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Abstract

Background. Malaria is a major health, economic, and social burden in sub-Saharan Africa. Purpose. The objective is to help understanding the economic impact of malaria and informing estimates of the potential economic impact of malaria prevention. To achieve this, we conducted a systematic review of published information on health system costs, health care resource use, and household costs for the management of malaria episodes in children aged <5 years in sub-Saharan Africa. Data Sources and Study Selection. We conducted searches in Medline, EMBASE, and Cochrane Library for studies reporting data on economic cost or resource use associated with management of malaria in children aged <5 years in sub-Saharan Africa. Searches were limited to articles published in English or French between January 1, 2006, and September 1, 2016. Conference abstracts from 2014 to 2016 were hand-searched. Data Extraction and Data Synthesis. We identified 1846 publications, of which 17 met the selection criteria. The studies covered nine countries: The Democratic Republic of Congo, Ghana, Kenya, Malawi, Mozambique, Nigeria, Tanzania, Uganda, and Zambia. All costs were standardized to 2016 US dollars (US$). Seven studies estimated the costs of a malaria episode to health systems, and 10 publications plus one abstract reported household costs. The cost to the health system was US$1.94 to US$31.53 for outpatient malaria cases to US$20 to US$136 for inpatient cases. Families bear a large share of the burden through out-of-pocket payments of medical care and lost income due to time off work. Limitations. Data were missing for many countries and few comparisons could be made. Conclusions. Severe malaria is associated with much higher costs than uncomplicated malaria, and families bear a large share of the cost burden.

Keywords

economic impact malaria sub-Saharan Africa systematic review

Introduction

Malaria is a potentially life-threatening infectious disease caused by protozoan parasites of the genus Plasmodium. Plasmodium falciparum causes the most severe disease. The parasites are vectored by Anopheles mosquitoes and trigger symptoms when they multiply in human red blood cells (erythrocytes).

Malaria is characteristically an acute febrile illness. The symptoms of uncomplicated malaria are nonspecific and include fever, chills, headache, and vomiting. If not treated within 24 hours, malaria can progress to severe illness and can be fatal. In children, severe malaria can include symptoms such as severe anemia, respiratory distress in response to metabolic acidosis, or convulsions and coma in cases of cerebral malaria. Long-term neurological abnormalities such as ataxia, palsy, speech impairment, deafness, and blindness may persist after cerebral malaria, especially in children.

Interventions to prevent malaria include vector control methods (mainly the use of insecticide-treated nets and indoor residual spraying), chemoprevention, and potentially vaccination. Artemisinin-based combination therapies (ACT) are recommended by the World Health Organization (WHO) for the treatment of uncomplicated malaria caused by P. falciparum, and have been shown to reduce malaria mortality by 97% to 99% in children aged <5 years.

Despite the increase of prevention and control methods, malaria is still a major public health burden in sub-Saharan Africa, being in the top three causes of childhood death. In 2015, there were an estimated 191 million cases of malaria and 394,000 malaria deaths in the WHO Africa region. The malaria burden is concentrated in young children. In 2015, there were an estimated 292,000 malaria deaths in children aged <5 years in the WHO Africa region, accounting for 74% of malaria deaths.

Malaria is therefore associated with a high economic and social burden. Malaria costs may be substantial in relation to household income in sub-Saharan Africa, especially in poorer socioeconomic groups.¹ After taking into account factors such as initial poverty, economic policy, and tropical location, the rate of economic growth per capita in countries with malaria was estimated to be 1.3% per year slower between 1965 and 1990, compared with countries without malaria.² The long-term effect of this lower growth rate is an income per capita, in a country with intensive malaria, that is only around one third of that in a country without intensive malaria.²

The objective of this study is to conduct a systematic review of information available from the peer-reviewed literature on health system costs, health care resource use, and household costs for the management of malaria episodes in children aged <5 years in sub-Saharan Africa. It should help identify information that can be applied to improve understanding of the economic burden of malaria to health systems and households, and to help assess the potential economic impact of malaria prevention.

Methods

Search Strategy

Three electronic databases, Medline, EMBASE, and the Cochrane Library, were searched to identify studies reporting information on economic impact and resource use associated with malaria management in children aged <5 years in sub-Saharan Africa. For example, search terms in Medline for disease included ‘Malaria (MeSH),’‘plasmodium (MeSH),’ or ‘“plasmodium falciparum” (MeSH),’ search terms for economics included ‘budgets (MeSH)’ or ‘economic (MeSH),’ and search terms for the geographical area included ‘sub-Saharan Africa (MeSH)’ or ‘West Africa (MeSH)’ together with individual country names. Detailed search terms are presented in Supplementary Material: Search terms. The searches were limited to studies published in English or French, and added to the database between January 1, 2006, and September 1, 2016. In addition, hand searches were conducted to identify relevant conference abstracts from key conferences between 2014 and 2016.^3–14

Study Selection

Studies before 2006 were excluded. Studies were selected according to the predefined PICOS (Population, Intervention, Comparison, Outcome, Study type) framework. As this was a review of information on cost of illness, “Intervention” and “Comparison” were not applicable, and the “Outcome” of interest was cost data. Full details of the PICOS criteria used are presented in Supplementary Material: PICOS criteria. Studies were included if they met the following criteria:

Population: children aged <5 years with malaria (including uncomplicated, severe, or other manifestations of malaria, with or without laboratory/rapid diagnostic test [RDT] confirmation), living in sub-Saharan Africa.

Costs reported: costs per disease episode; costs of antimalarial treatments; diagnosis and treatment of uncomplicated or severe malaria, including late manifestations of severe malaria; treatment of symptoms attributable to malaria (e.g., fever). Studies on the cost of management of febrile illnesses without malaria confirmation were included only if indirect costs associated with productivity loss and opportunity costs (travel time and waiting time) were reported. The selected studies reported costs from either the health care sector or household perspective. Health care sector costs were defined as the direct cost of malaria per episode or total cost of malaria over a known number of episodes. Household costs included direct and indirect costs associated with episodes of malaria including out-of-pocket payments, transportation, self-medication, and traditional therapy.

