to identification of program impact on changes in modern FP use., Results: Impact evaluation results show significant effects of exposure to both demand and supply side program activities. In particular, women exposed to brochures (marginal effect: 6.96, p<.001), billboards/posters/wall hangings (marginal effect: 2.09, p<.05), and FP on the television (marginal effect: 2.46, p<.001) were significantly more likely to be using a modern method at endline. In addition, we found borderline significance for being exposed to a community health worker (marginal effect: 1.66, p<.10) and living close to an improved public and private supply environment where UHI undertook activities (marginal effects and p values: 2.48, p<.05 and 1.56, p<.10, respectively)., Conclusions: UHI program activities were designed to complement the Government of India's strategies aimed at ensuring access to and provision of FP to urban poor populations. The effective demand- and supply-side strategies of the UHI program are therefore likely to be sustainable and scalable to other urban areas in India., Implications Statement: Findings from this study are important for designing sustainable and scalable FP strategies for urban India where increases in FP use will be relevant for meeting international FP targets., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Breast cancer is becoming a public health problem in Vietnam. The mortality to incidence ratio of the disease was ranked second among the most common cancers in women. This study estimates the survival probability at 1, 3, and 5 years following diagnosis and determines prognostic factors for breast cancer mortality in Vietnam., Methods: A survival analysis was conducted based on retrospective data from Hue Central Hospital and the Cancer Registry in Ho Chi Minh City. Using the Kaplan-Meier method, the survival probability of patients with breast cancer was estimated at 1, 3, and 5 years following diagnosis. The covariates among prognostic factors for survival time were studied using an extended Cox proportion hazards model, including time-dependent predictors., Results: Overall survival rates at 1, 3, and 5 years following diagnosis were 0.94, 0.83 and 0.74 respectively. Marital status, education level, stage at diagnosis, and hormone therapy were prognostic factors for mortality. For the stage at diagnosis, the relation to the risk of death for breast cancer was 1.32 (95% CI, 1.22-1.41). Married women faced a risk of death nearly 1.59 times higher than unmarried women (95% CI, 1.09-2.33). Women with higher levels of education and who received hormone therapy had approximately 10% (hazard ratio [HR]: 0.92; 95% CI, 0.89-0.96) and 80% (HR: 0.22; 95% CI, 0.12-0.41) risk reduction of death respectively, compared with those classified as illiterate and those without hormone therapy., Conclusions: The 5-year survival probability of breast cancer was lower in Vietnam than in countries with similar distributions of the stage at diagnosis. Screening programs and related support policies should be developed to increase the life expectancy of women with breast cancer in Vietnam.

Aims: There is a scarcity of data regarding medical hospitalizations for breast cancer. The aim was to determine whether the burden of inpatient care for breast cancer was declining., Methods: A retrospective study was conducted of all admissions to a single medical oncology inpatient unit in 1996 and 2006 related to the treatment of breast cancer. The total number of hospitalizations, patients' length of stay in hospital, clinical indications for hospitalization and utilization of inpatient services were determined. Data analysis involved pairwise comparisons between the cohorts., Results: The total number of breast cancer hospitalizations was similar in 1996 and 2006. However, the number of hospitalizations for adjuvant treatment complications was 50% lower in 2006, attributable to a lower rate of chemotherapy-associated febrile neutropenia. Acute clinical problems necessitating inpatient care differed between 1996 and 2006. Fewer hospitalizations for symptomatic hypercalcemia, uncontrolled pain and chemotherapy toxicity were required in 2006 but a significant increase was seen in central nervous system complications. Recent practice involved greater inpatient consultation of other medical and surgical teams. There was a trend towards a shorter duration of admissions in 2006 in both adjuvant and metastatic patients., Conclusion: Although total annual breast cancer admission numbers and length of stay did not change significantly, hospitalization for treatment-related complications was less frequent in 2006. The clinical manifestations of metastatic breast cancer appear to be changing, and in our institution are being managed with broader multidisciplinary care., (© 2011 Blackwell Publishing Asia Pty Ltd.)

