Literature DB >> 27941101

Feasibility of Malaria Diagnosis and Management in Burkina Faso, Nigeria, and Uganda: A Community-Based Observational Study.

IkeOluwapo O Ajayi1, Jesca Nsungwa-Sabiiti2, Mohamadou Siribié3, Catherine O Falade4, Luc Sermé2, Andrew Balyeku3, Chinenye Afonne5, Armande K Sanou2, Vanessa Kabarungi3, Frederick O Oshiname6, Zakaria Gansane2, Josephine Kyaligonza3, Ayodele S Jegede7, Alfred B Tiono2, Sodiomon B Sirima2, Amidou Diarra2, Oyindamola B Yusuf1, Florence Fouque8, Joëlle Castellani9, Max Petzold10, Jan Singlovic8, Melba Gomes8.   

Abstract

BACKGROUND: Malaria-endemic countries are encouraged to increase, expedite, and standardize care based on parasite diagnosis and treat confirmed malaria using oral artemisinin-based combination therapy (ACT) or rectal artesunate plus referral when patients are unable to take oral medication.
METHODS: In 172 villages in 3 African countries, trained community health workers (CHWs) assessed and diagnosed children aged between 6 months and 6 years using rapid histidine-rich protein 2 (HRP2)-based diagnostic tests (RDTs). Patients coming for care who could take oral medication were treated with ACTs, and those who could not were treated with rectal artesunate and referred to hospital. The full combined intervention package lasted 12 months. Changes in access and speed of care and clinical course were determined through 1746 random household interviews before and 3199 during the intervention.
RESULTS: A total of 15 932 children were assessed: 6394 in Burkina Faso, 2148 in Nigeria, and 7390 in Uganda. Most children assessed (97.3% [15 495/15 932]) were febrile and most febrile cases (82.1% [12 725/15 495]) tested were RDT positive. Almost half of afebrile episodes (47.6% [204/429]) were RDT positive. Children eligible for rectal artesunate contributed 1.1% of episodes. The odds of using CHWs as the first point of care doubled (odds ratio [OR], 2.15; 95% confidence interval [CI], 1.9-2.4; P < .0001). RDT use changed from 3.2% to 72.9% (OR, 80.8; 95% CI, 51.2-127.3; P < .0001). The mean duration of uncomplicated episodes reduced from 3.69 ± 2.06 days to 3.47 ± 1.61 days, Degrees of freedom (df) = 2960, Student's t (t) = 3.2 (P = .0014), and mean duration of severe episodes reduced from 4.24 ± 2.26 days to 3.7 ± 1.57 days, df = 749, t = 3.8, P = .0001. There was a reduction in children with danger signs from 24.7% before to 18.1% during the intervention (OR, 0.68; 95% CI, .59-.78; P < .0001).
CONCLUSIONS: Provision of diagnosis and treatment via trained CHWs increases access to diagnosis and treatment, shortens clinical episode duration, and reduces the number of severe cases. This approach, recommended by the World Health Organization, improves malaria case management. CLINICAL TRIALS REGISTRATION: ISRCTN13858170.
© 2016 World Health Organization; licensee Oxford Journals.

Entities:  

Keywords:  Africa; artemisinin combination treatment; malaria treatment access; prereferral treatment; rapid diagnostic tests

Mesh:

Substances:

Year:  2016        PMID: 27941101      PMCID: PMC5146694          DOI: 10.1093/cid/ciw622