Study type: observational studies, pragmatic trials, and clinical trials of therapeutic interventions were included. Model-based studies were included only if they estimated costs of treatment provision for diagnosed malaria cases.

Studies were excluded as follows:

Studies in North Africa or South Africa, or studies in populations not receiving treatment in the context of routine health care delivery (e.g., displaced populations) were excluded.

Studies on disease recurrence, reinfection, incorrect treatment administration, screening and mass administration of interventions, or studies reporting information that could not be attributed to a uniquely identifiable disease episode were not included.

Case reports, letters, comments, and historical articles were excluded.

Publications identified by the electronic searches were first screened for relevance by reviewing the title and abstract. Studies that were eligible after primary screening underwent full-text review against the selection criteria above. Two reviewers conducted the screening and full-text review. Any discrepancies were resolved by discussion or the involvement of a third reviewer.

Data including country, study period, population, study type, and reported costs were extracted from studies meeting the selection criteria. All costs were inflated and converted to 2016 US dollars using the CCEMG-EPPI Centre online cost converter tool using the International Monetary Fund dataset for purchasing power parity values and the year of data collection if available, otherwise the year of study publication.¹⁵

Risk of Bias Assessment

A risk assessment was performed by one reviewer on the studies reporting resource use and cost data. The included studies in this review were analyzed separately, and potential limitations in the methods (i.e., study design, data collection, and data entry) were flagged as well as potential self-reported biases.

The PRISMA checklist completed for this literature review can be found in the supplementary material.

Results

Search Results

A total of 1846 publications were identified from the searches and screened using title and abstract. Of these, 101 underwent full-text review, and 16 met the selection criteria.^16–31 One additional study was identified from the hand searches of conference abstracts,³² resulting in a total of 17 studies included (Figure 1). The most recent publication date was 2016.²⁹

Figure 1

Search results and study selection.

The studies covered nine countries, the Democratic Republic of Congo (DRC), Ghana, Kenya, Malawi, Mozambique, Nigeria, Tanzania, Uganda, and Zambia.

Studies on Malaria Costs to Health Systems

Characteristics of Included Studies

Seven studies^16–22 estimated health care costs for episodes of malaria in a range of settings. Five studies were costing studies,^{16,17,19–21} one analyzed the pattern of medicine prescribing in the community,¹⁸ and one was an expenditure study.²² In addition, a model-based study estimated health care system costs and private expenditure in three countries (Ghana, Kenya, and Tanzania).³⁰ Table 1 summarizes the study characteristics.

Table 1

Characteristics of Included Studies on the Cost of Malaria Episodes to Health Systems

Study	Country	Study Period	Type of Malaria	Age Group	Study Type	Primary Outcomes	Data Sources	Patient Recruitment	Costs Included
Ferrari¹⁶	Democratic Republic of Congo	October 2012 to June 2013	Severe	≤6 years, excluding infants <6 months	Prospective comparative observational study	Cost per episode	Prospective collection; time and motion data collection	Consecutive cases	Inpatient, outpatient, and medication costs
Ezenduka¹⁷	Nigeria	January to June 2013	Uncomplicated	≤5 years (10% of total)	Retrospective cohort	Cost of diagnostics and medication per case	Hospital medical records	Patient lists	Medication, diagnostics, co-medication
Ezenduka¹⁸	Nigeria	May to August 2013	Not reported	<5 years	Prospective cross-sectional sample	Cost per prescription	Medicine retail outlets survey	People who obtained medications from pharmacy outlets	Testing and medication costs
Comfort¹⁹	Zambia	2005–2008	Severe, malaria with anemia, cerebral or cerebral with moderate anemia	<5 years	Longitudinal retrospective based on non-random sample of available record	Cost per hospitalization	Electronic medical records	Patient lists of all cases admitted during study period	Admission costs
Onwujekwe²⁰	Nigeria	Not reported	Not reported	<5 years	Cross-sectional survey design with proportionate sampling	Cost per episode	Medical records, patient exit interviews	Patient lists and consecutive patients presenting for treatment	Cost of outpatient treatment to HC provider; out-of-pocket and other costs supported by patients
Osei-Kwakye²¹	Ghana	January 2009 to February 2010	Uncomplicated	1–59 months	Cross-sectional observational study	Cost per prescription/cost per encounter per diagnosed case	Hospital OPD data (medical record)	Consecutive patients presenting for malaria treatment	Testing and medication costs
Ayieko²²	Kenya	November 2004 to October 2005	Not reported	<5 years	Prospective and retrospective cross-sectional study	Caretakers	Medical records, patient interviews	All consecutive admissions to the health center	Inpatient costs
Sicuri³⁰	GhanaKenyaTanzania	Not reported	Uncomplicated malaria, cerebral malaria, cerebral malaria + neurological sequelae	<5 years	Model-based estimation of total cost of malaria episodes	Mean cost of care per episode and per child	Secondary sources derived from other literature; for comorbidity and complications: interviews with clinicians, health workers, managers of the malaria control program	Not applicable	Cost of treatment of uncomplicated malaria; cost of treatment of hospitalized cases; costs of comorbidity and cost of complications; household costs (health care services, transport, and other costs)

HC, health care; OPD, outpatient department.

Cost of Health Care Associated With an Episode of Malaria

Five studies^{16,19,20,22,30} reported data on inpatient costs for an episode of malaria, and three^17,18,20 reported data on outpatient costs (Table 2). Health care costs included the costs of diagnostics and treatment, drug costs, administration costs, and hospitalization costs.

