Gender bias in economic evaluation methods: time costs and productivity loss

The economic burden of zoonotic Plasmodium knowlesi malaria on households in Sabah, Malaysia compared to malaria from human-only Plasmodium species

Background

The emergence of the zoonotic monkey parasite Plasmodium knowlesi as the dominant cause of malaria in Malaysia has disrupted current national WHO elimination goals. Malaysia has free universal access to malaria care; however, out-of-pocket costs are unknown. This study estimated household costs of illness attributable to malaria due to P. knowlesi against other non-zoonotic Plasmodium species infections in Sabah, Malaysia.

Methodology/Principal Findings

Household costs were estimated from patient-level surveys collected from four hospitals between 2013 and 2016. Direct costs including medical and associated travel costs, and indirect costs due to lost productivity were included. One hundred and fifty-two malaria cases were enrolled: P. knowlesi (n=108), P. vivax (n=22), P. falciparum (n=16), and P. malariae (n=6). Costs were inflated to 2022 Malaysian Ringgits and reported in United States dollars (US$). Across all cases, the mean total costs were US$138 (SD=108), with productivity losses accounting for 58% of costs (US$80; SD=73). P. vivax had the highest mean total household cost at US$210, followed by P. knowlesi (US$127), P. falciparum (US$126), and P. malariae (US$105). Most patients (80%) experienced direct health costs above 10% of monthly income, with 58 (38%) patients experiencing health spending over 25% of monthly income, consistent with catastrophic health expenditure.

Conclusions/Significance

Despite Malaysia's free health-system care for malaria, patients and families face other related medical, travel, and indirect costs. Household out-of-pocket costs were driven by productivity losses; primarily attributed to infections in working-aged males in rural agricultural-based occupations. Costs for P. knowlesi were comparable to P. falciparum and lower than P. vivax. The higher P. vivax costs related to direct health facility costs for repeat monitoring visits given the liver-stage treatment required.

AUTHOR SUMMARY

Knowlesi malaria is due to infection with a parasite transmitted by mosquitos from monkeys to humans. Most people who are infected work or live near the forest. It is now the major type of malaria affecting humans in Malaysia. The recent increase of knowlesi malaria cases in humans has impacted individuals, families, and health systems in Southeast Asia. Although the region has made substantial progress towards eliminating human-only malaria species, knowlesi malaria threatens elimination targets as traditional control measures do not address the parasite reservoir in monkeys. The economic burden of illness due to knowlesi malaria has not previously been estimated or subsequently compared with other malaria species. We collected data on the cost of illness to households in Sabah, Malaysia, to estimate their related total economic burden. Medical costs and time off work and usual activities were substantial in patients with the four species of malaria diagnosed during the time of this study. This research highlights the financial burden which households face when seeking care for malaria in Malaysia, despite the free treatment provided by the government.

A potential gender bias in assessing quality of life - a standard gamble experiment among university students

BACKGROUND

There are several methodologies that can be used for evaluating patients' perception of their quality of life. Most commonly, utilities are directly elicited by means of either the time-trade-off or the standard-gamble method. In both methods, risk attitudes determine the quality of life values.

METHODS

Quality of life values among 31 Austrian undergraduate students were elicited by means of the standard gamble approach. The impact of several variables such as gender, side job, length of study, and living arrangements on the quality of life were identified using different types of regression techniques (ordinary least squares, generalized linear model, Betafit).

RESULTS

Significant evidence was found that females are associated with a higher quality of life in all specifications of our estimations.

DISCUSSION

The observed gender differences in quality of life can be attributed to a higher degree of risk aversion of women. A higher risk aversion leads to a higher valuation of given health states and a potential gender bias in health economic evaluations. This result could have implications for health policy planners when it comes to budget allocation decisions.