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


Plasmodium falciparum malaria now causes 214 million cases and 438 000 deaths, mainly in young African children [1]. Parasitological diagnosis through microscopy or rapid diagnostic tests (RDTs) is recommended so that only patients with confirmed malaria are treated with artemisinin-based combination therapies (ACTs) [2], thus reducing ACT wastage and prompting timely management of other infections with similar symptoms [3]. RDTs are relatively easy to use. For severe malaria, transfer to hospital for parenteral artesunate treatment, or rectal artesunate treatment before referral, is beneficial if the journey to hospital is likely to take several hours [2, 4]. Effective malaria management requires that all components be in place—trained health workers (community and facility), provider adherence to treatment guidelines, commodity availability, and patient access and adherence to treatment and referral advice. African malaria-endemic countries have improved parasitological diagnosis from 36% of suspected malaria cases tested in 2005 to 65% in 2014 [5]. The percentage of ACT coverage in 2014 for patients with P. falciparum malaria is reported to be 100% from 2012 levels of 96% in Burkina Faso, 36% in Nigeria, and 66% in Uganda, but this increase is primarily due to RDT use in the public sector [1]. In many rural malaria-endemic areas of Africa, children are unable to access effective diagnosis or malaria treatment because public facilities are distant. Therefore, the target of ACT use on the basis of parasitological diagnosis is not met often because children go preferentially to the private sector, where treatment is more readily available but reliable diagnosis is not [1]. Over-the-counter drugs are the first choice for two-thirds of suspected malaria cases in Uganda [6], with comparable proportions elsewhere [7]. Thus, the organization of health systems to facilitate access to reliable diagnosis and prompt treatment continues to be challenging in most low-resource African settings. We report on research undertaken to understand what it takes to improve coverage for 3 countries (Burkina Faso, Nigeria, and Uganda) chosen because they are in the top 10 countries that contribute 80% of global malaria cases, and in the top 15 that contribute 78% of malaria deaths [1]. Our hypothesis was that prompt, community-based access to RDT diagnosis and treatment would expand and expedite access, shorten episode duration, and reduce private costs of caring for the child. In addition, prompt treatment should reduce severe malaria and the public costs of managing episodes that have evolved to severe malaria and require admission, and expedite management of infections that were erroneously assumed to be malaria.

METHODS

Study Sites and Health Care

The study was carried out in rural areas of Burkina Faso (health area of Sidéradougou, Health District of Mangodara), Nigeria (Ona-Ara local government area), and Uganda (Sheema and Kayunga districts). In Burkina Faso, patients seek care from CHWs, traditional healers, faith homes, drug shops/drug hawkers, dispensaries, and health centers (“centre médical”). For this study, 45 villages were chosen in the health area of Sidéradougou, Mangodara District; CHWs refer very sick patients to the next level of care, “Centre de Santé et de promotion sociale” (managed by a nurse), which refers patients to a health center (managed by a medical doctor), and from there to the regional hospital. There is only 1 inpatient health center in the district. Care given at the Centre de Santé, health center, or hospital is fee-based. A consultation requires approximately 200 West African CFA Franc (XOF) (US Dollars [USD] $.33), and admitted patients pay for their bed. In Nigeria, 33 study villages were selected for this study. A similar pattern of care to Burkina Faso is observed—use of traditional healers, traditional birth attendants, CHWs, health centers, maternity wards, and private clinics (usually managed by a nurse with admissions shorter than 24 hours) as well as shops/patent medicine sellers/drug hawkers where quinine, antibiotics, and antimalarials without prescription are available. In the study sites, there are 8 health centers managed by facility-based CHWs and community health extension workers. The centers are open at all hours if there are admissions; in the absence of admissions they close around 4–6 pm. The policy is that consultations, drugs, and bed costs at public facilities are provided without charge for young children aged <5 years, although caregivers pay for registration cards and injections. Uganda has a similar variety of traditional healers, faith homes, drug shops, and private clinics and several grades of health centers. The 84 study villages in Uganda (of which 32 participated in the preintervention study) have 2 grade IV admitting health centers, 1 in each district, with no district hospital. Medical care is provided without charge, but patients pay for hospital registration and medications.

Commodities

Before the intervention, no RDTs, ACTs, or rectal artesunate were routinely available through CHWs in any of the communities. Nationally approved RDTs (Malaria histidine-rich protein 2 [HRP2] [Pf], CareStart™ in Burkina Faso, Bioline SD in Nigeria and Uganda) and ACTs (Coartem) supplied in 2 prepacked weight- and age-specific doses were procured by the World Health Organization (WHO) for the study in Burkina Faso and Nigeria and through the Global Fund in Uganda. In Nigeria, the Federal Ministry of Health also provided RDT kits and the Primary Health Centre provided some Coartem. Rectal artesunate was provided for all countries by the WHO TDR (Knoll/Catalent/Scanpharm) in October 2014. Treatment with rectal artesunate was covered by insurance.