Table 2

Inpatient and Outpatient Costs per Episode of Malaria to the Health Systems

Study	Cost Base Year; Unit	Malaria Type	Type of Health Facility	Drug Costs	Diagnostics	Other Costs	Hospital Stay Costs	Total Cost per Episode
Health care delivery type: Inpatient
Onwujekwe (Nigeria)²⁰	Base year NR, US$	NR	6 facilities (public, health care centers, mission)	2.48	0.34	Health personnel: 38.10Medical supplies: 7.37Utilities: 1.49		49.78
Ayieko et al. (Kenya)²²	2005, US$	NR	7 hospitals, mixed facilities	National: 4.90District: 3.90	National: 19.88District: 19.40	NR	National: 90.43District: 51.91	Per admission National: 115.18District: 75.22Per child treatedPublic regional or district hospitals: 56.87–98.62Mission hospital: 52.10–106.26
Comfort (Zambia)¹⁹	2008, US$	Severe, malaria with anemia, cerebral malaria	Government, second-level (Livingstone General Hospital)	NR	NR	Total costs for all malaria admissions in 2008: US$2557.88	NR	Per admission (year: 2008):Severe: 69.83Malaria with anemia: 69.53Malaria with severe anemia: 70.82Cerebral malaria: 69.69Cerebral with moderate anemia: 72.58
Ferrari (DRC)¹⁶	2014, US$	Severe malaria	Mixed facilities^a	Injectable drug cost QNN group Hospitals: 0.63Health centers: 1.22ART groupHospitals: 5.0Health centers: 7.45Oral drug cost^bQNN groupHospitals: 0.80Health centers: 1.34ART groupHospitals: 0.52Health centers: 0.54	Blood smearHospitals: 4.08Health centers: 1.09	Administration cost QNN group Hospitals: 4.32Health centers: 4.48ART groupHospitals: 1.16Health centers: 1.76	Inpatient cost QNN group Hospitals: 44.96Health centers: 15.45ART groupHospitals: 43.86Health centers: 14.96	Per patient Injectable QNN Hospitals: 53.99Health centers: 22.24Injectable ARTHospitals: 54.1Health centers: 25.26Oral QNNHospitals: 54.16Health centers: 25.19Oral ARTHospitals: 49.62Health centers:18.35
Sicuri (Kenya, Ghana, Tanzania)³⁰	2009, US$	Uncomplicated malaria, malaria hospitalization, severe anemia, cerebral malaria, cerebral malaria + neurological sequelae	NR	NR	NR	NR	NR	Health system cost per episodeKenya: 3.07–63.19Ghana: 3.20–136.35Tanzania: 1.94–53.21
Health care delivery type: Outpatient
Onwujekwe (Nigeria)²⁰	Base year NR, US$	NR	6 facilities (public, health care centers, mission)	1.93	Diagnostics: 1.45	NRHealth personnel: 25.20Medical supplies: 2.64Utilities: 0.31	NA	31.54
Ezenduka (Nigeria)¹⁷	Base year NR, US$	Uncomplicated	Public (medical center and teaching hospital)^c	7.47	NR	NR	NA	NR
Ezenduka (Nigeria)¹⁸	Base year NR, US$	Uncomplicated	Public	3.71^d,e	NR	NR	NA	Per prescription: 3.71

ACT, artemisinin-based combination; ART, artesunate; CI, confidence interval; DRC, Democratic Republic of Congo; NA, not applicable; NR, Not reported; QNN, quinine; US, United States.

Public health hospital (Institut Médical Evangélique, Kimpese, Bas Congo); one medium-sized, nonprofit, missionary hospital (St Luc Kisantu); and a medium-sized, government hospital (Centre Hospitalier Roi Baudouin). In addition, five rural health centers were selected within the same Health Zones (HZs; Health Centre Bita, Health Centre Menkao, Health Centre Ngeba, Health Centre CECO, and Health center La Famille).

Mean cost for oral quinine and Artesunate-Amodiaquine (AS-AQ).

Medical center is a health care facility which provides outpatient services. Teaching hospital is a tertiary health care facility providing a variety of specialized clinical and teaching services. It is the main referral public health facility in the state run by the federal government. Patients pay for services and their drugs at the point of delivery.

Artemether-pyrimethamine was the most used antimalarial drug (50.6%), followed by monotherapy sulphadoxine-pyrimethamine (18.8%). For all study age groups, total cost of medication (including co-medications) with artemisinin-based combination (ACT) averaged US$4.10 per prescription about twice the mean cost of treatment with monotherapy US$2.06 but the average medication cost varied noticeably across age categories. While it was highest for children under 5 years at US$3.74 (95% CI; US$3.11 to US$4.35), the lowest was observed for children aged between 5 and 12 at US$2.75 (95% CI; US$2.43 to US$3.06) per case.

The mean cost of medication (including co-medication such as antibiotics) per patient at the two public health facilities for children under <5 years was 1062 Naira. Costs data were standardized with US dollars, as calculated for the 2014 price year (Nigeria) [US$1= 158.553 Naira (2014)]. Exchange rates were obtained from the World Bank Data.

Most studies reported cost for severe malaria or malaria hospitalization with a total cost ranging from US$18.35 to US$136.35 per patient depending on the type of facility (health center or hospital) and complication to be treated (cerebral malaria, anemia) (Figure 2). If a patient was treated in a national hospital, the costs were higher (US$115.18) than if that same patient was treated in a mission hospital (US$106.26).²² Treatment per inpatient episode of malaria was more expensive in hospitals compared with health centers.¹⁶ The type of malaria was an important cost driver. Treatment for cerebral malaria with anemia or neurological sequelae was more expensive than uncomplicated and severe malaria in Kenya, Ghana, Tanzania, and Zambia.^19,30

Figure 2

Cost per inpatient malaria case with cost components when available. QNN, quinine; ART, artesunate.

Two studies reported data covering Kenya. Costs reported by Ayieko et al.²² (National: US$115.18, District: US$75.22) were slightly higher than those reported by Sicuri et al.³⁰ (range US$3.07–63.19). This could reflect limitations in the cost-analysis methodology used by Ayieko et al.,²² which reported a bed-day cost of hospitalization based on results of two studies each representing a single hospital. Bed-day costs vary significantly between hospitals especially due to differences in occupancy rates. The study authors mentioned that overcoming this limitation was difficult given the expense of conducting multiple formal hospital costing studies. In addition, a high level of presumptive malaria treatments (due to lack of accurate diagnosis) may have encouraged the use of the wrong drug, so total treatment costs could have been overestimated. Fewer studies reported cost for outpatient or uncomplicated malaria with a total cost per episode from US$1.94 to US$7.47 mainly based on drug cost (Figure 3). One study in Nigeria reported higher costs of US$ 31.53 per outpatient case due mainly to personnel costs.²⁰

Figure 3

Cost per outpatient malaria case with cost components when available.

