Systemic factors of errors in the case identification process of the national routine health information system: a case study of Modified Field Health Services Information System in the Philippines.

BACKGROUND: The quality of data in national health information systems has been questionable in most developing countries. However, the mechanisms of errors in the case identification process are not fully understood. This study aimed to investigate the mechanisms of errors in the case identification process in the existing routine health information system (RHIS) in the Philippines by measuring the risk of committing errors for health program indicators used in the Field Health Services Information System (FHSIS 1996), and characterizing those indicators accordingly. METHODS: A structured questionnaire on the definitions of 12 selected indicators in the FHSIS was administered to 132 health workers in 14 selected municipalities in the province of Palawan. A proportion of correct answers (difficulty index) and a disparity of two proportions of correct answers between higher and lower scored groups (discrimination index) were calculated, and the patterns of wrong answers for each of the 12 items were abstracted from 113 valid responses. RESULTS: None of 12 items reached a difficulty index of 1.00. The average difficulty index of 12 items was 0.266 and the discrimination index that showed a significant difference was 0.216 and above. Compared with these two cut-offs, six items showed non-discrimination against lower difficulty indices of 0.035 (4/113) to 0.195 (22/113), two items showed a positive discrimination against lower difficulty indices of 0.142 (16/113) and 0.248 (28/113), and four items showed a positive discrimination against higher difficulty indices of 0.469 (53/113) to 0.673 (76/113). CONCLUSIONS: The results suggest three characteristics of definitions of indicators such as those that are (1) unsupported by the current conditions in the health system, i.e., (a) data are required from a facility that cannot directly generate the data and, (b) definitions of indicators are not consistent with its corresponding program; (2) incomplete or ambiguous, which allow several interpretations; and (3) complete yet easily misunderstood by health workers.Taking systemic factors into account, the case identification step needs to be reviewed and designed to generate intended data in health information systems.

Which households are at risk of catastrophic health spending: experience in Thailand after universal coverage.

The impact of the universal coverage policy implementation in Thailand is demonstrated by the declining incidence of catastrophic health spending among Thai households-particularly among the poor. The households who remain at risk of catastrophe, as defined here, are better-off households, because of their preference for using private facilities. Others with increased likelihood of incurring catastrophic health expenditures are households with a greater proportion of elderly members, those having a member with a chronic illness or disability, and those having a member who experienced hospitalization. These determinants should prompt policy concerns to protect such households from financial catastrophe.

Payments for health care and its effect on catastrophe and impoverishment: experience from the transition to Universal Coverage in Thailand.

Equitable health financing was embodied in the reform strategies of Thailand's health care system when the country moved towards implementing the Universal Coverage (UC) policy in 2001. This study aimed to measure the pattern of household out-of-pocket payments for health care and to examine the financial catastrophe and impoverishment due to such payments during the transitional period (pre- and post-Universal Coverage policy implementation) in Thailand. This study used the nationally representative Socioeconomic Surveys in 2000 (pre-UC), 2002, and 2004 (post-UC), which contained data from 24747, 34758 and 34843 individual households, respectively. The proportion of out-of-pocket payments for health care as a share of household living standards among Thai households shows a decreasing pattern during the observed period. Moreover, the incidence and intensity of catastrophic payments for health care decline from the pre-UC to post-UC period. The distribution of incidence and the intensity of catastrophic payments for health care across quintiles also indicate that the lower quintile group (1st and 2nd quintiles) incurs lower catastrophic health care payments compared to the higher quintile group. The UC policy is also effective in preventing impoverishment due to out-of-pocket payments for health care since both the poverty headcount and poverty gap decline from the pre-UC to post-UC period. This study provides important evidence that the UC policy implementation is a valuable social protection and safety net strategy that contributes to the prevention of financial catastrophe and impoverishment due to out-of-pocket payments for health care. In conclusion, the UC policy in Thailand achieves one of the goals of improving the health system through equitable health care financing by reducing financial catastrophe and impoverishment due to out-of-pocket payments for health care.

Analysis of factors of treatment completion in dots health facilities in metro Manila, Philippines: a case-control study.

UNLABELLED: STUDY BACKGROUND AND OBJECTIVES: The Philippines is one of the 22 countries with high TB burden. DOTS was adopted not only by purely public providers (PP) but also by public-private mix (PPM) facilities. This study aims to identify the patient and facility factors that promote completion of TB treatment in DOTS facilities in an urban setting. The study also explores the difference between the PP and PPM DOTS facilities in terms of case management and treatment outcomes. [Methods] A case control study was done by interviewing 394 patients sampled from TB cohort report between 2003 and 2005 of 14 DOTS facilities in Metro Manila. Statistical analyses used include chi-square test and logistic regression analysis. RESULTS: Being female and aged 30-44 (OR = 7.04; 95% CI 1.12-44.35), unemployed (OR = 2.73; 95% CI 1.18-6.33), being above per capita poverty threshold (OR = 2.03; 95% CI 1.03-3.99), having experienced at least one of the signs and symptoms of TB (OR = 4.64; 95% CI 1.29-16.67), taking the medication at health facility (OR = 3.87; 95% CI 1.48-10.16) and patient's understanding of DOT (OR = 2.67; 95% CI 1.37-5.23) predict TB treatment completion. Public-private mix type of DOTS facility was also significantly associated with completing treatment (chi 2 (1) = 54.76, p = 0.000). CONCLUSION: Patient factors like middle-aged female compared to female aged more than 60, being above per capita poverty threshold, unemployment and having experienced at least one signs and symptoms of TB and facility factors like providing treatment at the facility and explaining the DOT to patient increase the likelihood of completing treatment. Thus, encouraging patients to take their medication at the facility and helping the patients understand the importance of DOT can increase TB treatment completion. The seemingly better DOTS implementation and treatment outcomes by the PPM must be evaluated further through cost effectiveness and efficiency studies.