Intervention: Identification and Training of CHWs

CHWs were either not available (Uganda) or barely utilized (Burkina Faso and Nigeria) prior to the study; thus, the study began by supporting the identification and training of CHWs according to national guidelines in all 3 countries. Communities were visited, the study was explained, and community agreement was obtained to participate. If communities agreed, they were informed that existing CHWs would be selected and trained for the intervention; if not, available community members to be trained as CHWs would be identified using local criteria (residence, availability, literacy, and acceptability) before training. In the intervention, each CHW would be responsible for his or her own catchment area. Once CHWs were identified, training was carried out by health staff (Burkina Faso and Uganda) or the investigative team (Nigeria) in sessions that covered theory and practice [8]. Training included diagnosis and recognition of uncomplicated and severe illness with danger signs, counting respiratory rate, diagnosis using RDTs (preparing, reading, recording results), and treatment dosage by age. For every RDT-positive case, CHWs were taught to explain RDT results and emphasize the importance of providing the child with complete doses of Coartem tablets. All children who did not improve were to be brought back. CHWs were taught to use symptoms to identify children eligible for rectal artesunate, obtain informed consent before treatment, and explain the importance of proceeding to hospital to complete management. They were taught to document treatment and drugs, periodically reviewed by supervisors. Children treated with rectal artesunate were to be followed up at home for outcome. In Nigeria, CHWs were trained to prepare a thick blood smear for later microscopy in the project laboratory [9]. Training was for 5 days in Uganda and 3 days in Nigeria (with an additional 2 days for severe malaria) and 3 days in Burkina Faso. Training was evaluated through pre- and post-tests [8]. A total of 31, 40, and 164 CHWs passed all certification exams in Burkina Faso, Nigeria, and Uganda, respectively, and were authorized to diagnose and treat uncomplicated and severe malaria, but in Burkina Faso 19 CHWs failed the severe malaria component necessary for use of rectal artesunate, and were only authorized to diagnose and use ACTs. Each CHW was issued with the necessary commodities and other materials at the time of certification. All countries implemented the combined intervention of RDTs, ACTs, and rectal artesunate via trained CHWs from October 2014 to October 2015; Nigeria began earlier with RDTs and ACTs in December 2013.

CHW Costs and Logistics

CHWs were not paid in the participating countries in the study. In Burkina Faso, CHWs bought subsidized Coartem and were authorized to retail the same to patients (as per government policy) at 100 XOF (USD $.17) for children up to 36 months and 200 XOF (USD $.33) for children between 37 and 59 months giving them a small profit on each treatment. In Nigeria, CHWs were provided gifts (during festivities) and performance motivation; CHWs’ texts/phone calls to the team regarding specific patients were reimbursed and a stipend was given for team meeting days. Patients were not charged for ACTs in Nigeria and Uganda, and rectal artesunate was provided at no cost to the patient in all countries.

Supervision

In Nigeria, after study initiation, the study team supervised CHWs with visits for review and correction of case report forms (CRFs)/registers, replenishment of drug supplies, and regular monitoring. In Uganda, the 5 nurses, 2 clinical officers, and 3 other facility staff belonging to the 7 facilities in the study areas were assigned supervisory roles and trained to support and supervise CHW performance, manage the supply chain, and support CHWs to manage referrals. Quarterly meetings were organized with transport allowance for CHWs to review progress. Supervision also occurred during a monthly visit posttraining.

Involvement of Health Structure Including Primary Facilities and Hospitals

In each country, meetings were held with local health staff informing them about the study, its purposes and procedures, and their roles in the study, especially for referrals to their facility. In Burkina Faso, 16 nurses and 1 physician (from the only facility) were trained; training included supervision of CHWs. There was refresher training on management of severe patients in the community, facility completion of documentation, tracking of adverse events, commodity and supply accountability, and supervision of CHWs. Field laboratory technicians were retrained in microscopy and storing blood slides for subsequent expert rereading. Medical staff and the inventory controller received stipends. In Nigeria, visits were made to 8 primary health centers in the study area to explain the study to nurses, community health extension workers (CHEWs), junior CHEWs, 1 doctor, and 19 local health staff; all including the malaria focal person for the area were trained. The study covered all training costs including transport. In Uganda, the intervention was organized and implemented by the Ministry of Health. Thus, the procedure for identification, training, supervision, monitoring, and evaluation of CHWs was integrated with routine care procedures for scale-up of integrated Community Management of Malaria (iCCM).