In Uganda, antimalarial drugs delivered at health facilities were free for children aged <5 years with a diagnosis of uncomplicated malaria, thus placing the economic burden on the health care system rather on households.²⁷

Inpatient care of an uncomplicated episode (US$5.15) was more expensive than outpatient care (US$2.65),²⁰ with health personnel and medications being the major cost drivers. Limited data on outpatient delivery were reported.

Length of Stay in Hospital

Only two studies reported data on hospital length of stay.^16,22 Ferrari et al.¹⁶ reported that the average length of stay for patients with severe malaria ranged from 1.7 to 7.1 days, depending on treatment and type of health facility. Ayieko et al. evaluated patients with an unspecified malaria diagnosis, and reported an average length of stay ranging from 3.1 days in a mission hospital to 4.8 days in a district hospital.²²

Studies of Malaria Costs to Households

Characteristics of Included Studies

Ten studies^20,23–31 reported malaria costs to households (Table 3). Two of these^20,30 also reported costs to health systems. In addition, one abstract³² reported some information on hospitalization costs associated with severe malaria to households in Malawi. Two publications^20,23 reported results from the same study, a cross-sectional survey of household expenditure for children with malaria in Nigeria. Similarly, two publications^28,29 reported data from the same sample in Uganda. Only one study provided data on the distance to the closest health facility,²⁷ and only one reported data on the average household income.²⁵

Table 3

Characteristics of Included Studies on the Cost of Malaria Episodes to Households

Study	Country	Study Period	Definition of Malaria	Age Group	Study Type	Outcomes	Data Sources	Patient Recruitment/Sampling Technique	Costs Included
Etiaba²³Onwujekwe²⁰	Nigeria	Not reported	Not reported	<5 years	Survey	Household expenditure per case	Medical records/lists of admissions in study period	Two-stage sample: Purpose sample of 6 health facilities; systematic random sampling (households with children ≤5 years old)	Costs of all HC services privately paid for before and after the index dateHealth care costs during episode
Ewing²⁴	Malawi	June 2009 to February 2010	Uncomplicated (mild to severe)	<5 years	Cross-sectional survey	Household cost of seeking health care (self-initiation) given the number of children with febrile episodes (cost per case)	Direct interviews of caregivers	Ad hoc selected villages; cluster randomized sampling (target sample: 483 children ≤5 years)	Health care expenditure for services privately paid for;Travel and assistance direct costs; foregone income
Mujica-Mota²⁶	Malawi	November 2003 to March 2004	Not reported	<5 years	Survey	Mean reported household out-of-pocket costMean productivity costs	Direct interviews to household heads, complemented by participation of other household members	Two-stage cluster sampling based on enumeration areas and random households (as per expanded immunization program evaluation sampling)	For febrile episodes reported: Health care expenditure for formal services, self-prescribed drugs, traditional medicine; time used to obtain care
Castillo-Riquelme²⁵	Mozambique	June to August 2002	Not reported	<5 years	Survey	Health care expenditure, out-of-pocket expenditure, catastrophic expenditure	Family caretaker interviews	Purpose sample of six clusters in two countries and all households in cluster (high high-risk areas) or all patients’ lists in low low-risk areas	Direct expenditure for health care, out-of-pocket expenditure and accessory expenditure (food, travel)Days taken off work
Matovu²⁷	Uganda	March to June 2012	Uncomplicated	<5 years	Randomized controlled trial	Difference in direct and indirect cost of seeking care from centers compared with care obtained from community medicine distributors	Exit interviews of consecutive caregivers presenting for RCT follow-up	Convenience sample from participants into a clinical trial; versus two-stage cluster random sample of children visited by community medicine distributors	Direct expenditure for health care, out-of-pocket expenditure and accessory expenditure (food, travel); cost of time spent for travel and waiting time
Menon²⁹Orem²⁸	Uganda	November to December 2009	Not reported	<5 years	Survey	Total expenditure incurred for episodes of febrile children in 2 weeks prior to survey	Individual questionnaire administered to women aged 16–49 years from households in each cluster	Two-stage cluster sample—enumeration areas and systematic sampling with equal probability in the enumeration area	Expenses related to the medical consultations, hospitalization, medicines, and transportation, time off work
Sicuri³⁰	GhanaKenyaTanzania	Not reported	Uncomplicated malaria, cerebral malaria, cerebral malaria + neurological sequelae	<5 years	Model-based estimation of total cost of malaria episodes	Mean cost of care per episode and per child	Secondary sources derived from other literature; for comorbidity and complications: interviews with clinicians, health workers, managers of the malaria control program	Not applicable	Cost of treatment of uncomplicated malaria; cost of treatment of hospitalized cases; costs of comorbidity and cost of complications; household costs (health care services, transport, and other costs)
National Population Commission³¹	Nigeria	2006–2010	Not reported	<5 years	Cross-sectional survey	Mean expenditure for treatment of episode of fever	Interviews to all women aged 15–49 years from sampled households using Roll-Back Malaria questionnaires	Stratified two-stage cluster design based on administrative areas of the Population and Housing Census	Cost of medications, hospitalizations, visits, testing
Njau³²	Malawi	Not reported	Severe	<5 years (51%)	Not reported	Not reported	Not reported	Not reported	Hospitalization costs

HC, health center; RCT, randomized controlled trial.

Out-of-Pocket Costs Borne by Households

Studies reporting data on health care out-of-pocket costs to households for an episode of malaria are summarized in Table 4. Out-of-pocket costs include direct costs attributed to drugs, consultation, diagnostics and hospitalization, and indirect costs attributed to caregiver transportation.

