Tuberculosis active case finding in Cambodia: a pragmatic, cost-effectiveness comparison of three implementation models.

BACKGROUND: Globally, almost 40% of tuberculosis (TB) patients remain undiagnosed, and those that are diagnosed often experience prolonged delays before initiating correct treatment, leading to ongoing transmission. While there is a push for active case finding (ACF) to improve early detection and treatment of TB, there is extremely limited evidence about the relative cost-effectiveness of different ACF implementation models. Cambodia presents a unique opportunity for addressing this gap in evidence as ACF has been implemented using different models, but no comparisons have been conducted. The objective of our study is to contribute to knowledge and methodology on comparing cost-effectiveness of alternative ACF implementation models from the health service perspective, using programmatic data, in order to inform national policy and practice. METHODS: We retrospectively compared three distinct ACF implementation models - door to door symptom screening in urban slums, checking contacts of TB patients, and door to door symptom screening focusing on rural populations aged above 55 - in terms of the number of new bacteriologically-positive pulmonary TB cases diagnosed and the cost of implementation assuming activities are conducted by the national TB program of Cambodia. We calculated the cost per additional case detected using the alternative ACF models. RESULTS: Our analysis, which is the first of its kind for TB, revealed that the ACF model based on door to door screening in poor urban areas of Phnom Penh was the most cost-effective (249 USD per case detected, 737 cases diagnosed), followed by the model based on testing contacts of TB patients (308 USD per case detected, 807 cases diagnosed), and symptomatic screening of older rural populations (316 USD per case detected, 397 cases diagnosed). CONCLUSIONS: Our study provides new evidence on the relative effectiveness and economics of three implementation models for enhanced TB case finding, in line with calls for data from 'routine conditions' to be included in disease control program strategic planning. Such cost-effectiveness comparisons are essential to inform resource allocation decisions of national policy makers in resource constraint settings. We applied a novel, pragmatic methodological approach, which was designed to provide results that are directly relevant to policy makers, costing the interventions from Cambodia's national TB program's perspective and using case finding data from implementation activities, rather than experimental settings.

Mitigating Financial Burden of Tuberculosis through Active Case Finding Targeting Household and Neighbourhood Contacts in Cambodia.

BACKGROUND: Despite free TB services available in public health facilities, TB patients often face severe financial burden due to TB. WHO set a new global target that no TB-affected families experience catastrophic costs due to TB. To monitor the progress and strategize the optimal approach to achieve the target, there is a great need to assess baseline cost data, explore potential proxy indicators for catastrophic costs, and understand what intervention mitigates financial burden. In Cambodia, nationwide active case finding (ACF) targeting household and neighbourhood contacts was implemented alongside routine passive case finding (PCF). We analyzed household cost data from ACF and PCF to determine the financial benefit of ACF, update the baseline cost data, and explore whether any dissaving patterns can be a proxy for catastrophic costs in Cambodia. METHODS: In this cross-sectional comparative study, structured interviews were carried out with 108 ACF patients and 100 PCF patients. Direct and indirect costs, costs before and during treatment, costs as percentage of annual household income and dissaving patterns were compared between the two groups. RESULTS: The median total costs were lower by 17% in ACF than in PCF ($240.7 [IQR 65.5-594.6] vs $290.5 [IQR 113.6-813.4], p = 0.104). The median costs before treatment were significantly lower in ACF than in PCF ($5.1 [IQR 1.5-25.8] vs $22.4 [IQR 4.4-70.8], p<0.001). Indirect costs constituted the largest portion of total costs (72.3% in ACF and 61.5% in PCF). Total costs were equivalent to 11.3% and 18.6% of annual household income in ACF and PCF, respectively. ACF patients were less likely to dissave to afford TB-related expenses. Costs as percentage of annual household income were significantly associated with an occurrence of selling property (p = 0.02 for ACF, p = 0.005 for PCF). CONCLUSIONS: TB-affected households face severe financial hardship in Cambodia. ACF has the great potential to mitigate the costs incurred particularly before treatment. Social protection schemes that can replace lost income are critically needed to compensate for the most devastating costs in TB. An occurrence of selling household property can be a useful proxy for catastrophic cost in Cambodia.

Exploring referral systems for injured patients in low-income countries: a case study from Cambodia.

Injury is a growing public health concern worldwide. Since severe injuries require urgent treatment, involving smooth, timely patient referral between facilities, strengthening of the referral system would reduce injury mortality. Smooth referral consists of identification of severe cases, organization of transportation, communication between facilities and prompt care at the receiving facility. This study examined these components of referral of injured patients in a representative sample of health centres (HCs) and referral hospitals (RHs) in Cambodia. We analysed data from a survey carried out in 80 HCs and 17 RHs by interview or mailed questionnaire from December 2006 to April 2007. Collected information on referral included the presence of referral guidelines for injured patients, distance of referral, commonly used transportation and its cost, communication with receiving facilities, and fast-tracking at receiving facilities. Formal referral systems were not functioning well in some areas (insufficient communication and underutilization of ambulances), and informal systems were frequently involved (patient transfer by taxi or referral by community volunteers, and treatment by traditional healers) but were not fully integrated into the referral network (traditional healers seldom referred patients to public facilities). The referral distance was long for most of the surveyed facilities and transportation costs were high when transferring from remote areas, even by ambulance. This study identified the weaknesses and strengths of the emergency referral system in Cambodia. Streamlining referral mechanisms will require organization of each component of the referral mechanism by strengthening the existing system and mobilizing local resources, which would allow Cambodia to develop an efficient system at reasonable cost, though it may differ from Western models. Guidelines including these components along with training and supervision, and expansion of the system to cover other disease conditions, would strengthen the health care system as a whole in this country.

Evaluation of trauma care resources in health centers and referral hospitals in Cambodia.

BACKGROUND: The aim of this study was to evaluate the available resources for trauma care at health centers (HCs) and referral hospitals (RHs) in rural Cambodia and to examine whether the resources at HCs are allocated on the basis of actual need based on the referral distance and number of severely injured patients referred to RHs. METHODS: We conducted a cross-sectional facility survey by phone interview or mail using structured questionnaires at nationally representative samples of 85 HCs and 17 RHs from December 2006 to April 2007. The questionnaire included a modified checklist of the guidelines for essential trauma care as well as questions on distance for referral and the number of injured patients received and referred during the last 3 months. We analyzed the association between resource availability at HCs and their need using multivariate linear regression. RESULTS: Median (interquartile range) numbers of available resources at HCs and RHs were 25.5 (22.0-27.5) and 35 (28-41) among 37 and 62 essential items, respectively. Basic equipment, including both consumable supplies and durable devices and life-saving knowledge/skills, were not satisfactory at either HCs or RHs. A longer distance to the RH was associated with more knowledge/skills but not with equipment supplies; the number of referred patients was not associated with equipment or knowledge/skills. CONCLUSIONS: Staff training emphasizing life-saving knowledge/skills and better organization and planning to supply physical resources are needed. There is a gap between resource allocation and need, which should be addressed through clear policies to prioritize remote areas and to allocate resources based on reliable injury data.