Objective: To generate community-based estimates of the public (paid by the government) and private (paid by households) costs of blood culture-confirmed typhoid fever in Hechi, China; North Jakarta, Indonesia; Kolkata, India; Karachi, Pakistan and Hue, Vietnam., Methods: To measure out-of-pocket costs of illness and lost earnings, families with culture-proven cases were surveyed 7, 14 and 90 days after onset of illness. Public costs of treatment were measured at local health facilities using a micro costing (bottom-up) method., Results: The costs of hospitalized cases ranged from USD 129 in Kolkata to USD 432 in North Jakarta (hospitalization rates varied from 2% in Kolkata to 40% in Hechi) and the costs of non-hospitalized cases ranged from USD 13 in Kolkata to USD 67 in Hechi. Where costs were highest (Hechi, North Jakarta and Karachi), the bulk of the costs of hospitalized cases was borne by families, comprising up to 15% of annual household income., Conclusion: Although these estimates may understate true costs due to the fact that higher quality treatment may have been provided earlier-than-usual, this multi-country community-based study contributes to evidence on the public and private costs of typhoid fever in developing countries. These cost estimates were used in a cost-effectiveness analysis of typhoid vaccines and will help policymakers respond to World Health Organization's updated typhoid fever immunization recommendations., (© 2011 Blackwell Publishing Ltd.)

Objective: The purpose of this study was to develop a cost function model to estimate the public treatment cost of shigellosis patients in Thailand., Methods: This study is an incidence-based cost-of-illness analysis from a provider's perspective. The sample cases in this study were shigellosis patients residing in Kaengkhoi District, Saraburi Province, Thailand. All diarrhea patients who came to the health-care centers in Kaengkhoi District, Kaengkhoi District Hospital and Saraburi Regional Hospital during the period covering May 2002 to April 2003 were tested for Shigella spp. The sample for our study included all patients with culture that confirmed the presence of shigellosis. Public treatment cost was defined as the costs incurred by the health-care service facilities arising from individual cases. The cost was calculated based on the number of services that were utilized (clinic visits, hospitalization, pharmaceuticals, and laboratory investigations), as well as the unit cost of the services (material, labor and capital costs). The data were summarized using descriptive statistics. Furthermore, the stepwise multiple regressions were employed to create a cost function, and the uncertainty was tested by a one-way sensitivity analysis of varying discount rate, cost category, and drug prices., Results: Cost estimates were based from 137 episodes of 130 patients. Ninety-four percent of them received treatment as outpatients. One-fifth of the episodes were children aged less than 5 years old. The average public treatment cost was US$8.65 per episode based on 2006 prices (95% CI, 4.79, and 12.51) (approximately US$1 = 38.084 Thai baht). The majority of the treatment cost (59.3%) was consumed by the hospitalized patients, though they only accounted for 5.8% of all episodes. The sensitivity analysis on the component of costs and drug prices showed a variation in the public treatment cost ranging from US$8.29 to US$9.38 (-4.20% and 8.43% of the base-case, respectively). The public treatment cost model has an adjusted R(2) of 0.788. The positive predictor variables were types of services (inpatient and outpatient), types of health-care facilities (health center, district hospital, regional hospital), and insurance schemes (civil servants medical benefit scheme, social security scheme and universal health coverage scheme). Treatment cost was estimated for various scenarios based on the fitted cost model., Conclusion: The average public treatment cost of shigellosis in Thailand was estimated in this study. Service types, health-care facilities, and insurance schemes were the predictors used to predict nearly 80% of the cost. The estimated cost based on the fitted model can be employed for hospital management and health-care planning.

This paper uses Côte d'Ivoire and Nigeria survey data on both supply and demand characteristics to examine how structural and demographic factors influence family planning provision and cost. The model, which takes into account the endogenous influence of service provision on average cost, explains provision well but poorly explains what influences service cost. We show that both size and specialization matter. In both countries, vertical (exclusive family planning) facilities provide significantly more contraception than integrated medical establishments. In the Nigeria sample, larger facilities also offer services at lower average cost. Since vertical facilities tend to be large, they at most incur no higher unit costs than integrated facilities. These results are consistent across most model specifications, and are robust to corrections for endogenous facility placement in Nigeria. Model results and cost recovery information point to the relative efficiency of the International Planned Parenthood Federation, which operates large, mostly vertically organized facilities.