Table 4

Out-of-Pocket Costs of Malaria Episodes to Households

Study	Cost Base Year	Mean Direct Medical Costs (US$)	Caregiver Transportation (US$)	Other (US$)	Total Out-of-Pocket Costs per Episode (US$)
Nigeria
Etiaba²³	Not reported	Inpatient: 23.43/monthOutpatient:12.69/month	—	—	Inpatient: 23.43/monthOutpatient: 12.69/month
Onwujekwe²⁰	Not reported	Inpatient (drugs): 5.15Inpatient (diagnostics): 1.25Inpatient (administration fees): 0.28Total direct medical (inpatient): 6.98Outpatient (drugs): 2.65Outpatient (diagnostics): 0.13Outpatient (administration fees): 0.31Total direct medical (outpatient): 3.16	Inpatient: 0.62Outpatient: 0.43	InpatientCosts before IPD: 3.11Others: 0.21OutpatientOthers: 0.1	Inpatient: 23.43/monthOutpatient:13.03/month
National population survey in Nigeria^31,a	2010	Mean expenditure for treatment of episode of fever^a: 6.35	Not reported	Not reported	Not reported
Mozambique
Castillo-Riquelme²⁵	2006	Consultation: Free for <5 years of ageMedication: 2.96Malaria test: 0.06	2.09	While waiting: 0.21	7.6/month
Malawi
Mujica-Mota²⁶	2006	Formal health facilityConsultation: Free for <5 years of ageMedication: 0.14Informal health facilityConsultation: 0.01Medication: 0.16	Formal: 0.30Informal: 0.12	Not reported	Formal: 0.44/monthInformal: 0.29/month
Ewing²⁴	Not reported	Childhood febrile episode by distance to formal health facilityDry season<5 km from hospitalConsultation: 0.01Treatment: 0.02Hard to reachConsultation: 0.02Treatment: 0.06Wet season<5 km from hospitalConsultation: 0.06Treatment: 0.08Hard to reachConsultation: 0.00Treatment: 0.07	Dry season <5 km from hospital: 0.2Hard to reach: 0.36Wet season<5 km from hospital: 0.33Hard to reach: 1.04	Not reported	Dry season <5 km from hospital: 0.23Hard to reach: 0.44Wet season<5 km from hospital: 0.47Hard to reach: 1.11
Njau (abstract)³²		Admission costsHospitals managed by CHAM: 14.75Government hospitals: 5.42		Non-hospital costs: 4.74	Not reported
Kenya
Sicuri³⁰	2009	UM: 0.81MO: 12.06MO + SA: 12.06CerM: 12.06CerM + NS: 22.17	Not reported	Not reported	11.83/episode
Tanzania
Sicuri³⁰	2009	UM: 0.47MO: 6.05MO + SA: 6.05CerM: 6.05CerM + NS: 8.71	Not reported	Not reported	5.46/episode
Ghana
Sicuri³⁰	2009	UM: 4.92MO: 27.17MO + SA: 82.77CerM: 27.17CerM + NS: 40.74	Not reported	Not reported	36.56/episode
Uganda
Matovu²⁷	2009	Medication: Free for <5 years of age	Urban^a: 0.78Rural^a: 0.111	Not reported	Urban: 0.47Rural: 0.18
Menon²⁹	2009	Private health facility: 7.14Public health facility: 8.64	Not reported	Not reported	7.58/month

CerM, cerebral malaria; CHAM, Christian Health Association of Malawi; IPD, inpatient department; MO, malaria hospitalization; NS, neurological sequelae; SA, severe anemia; UGX, Ugandan shilling; UM, uncomplicated malaria.

Cost data were standardized with US dollars, as calculated for the 2010 price year (Nigeria) and the 2009 price year (Uganda). Nigeria survey data originally reported average cost of treatment to be 871.7 Naira [US$1 = 150.298 Naira (2010)]. Study by Matuvo et al. (2009)²¹ originally reported mean travel costs to be 1,417 UGX and 257.9 UGX for urban and rural settings, respectively [US$1 = 2030.488 UGX (2009)]. Exchange rates were obtained from the World Bank data.

The studies reported out-of-pocket payment as cost per episode or as cost per month. Values reported ranged from US$0.23 to US$36.56 per episode and US$0.29 to US$23.43 per month. Although the studies were heterogeneous in malaria severity and cost items reported, some trends were observed. The elements that made the largest contribution to total out-of-pocket costs per episode were transportation and complications in relation to malaria severity.

Transportation costs made the largest contribution to direct costs to households in Malawi, Mozambique, and Uganda. In Mozambique,²⁵ subjects spent US$7.6 per episode, of which 39% was attributable to medicines and more than half to transport for the sick person and the caregiver. In Malawi, even though consultation is free for children aged <5 years, households incurred costs for transportation to public health facilities.²⁶ It was also estimated that overall 27% of formal services users with children aged <5 years paid out-of-pocket costs for services received as a result of fever, related either to travel (16%) or medication (11%) costs. Malawian households living in villages far from hospital incurred greater out-of-pocket costs.²⁴ Travel costs made the largest contribution to direct cost and increased significantly for those living in hard-to-reach villages between the dry and wet seasons (Dry: US$0.36; Wet: US$1.04, P = 0.04). Direct costs for malaria episodes were greater for those living in hard-to-reach locations compared with villages near the hospital in both dry (US$0.44 v. US$0.23, P = 0.04) and wet (US$1.11 v. US$0.47, P = 0.08) seasons.²⁴ In Uganda, caregivers living in urban areas spent significantly more on transport to reach health centers than those in rural areas.²⁷ This is because people in urban areas tended to hire motor cycles or public transport vehicles to reach health centers, while those from rural areas walked or used their own (or borrowed) bicycles. On average, caregivers in the urban areas spent four times more than those in rural areas.

