A Cost Function Analysis of Shigellosis in Thailand

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$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 R2 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

Preferences for Treatment of Diarrhoea and Dysentery in Kaengkhoi District, Saraburi Province, Thailand

To estimate the proportion of cases missed in a passive surveillance study of diarrhoea and dysentery at health centres and hospitals in Kaengkhoi district, Saraburi province, Thailand, a community-based cluster survey of treatment-seeking behaviours was conducted during 21-23 June 2002. Interviews were conducted at 224 households among a study population of 78,744. The respondents reported where they sought care for diarrhoea and dysentery in children aged less than five years and adults aged over 15 years. Health centres or hospitals were the first treatment choice for 78% of children with dysentery (95% confidence interval [CI] 63-94%), 64% of children with diarrhoea (95% CI 54-74%), 61% of adults with dysentery (95% CI 40-82%), and 35% of adults with diarrhoea (95% CI 17-54%). Ahigh degree of heterogeneity in responses resulted in a relatively large design effect (D=3.9) and poor intra-cluster correlation (rho=0.3). The community survey suggests that passive surveillance estimates of disease incidence will need to be interpreted with caution, since this method will miss nearly a quarter of dysentery cases in children and nearly two-thirds of diarrhoea cases in adults

Preferences for treatment of diarrhoea and dysentery in Kaengkhoi district, Saraburi province, Thailand.

To estimate the proportion of cases missed in a passive surveillance study of diarrhoea and dysentery at health centres and hospitals in Kaengkhoi district, Saraburi province, Thailand, a community-based cluster survey of treatment-seeking behaviours was conducted during 21-23 June 2002. Interviews were conducted at 224 households among a study population of 78,744. The respondents reported where they sought care for diarrhoea and dysentery in children aged less than five years and adults aged over 15 years. Health centres or hospitals were the first treatment choice for 78% of children with dysentery (95% confidence interval [CI] 63-94%), 64% of children with diarrhoea (95% CI 54-74%), 61% of adults with dysentery (95% CI 40-82%), and 35% of adults with diarrhoea (95% CI 17-54%). A high degree of heterogeneity in responses resulted in a relatively large design effect (D=3.9) and poor intra-cluster correlation (rho=0.3). The community survey suggests that passive surveillance estimates of disease incidence will need to be interpreted with caution, since this method will miss nearly a quarter of dysentery cases in children and nearly two-thirds of diarrhoea cases in adults

Preferences for Treatment of Diarrhoea and Dysentery in Kaengkhoi District, Saraburi Province, Thailand

To estimate the proportion of cases missed in a passive surveillance study of diarrhoea and dysentery at health centres and hospitals in Kaengkhoi district, Saraburi province, Thailand, a community-based cluster survey of treatment-seeking behaviours was conducted during 21-23 June 2002. Interviews were conducted at 224 households among a study population of 78,744. The respondents reported where they sought care for diarrhoea and dysentery in children aged less than five years and adults aged over 15 years. Health centres or hospitals were the first treatment choice for 78% of children with dysentery (95% confidence interval [CI] 63-94%), 64% of children with diarrhoea (95% CI 54-74%), 61% of adults with dysentery (95% CI 40-82%), and 35% of adults with diarrhoea (95% CI 17-54%). Ahigh degree of heterogeneity in responses resulted in a relatively large design effect (D=3.9) and poor intra-cluster correlation (rho=0.3). The community survey suggests that passive surveillance estimates of disease incidence will need to be interpreted with caution, since this method will miss nearly a quarter of dysentery cases in children and nearly two-thirds of diarrhoea cases in adults

Estimating the burden of shigellosis in Thailand: 36-month population-based surveillance study.

OBJECTIVE: To estimate incidence of shigellosis in the Kaengkhoi district, Saraburi Province, Thailand. METHODS: Population-based surveillance of shigellosis based in treatment centres. The detected rates of treated shigellosis were corrected for the number of cases missed due to the low sensitivity of microbiological culture methods and participants' use of health-care providers not participating in the study. FINDINGS: The overall uncorrected incidence of shigellosis was 0.6/1000 population per year (95% confidence interval (CI) = 0.5-0.8). The unadjusted incidence of treated shigellosis was highest among children less than 5 years old (4/1000 children per year; 95% CI = 3-6) and significantly lower among people aged > 5 years (0.3/1000 population per year; 95% CI = 0.2-0.5; P < 0.001). Adjusting for cases likely to be missed as a result of culture and surveillance methods increased estimates approximately five times. The majority of Shigella isolates (122/146; 84%) were S. sonnei; the rest were S. flexneri. Of the 22 S. flexneri isolates, the three most frequently encountered serotypes were 2a (36%), 1b (23%) and 3b (28%). A total of 90-95% of S. sonnei and S. flexneri isolates were resistant to tetracycline and co-trimoxazole. In contrast to S. sonnei isolates, more than 90% of the S. flexneri isolates were also resistant to ampicillin and chloramphenicol (P < 0.0001). CONCLUSION: Estimates of incidence of Shigella infection in the community are 10-fold to 100-fold greater than those found from routine government surveillance. The high prevalence of Shigella strains resistant to multiple antibiotics adds urgency to the development of a vaccine to protect against shigellosis in this region of Thailand