Documentation of Treatment/Quality Control

Special registers for Burkina Faso and Nigeria and routine iCCM registers in Uganda were utilized to document information on sick children seeking treatment. Every patient assessed was registered and data were obtained on date/time of visit, gender, date of birth, symptoms, known allergies, RDT results, and treatment given. In Burkina Faso and Nigeria, RDT cassettes were collected and reread centrally; In Burkina Faso, blood slides of referred cases were read at the referral hospital and reread centrally [10]. In Nigeria, thick blood smears were made from the same blood spot used for RDTs for all cases [9].

Household Surveys

The impact of the intervention was evaluated through pre- and post-quantitative household surveys to assess impact (changes in treatment-seeking behavior), qualitative surveys that documented acceptability of the program [11], and an economic evaluation of the package [12]. In addition, CHW performance was assessed. Except for use of French in Burkina Faso, household interviews were in the local languages (Yoruba in Nigeria; Luganda and Lunyankole in Uganda), with forms pretested before use. Trained interviewers were fluent in local languages, experienced in data collection, and with a minimum of secondary school certificate in Nigeria and undergraduate degree in Uganda and Burkina Faso. They were trained together, tested in the language of interview and in CRF completion. Ten interviewers were selected in Burkina Faso and Nigeria and 8 in Uganda for the pre-intervention phase and 10 in Burkina Faso, 13 in Nigeria, and 20 in Uganda for the intervention phase. Household surveys were carried out before the intervention and once the intervention had begun. A 2-stage sampling process was used to select households for the survey: First, participating villages were randomly selected, and within villages, households were randomly selected. Households whose caregiver was not present during the illness or who refused to give consent were not interviewed. When a household had >1 sick child within the prior 2 weeks, the first child to be sick was chosen in Burkina Faso, all in Nigeria, but the episode of the youngest child was chosen in Uganda. If the caregiver was absent, the interviewer returned to reattempt the interview; a futile second attempt in Burkina Faso and Uganda and third attempt in Nigeria classified the household as lost for interview.

Sample Size Calculations and Statistical Analyses

In calculating our sample size for household surveys, we assumed that the average number of children aged <5 years per household was 2, except in Uganda where the average was assumed as 1.4. Requiring a precision of ±5% points for the point estimates of proportions, a minimum sample size would be 384 for the worst-case scenario of 50%. Accounting for a design effect of 2 for clustering on household level would give us a sample size of 2 × 384 = 768 interviews before and during the intervention in each country. We achieved interviews with 1856 caretakers in Burkina Faso (514 before, 1342 after), 1560 in Nigeria (775 before, 785 after) and 1529 in Uganda (457 before, 1072 after) with an overall total of 4945 households interviewed. Data were entered into EpiData version 3.1. All statistical analyses were performed using Stata software, version 14 (StataCorp). Simple proportions were used for most analyses, and differences between groups were evaluated by χ2 test at P < .05.

Ethical Approval

Ethical approval for conduct of the study was obtained from the WHO Ethics Review Committee and from national ethical review boards (the National Health Research Committee and Oyo State Ministry of Health in Nigeria; the National Ethics Committee for the Research on Health in Burkina Faso; and the National Council for Science and Technology in Uganda). Informed consent was obtained in accordance with the ethical standards set by the different ethics committees.

RESULTS

A total of 15 932 patients consulted trained CHWs during 22 months in Nigeria and 12 months in Burkina Faso and Uganda. About half (53%) of the children seeking care were aged between 6 and 24 months, 71% being <36 months of age (Figure 1). The number of children coming for care was 6394 in Burkina Faso, 2148 in Nigeria, and 7390 in Uganda (Figure 2).
Figure 1.

Age-specific access to treatment, by country.

Figure 2.

Monthly access to treatment, by country.

Age-specific access to treatment, by country. Monthly access to treatment, by country. The vast majority of episodes (97.3% [15 495/15 932]) for which patients came for care were febrile, and the majority (82.1% [12 725/15 495]) were diagnosed as parasitologically positive using RDTs (Table 1). However, an important number of children (2.7%; 423 uncomplicated, and 6 unable to take oral medication) were brought in with no history of fever or temperature and 47.6% (204/429) were RDT positive, most uncomplicated cases without any other symptoms (vomiting, diarrhea, cough, or fast breathing).