Although malaria severity type was not reported by some studies, it was possible to see a trend in out-of-pocket costs associated with hospitalization and treatment. The treatment costs for severe malaria cases were higher and potentially catastrophic to the majority of households particularly in Nigeria, Uganda, Ghana, Kenya, and Tanzania. In a study by Sicuri et al.,³⁰ Ghanaian households needed to support higher direct costs (US$36.56/episode) compared with Tanzania (US$5.46/episode) and Kenya (US$11.83/episode), due to more expensive treatment and higher medical service costs, which include high health personnel salary. For cerebral malaria with neurological sequelae, households in Ghana had the highest direct medical costs (US$40.74) followed by Kenya (US$22.17) and Tanzania (US$8.71). In Nigeria, inpatient costs were greater than outpatient costs averaging to US$12.69 and US$23.43 per episode, respectively.²⁰ This was due to the cost of hospitalization, special services, comorbidities, and other systemic complications of severe malaria. These complications increase the time spent in hospital, thereby increasing costs.²⁰ Nigerian households also bear the costs of microscopy tests in inpatient departments. Although the national health insurance scheme was launched in Nigeria years ago to reduce the economic burden of illness borne by individuals, none of the respondents had any form of health insurance. In Uganda,²⁹ caregivers incurred US$7.58 total costs per episode, and costs were similar at either a private or public health facility. The authors also estimated that among those families with a febrile child who sought care, expenses were 4.3% of an average total monthly income per febrile episode. However, it is not clear whether these costs were largely attributed to medication, diagnostics, or other medical elements.

Non–Health Care Costs Associated With Productivity Loss Due to Malaria and Value of Time Lost to Households Due to Seeking Health Care

Table 5 summarizes information from studies reporting data on productivity loss in monetary value or days and time lost to households due to seeking health care for malaria. Three studies reported monetary value of productivity losses ranging from US$0.43 to US$235.34 per episode.^18,33,34 The number of days lost were reported from three studies and ranged from 4.8 to 6 days per episode.^15,17,34 Regarding the time spent to seek for health care, two studies reported ranges from 16 to 158 minutes.

Table 5

Non–Health Care Costs Associated With Productivity Loss for Malaria Episodes and Value of Time Lost to Households Due to Seeking Health Care

Study	Cost Base Year, Currency	Caregivers’ Reported Productivity Loss for Entire Episode of Malaria	Mean Duration of Episode	Mean Days Lost	Travel Time to Facility	Waiting Time at Facility
Tanzania
Sicuri³⁰	2009, US$	Uncomplicated malaria: US$3.48Malaria hospitalization: US$15.92Malaria hospitalization + severe anemia: US$22.17Cerebral malaria: US$15.92Cerebral malaria with neurological sequelae: US$99.46		Not reported	Not reported	Not reported
Ghana
Sicuri³⁰	2009, US$	Uncomplicated malaria: US$1.4Malaria hospitalization: US$26.83Malaria hospitalization + severe anemia: US$59.31Cerebral malaria: US$27.34Cerebral malaria with neurological sequelae: US$77.82		Not reported	Not reported	Not reported
Kenya
Sicuri³⁰	2009, US$	Uncomplicated: US$8.81Malaria hospitalization: US$23.72Malaria hospitalization + severe anemia: US$38.8Cerebral malaria: US$23.72Cerebral malaria with neurological sequelae: US$235.23		Not reported	Not reported	Not reported
Malawi
Ewing²⁴	Base year not reported, US$	Childhood febrile episode by distance to formal health facility^aDry season<5 km from hospital: US$2.81Hard to reach: US$4.69Wet season<5 km from hospital: US$3.66Hard to reach: US$4.47		Not reported	Not reported	Not reported
Mujica-Mota²⁶	2006, US$	Overall earnings losses (median) for childhood febrile illness by health facility^bFormal: US$0.43Informal: US$0.64	Formal: 6 daysInformal: 4.8 days	Overall work/study days missed (median)Formal: 2.8 daysInformal: 2.5 days	Formal: 30 minInformal: 15 min	Formal: 30 minInformal: 1 min
Mozambique
Castillo-Riquelme²⁵	2006	Not reported	6 days	Days of labor substitution^c: 0.6Days taken off school/work: 1.1Days of caregiver: 2.9	Not reported	Not reported
Uganda
Matovu²⁷	Not reported	Not reported	Not reported	Not reported	Uncomplicated malaria by settingRural: 90 minUrban: 58 min	Uncomplicated malaria by settingRural: 57 minUrban: 100 min
Menon²⁹	2009	Not reported		Time away from regular duties: 4.9 days

This cost represents cost of time caring.

Formal health care facility (hospital inpatient, hospital outpatient, health center, dispensary, and private clinic), informal drug use (drug self-medication, pharmacy/chemist, shop).

Labor substitution is defined as another person doing the job of the sick person.

Two studies^24,30 reported information on productivity loss covering Tanzania, Ghana, Kenya, and Malawi. In the study by Sicuri et al., households experiencing cerebral malaria with neurological sequelae in Kenya had the highest economic burden with large productivity losses. Average indirect costs were higher in Kenya, at close to US$8 per uncomplicated episode. This figure fell to US$1.4 in Ghana, where productivity losses were lower due to the lower minimum wage. Indirect costs increased sharply for hospitalized cases, and cases with neurological sequelae had the highest costs: US$77.82, US$99.46, and US$235.23 in Ghana, Tanzania, and Kenya respectively. In Malawi,²⁴ people living in hard-to-reach villages were less likely to attend a formal health facility compared with those living near the hospital. Hard-to-reach villages were as likely to attend in both dry and wet seasons. Indirect costs represented the main economic burden for households. Most indirect costs were due to time caring at home (Table 5). The cost of time spent caring was greater in hard-to-reach villages (US$4.69) compared with villages near the hospital (US$2.81) in the dry season (P = 0.02), but did not differ significantly in the wet season (P = 0.12). In addition, Malawian carers of feverish young children were as likely to lose earnings in a formal health care facility as in informal care (P = 0.60). It was not possible to make a comparison between Malawi and the other three countries, due to lack of information on malaria-confirmed diagnosis.

Four studies^25–27,29 reported information on the time lost to households due to seeking health care, covering Mozambique, Malawi, and Uganda. The number of days lost was higher in Uganda (close to 5 days) than in Mozambique and Malawi (close to 3 days; Table 5). Information on episode duration from Uganda was not reported, so it is not possible to say whether the higher average number of days lost in Uganda could be associated with a longer duration of malaria episodes in Uganda compared with the duration of 6 days in Malawi (Table 5). Travel and waiting times at the facility were longer in Uganda (up to 90 minutes) than in Malawi (up to 30 minutes) regardless of malaria diagnosis and urban/rural setting (Table 5). Households in rural areas in Uganda²⁷ travelled for significantly longer (P < 0.001), but their waiting time was shorter than for urban households (P < 0.001). The combined effect of travel and waiting time was not significantly different between rural and urban households (P = 0.289). Caregivers travelled an average of 1.5 km to reach a health facility.

Risk of Bias Assessment

Table 6 reports the limitations associated to the studies included in the review.

Table 6

Identification of Risks of Bias (i.e., Limitations) to the Identified Studies Reporting Resources Use and Cost Data

Study	Risk Flagged (Yes/No)	Limitations Associated to the Study
Ferrari¹⁶	Yes	•Limitations in the study design (e.g., a new vial of quinine was used for every dose, which is not reflective in the real word)•Underestimation of total treatment costs (e.g., costs related to supportive measures and the presence of comorbidities were not analyzed)
Onwujekwe²⁰	Yes	•Potential inaccuracy of the data due to the retrospective design
Ayieko²²	Yes	•Limitations in the approach used to determine bed-day costs•Underestimation of pre-admission costs, as outpatient facilities were not included in this study
Menon²⁹	Yes	•Overestimation of costs as the survey was conducted during peak malaria transmission season•Potential bias in the selected sample size
Orem²⁸	Yes	•Survey used does not serve the purpose of assessing the patterns of treatment seeking behavior for children under five with malaria•Potential data collection errors•As household real income were not included in the survey, wealth had to be used as a proxy•Regression diagnostic tests were not performed to ensure that the binomial logit and Log-lin models were the most appropriate
Comfort¹⁹	Yes	•Limitation in the quality of the hospital data gathered•Small sample size that is unrepresentative of the entire population•Lack of comprehensive data across subgroups, which creates large variations in costs (i.e., overestimating the real cost difference)•Overestimation of number of malaria visits due (authors not able to distinguish between confirmed malaria and clinical malaria)
Matovu²⁷	Yes	•Potential inaccuracy of the data due to the retrospective design and limitations associated to the collection of data
Mujica-Mota²⁶	Yes	•Limitations associated to the method of household selection (non-representative sample size)•Limited evidence gathered to allow for a solid conclusion
Ezenduka¹⁸	Yes	•Potential bias in the selected sample size•Lack of comprehensive diagnostic information gathered (due to inadequate documentation)
Castillo-Riquelme²⁵	Yes	•Collected results might represent the “worst case” scenario, as the survey was conducted just after the high malaria season
Ezenduka¹⁷	Yes	•Potential bias in the selected sample size
Sicuri³⁰	Yes	•Underestimation of true costs (e.g., underestimation of incurred costs in households)
Ewing²⁴	Yes	•Potential inaccuracy of the data as findings are based on the caregiver’s responses to recall an episode of malaria that had happened in the past
Osei-Kwakye²¹	Yes	•No follow-up of patients due to the cross-sectional design•Potential bias in the data collection method (e.g., uncertainty if a child was treated for malaria or not)
Etiaba²³	Yes	•The data collected for health seeking and comorbidity were collected on different study groups and so statistical conclusions could not be drawn
Njau³²	Yes	•Potential bias in the selected sample size•Potential inaccuracy of the data as patients had to recall cost incurred after being discharged from the hospital
National Population Commission³¹	Yes	•Nonsampling errors (i.e., mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household and misunderstanding of the questions)•Data entry errors

Potential inaccuracy of the data due to the retrospective design was the most common limitation raised across studies. Data collected might have been overestimated/underestimated as patients and/or caregivers had to recall the cost incurred to treat an episode of malaria. Additionally, most of the studies failed to describe the diagnosis procedure (often due to inadequate documentation) and thus reliability of diagnosis remained questionable.

Discussion

To our knowledge, this is the first systematic review of published cost data on the management of malaria episodes in children aged <5 years in sub-Saharan Africa. Seventeen studies covering nine countries allowed us to understand how malaria is managed in sub-Saharan countries and served to answer the research question of this systematic literature review.

Several studies estimated the cost of a malaria episode in the health system perspective, in inpatient or outpatient settings. These costs varied between the type of facility in which malaria was treated and the severity of malaria.^19,27 The mean cost per severe malaria case treated as inpatient was US$60.44 (Min: 18.35; Max: 136.35), with the lowest costs reported from health centers in the Democratic Republic of Congo and highest cost in Ghana hospitals.¹⁰ Regarding outpatient care, the costs reported showed broader disparity with an average cost of US$8.49 and median cost of US$3.46 (Min: 1.94; Max: 31.53).

The current data provide a good level of information on the cost of malaria in some sub-Saharan countries; however, several data gaps were noted. Studies reporting out-of-pocket costs of malaria episodes to households were heterogeneous, covering Nigeria, Mozambique, Malawi, Kenya, Tanzania, Ghana, and Uganda. No studies reported data from other sub-Saharan African countries (i.e., data were missing for more than 20 countries). Furthermore, cost components varied between studies. Only two studies²⁰ stated clearly how malaria cost was reported (“cost per case of malaria” and “cost per episode per child,” respectively). The lack of a clear case definition was a major limitation when analyzing the data, leading to heterogeneous cost results in different studies. Few studies specified the type of antimalarial treatment assigned to patients. Only Ezenduka et al.¹⁸ and Ferrari et al.¹⁶ clearly reported that participants were either on monotherapy (quinine) or ACTs, with ACTs being more expensive.

It was not possible to make meaningful comparisons between countries and studies. Only one publication, a model-based study, reported cost estimates from several countries obtained using consistent methods and thus allowed direct between-country comparisons. Total costs per episode in this study were lower in Tanzania than in Ghana or Kenya. Most other studies lacked information on malaria severity and the method of diagnosis for malaria treatment within health care facilities, indicating a potentially high incidence of overdiagnosis and overuse of antimalarial drugs.

Ten full publications^20,23–31 and one abstract³² estimated the costs of an episode of malaria to households, covering aspects such as out-of-pocket costs, time lost in travelling to and/or waiting at health care facilities, and productivity costs associated with caring for a child with malaria. Transportation costs made the largest contribution to direct costs to households. Findings illustrate the large economic burden to households for treating one episode of malaria.