Table 1. Overview of the Number of Patients Who Came for Care During the Intervention: Uncomplicated and Severe Patients

Burkina
Nigeria
Uganda
Total%Total%Total%Total%
Uncomplicated patients: Oral treatment
Fever Positive
 RDT positive+519183.5163076.8578578.51260680.1
  ACTs-Coartem51791629561912427
  Other Treatmenta5353
  No/Unknown Treatment121113126
 RDT negative-81913.247822.5133718.1263416.7
  ACTs-Coartem716427
  Other Treatmenta598598
  No/Unknown Treatment8124627352009
 RDT not done150.20560.8710.5
  ACTs-Coartem246
  Other Treatmenta3737
  No Treatment131528
 RDT not known10.020100.1110.07
  ACTs-Coartem167
  No Treatmenta11
  Unknown Treatment33
Total Febrile602696.9210899.3718897.61532297.3
Fever Negative
 RDT positive+1802.920.1210.32031.3
  ACTs-Coartem178220200
  No/Other Treatmenta213
 RDT negative-490.8130.61081.51701.1
  ACTs-Coartem112
  Other Treatmenta06363
  No/Unknown Treatment481245105
 RDT not done00450.6450.3
  ACTs-Coartem11
  No/Other Treatmenta4444
 RDT not known50.150.03
Total Afebrile2293.7150.71792.44232.7
Total uncomplicated cases625521237375b15753b
Severe patients: All with danger signs preventing oral treatment, eligible for rectal artesunatec
Fever positive
 RDT positive+8158.3251001386.711966.5
 RDT negative-4532.4213.34726.3
 RDT not done75.073.9
Fever negative
 RDT positive+10.710.6
 RDT negative-53.652.8
Total severe cases1392515179
Grand Total assessed/ treated639421487390b15932b

Subtotals are in bold.

Abbreviations: ACT, artemisinin-based combination therapy; RDT, rapid diagnostic test; WHO, World Health Organization.

a Other treatment included antibiotics, analgesics, vitamins, tonics.

b Including 8 children, all in Uganda, who had no information on RDT use or fever, reportedly uncomplicated.

c Danger signs defined as in WHO Integrated Management of Childhood Illness (IMCI) Treatment Guidelines: repeated vomiting, fast breathing, convulsions, weakness/lethargy, coma/altered consciousness; all Nil-per os.

Table 1. Overview of the Number of Patients Who Came for Care During the Intervention: Uncomplicated and Severe Patients Subtotals are in bold. Abbreviations: ACT, artemisinin-based combination therapy; RDT, rapid diagnostic test; WHO, World Health Organization. a Other treatment included antibiotics, analgesics, vitamins, tonics. b Including 8 children, all in Uganda, who had no information on RDT use or fever, reportedly uncomplicated. c Danger signs defined as in WHO Integrated Management of Childhood Illness (IMCI) Treatment Guidelines: repeated vomiting, fast breathing, convulsions, weakness/lethargy, coma/altered consciousness; all Nil-per os. Most (98.6% [12 427/12 606]) febrile and afebrile (98.5% [200/203]) uncomplicated malaria cases were treated with an ACT (Table 1). Very few RDT-negative uncomplicated episodes (0.2% [29/12 656]) were treated with ACTs [13]. In a small number of patients (0.87% [139/15 932]), RDT diagnosis either was not done or results were not documented. Children who could not take oral medications, eligible for rectal artesunate, contributed a very small fraction of episodes: 1.1% (179/15 932), and almost all febrile (Table 1). More than two-thirds of RDT-tested children with danger signs (69.7% [120/172]) were positive, the remaining were RDT negative, except for 7 febrile patients where the RDT was not done. There were 30 children with rapid breathing among those with danger signs eligible for rectal artesunate. Table 2 provides more details of the children who were treated with rectal artesunate, the majority from Burkina Faso. Most children were aged <24 months. Altogether, 24% of children had a combination of altered consciousness/coma or convulsions, and 13.4% had altered consciousness/coma. The mean delay between onset of symptoms and treatment with rectal artesunate by a CHW ranged from a few minutes to 5 days (median, 22.4 hours overall).
Table 2.