It is important to note that household cost studies were mainly relying on the participants’ ability to recall costs accurately, while the provider cost studies relied on formal records. Another important difference relates to the case definition employed. Cost studies conducted at health facilities allow identifying patients who have been medically diagnosed with malaria, although this is not always well stated as mentioned above. In contrast, household surveys may use a less specific diagnosis for recruitment, such as families with a child who has experienced an episode of fever and may therefore include conditions other than malaria.

Despite a policy of free treatment for children aged <5 years at public health facilities in some sub-Saharan African countries such as Malawi, Uganda, Mozambique, and Nigeria, many households still pay for malaria treatment as a result of frequent scarcity of antimalarial drugs in government health facilities, and bear a proportion of diagnosis costs particularly at inpatient departments.^20,25 Our review showed that out-of-pocket payments for malaria episodes ranged from US$5.46 in Tanzania to US$36.56/episode in Ghana. Out-of-pocket costs increased sharply in relation to malaria severity and complications. Studies from Nigeria and Kenya implied that most households were uninsured, paying for their health care directly from earnings and savings. In Kenya, all public health facilities charge user fees at the point of care which can be at similar levels to the user fees charged by mission hospitals, and these payments were a major challenge to households.

Our review indicated that the burden on households of transportation to health care facilities varied depending on location and seasonality. Transportation costs were identified for Nigeria, Mozambique, Malawi, and Uganda with the highest burden observed in Mozambique.

Considering the out-of-pocket payments, our findings highlight the potentially catastrophic payments incurred by care for a febrile child in sub-Saharan African countries, which could push households into extreme poverty because of health expenses.

Our review reported that indirect costs related to productivity loss also increased sharply for severe hospitalized cases and cases with neurological sequelae. The number of days lost by caregivers ranged from 3 to 5 days.

Our findings are comparable with other reviews conducted on the economic burden of malaria treatment to households, one of which concluded,

For many people in sub-Saharan Africa the costs for the treatment of one case of malaria are such a high percentage of monthly income/expenditure that they lead to (household) catastrophe; on top of this, few countries in sub-Saharan Africa have healthcare insurance or subsidies for malaria treatment available, leading to extra catastrophe; and lastly, not every healthcare facility has appropriate treatment for malaria available, resulting in many ill people receiving incorrect or less effective treatment.³⁵

Several limitations were noted in the studies included in this systematic literature review. First, some papers did not state the cost base year, an important consideration since prices change over time. When costs were converted, the year of publication was used to inflate and convert cost. This approach might be subject to underestimation or overestimation of costs. Second, there was a lack of information regarding the number of episodes and the definition of an episode of malaria was not always well specified in the publications. Some provided specific information, for example, that an episode was equivalent to having fever 2 weeks prior to data collection,^26,29 but the majority did not describe it. As a result, it was not possible to link costs to the treatment of particular symptoms. Some of the studies had a retrospective design, which is a limitation for household studies as people are unlikely to have detailed records of the costs incurred, and their recollections may be incomplete or inaccurate. Information on the duration of malaria episodes was also missing from some studies, so it was not possible to assess whether differences in the number of days lost between countries could be associated with differences in duration of malaria episodes. The systematic review process was also limited as not all languages were included. However, we included studies written in English and French, which decreases the potential for language bias.

Conclusion

The cost to the health system varied from US$1.94 to US$31.53 for outpatient cases to a range of US$18.35 to US$136.35 for inpatient cases. The highest cost was related to severe cases, particularly cerebral malaria cases with neurological sequelae. Families bear a large share of the burden through out-of-pocket payments of medical care and loss in income due to time off work. Overall, the publications identified in this systematic review provided information focused on a small number of sub-Saharan countries with some methodological gaps.

Supplemental Material

3.2_Supplemental_-_PRISMA_checklist_BOI_online_supp – Supplemental material for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review

Supplemental material, 3.2_Supplemental_-_PRISMA_checklist_BOI_online_supp for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review by Amira El-Houderi, Joëlle Constantin, Emanuela Castelnuovo and Christophe Sauboin in MDM Policy & Practice

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Focus_On_Patient_REVISED.rjf_online_supp – Supplemental material for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review

Supplemental material, Focus_On_Patient_REVISED.rjf_online_supp for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review by Amira El-Houderi, Joëlle Constantin, Emanuela Castelnuovo and Christophe Sauboin in MDM Policy & Practice

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Supplemental material, Manuscript_REVISED_supplement_PICOS_online_supp for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review by Amira El-Houderi, Joëlle Constantin, Emanuela Castelnuovo and Christophe Sauboin in MDM Policy & Practice

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Supplemental material, Manuscript_REVISED_supplement_search_terms_online_supp for Economic and Resource Use Associated With Management of Malaria in Children Aged <5 Years in Sub-Saharan Africa: A Systematic Literature Review by Amira El-Houderi, Joëlle Constantin, Emanuela Castelnuovo and Christophe Sauboin in MDM Policy & Practice

Footnotes

Acknowledgements

The authors would like to thank Carole Nadin (Fleetwith Ltd, on behalf of GSK) for medical writing assistance and Business & Decision Life Sciences platform for editorial assistance and manuscript coordination, on behalf of GSK. Fabien Debailleul coordinated publication development and editorial support.

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Amira El-Houderi, Joëlle Constantin, and Emanuela Castelnuovo report no conflict of interest. Christophe Sauboin is an employee of the GSK group of companies and holds shares in the GSK group of companies.

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: GlaxoSmithKline Biologicals SA (Rixensart, Belgium) funded this study and all costs related to the development of the related publications.

Author Contributions

All authors comply with the ICMJE criteria for authorship. AE-H, EC, and CS were involved in the conception or the design of the study/project. AE-H, JC, and EC participated in the collection or generation of the data. AE-H, JC, EC, and CS performed the study/project. AE-H and CS contributed to the material/analysis tools. AE-H, JC, EC, and CS were involved in the analyses or interpretation of the data. All authors read and approved the final manuscript.

ORCID iD

Christophe Sauboin

Supplemental Material

Supplementary material for this article is available on the Medical Decision Making Policy & Practice website at .

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