Overview of Patients Receiving Rectal Artesunate Treatment

Rectal Artesunate TreatmentBurkina FasoNigeriaUgandaTotal
Total No. treated1392515179
Child's age
 <12 mo32 (23.0)3 (12.0)2 (13.3)37 (20.7)
 12–24 mo58 (41.7)6 (24.0)5 (33.3)69 (38.5)
 >24–36 mo27 (19.4)7 (28.0)2 (13.3)36 (20.1)
 >36–48 mo13 (9.4)7 (28.0)3 (20.0)23 (12.8)
 >48–59 mo9 (6.5)2 (8.0)3 (20.0)14 (7.8)
Symptoms
 Prostrated and unable to take oral medication104 (74.8)3 (12.0)5 (33.3)112 (62.6)
 Altered consciousness + convulsions14 (10.1)19 (76.0)10 (66.7)43 (24.0)
 Altered consciousness or coma21 (15.1)3 (12.0)24 (13.4)
Compliance with referral advice
 No compliance3 (2.2)5 (20.0)8 (53.3)16 (8.9)
 Arrived at facility134 (96.4)18 (72.0)3 (20.0)155 (86.6)
 Drug shop2 (8.0)1 (6.7)3 (1.7)
 Traditional healer2 (1.4)1 (6.7)3 (1.7)
 Went elsewhere2 (13.3)2 (1.1)
Median delay from symptom onset to treatment, h22.918.52422.4
 No. of patients with information (IQR)135 (8.2–47.3)25 (4–30.8)10 (6.5–24)170 (8.1–46.9)
Median interval from treatment to facility arrival, h (IQR)a2.1a (1.2–3.4)a1 (0.8–1.3)2.5 (1.5–7.3)2.1a (1–3.3)a
 No. of patients with informationa134184156
Treatment at hospital: RDT-positive cases
 None4 (4.9)10 (40.0)10 (76.9)24 (20.0)
 IV quinine1 (4.0)1 (7.7)2 (1.7)
 ACT + IV quinine10 (12.2)10 (8.3)
 IV antibiotic + antimalarial8 (9.8)3 (12.0)2 (15.4)13 (10.8)
 Transfusion3 (12.0)3 (2.5)
 Oral quinine1 (4.0)1 (0.8)
 Oral antibiotic + antimalarial60 (73.2)7 (28.0)67 (55.8)
 Total RDT positive822513120
Treatment at hospital: RDT-negative cases
 No treatment2 (4.0)2 (100.0)4 (7.7)
 ACT + IV quinine22 (3.8)
 IV antibiotic + antimalarial22 (3.8)
 Oral antibiotic + antimalarial4444 (84.6)
 Total RDT negative50252
Outcome at follow-up
 Alive/well at interview134 (96.4)21 (84.0)14 (93.3)169 (94.4)
 Alive/hospitalized2 (8.0)2 (1.1)
 Alive/not present at interview1 (6.7)1 (0.6)
 Died5 (3.6)2 (8.0)7 (3.9)

Data are presented as No. (%) unless otherwise indicated.

Abbreviations: ACT, artemisinin-based combination therapy; IQR, interquartile range; IV, intravenous; RDT, rapid diagnostic test.

a Excluding 1 Burkina Faso patient who reported arrival at the facility after 22 days.

Overview of Patients Receiving Rectal Artesunate Treatment Data are presented as No. (%) unless otherwise indicated. Abbreviations: ACT, artemisinin-based combination therapy; IQR, interquartile range; IV, intravenous; RDT, rapid diagnostic test. a Excluding 1 Burkina Faso patient who reported arrival at the facility after 22 days. Compliance with advice to proceed to the nearest health facility among those referred varied from 20% (3/15) among fewer patients in Uganda to 96.4% (134/139) in a larger series in Burkina Faso. The delay between treatment and arrival at the referral facility ranged from 15 minutes to 31 hours. The median interval was 1 hour in Nigeria (with transport facilitated by the study team), 2.1 hours in Burkina Faso, and 2.5 hours in Uganda. Treatment at the facility for RDT-positive patients was mainly oral antibiotics and antimalarials. CHWs followed up most children at their home within 3 days of treatment; at follow-up, there were no sequelae reported or seen; 2 guardians reported weakness after the episode (1 in Burkina Faso and 1 in Uganda), but the child had recovered by the second follow-up. Seven children treated with rectal artesunate died (5 in Burkina Faso and 2 in Nigeria). Three Burkina Faso fatalities were RDT positive, all treated with rectal artesunate, and went to hospital; the hospital discharge diagnosis was severe malaria, although microscopy at hospital was negative. The remaining 2 Burkina Faso children were RDT negative, 1 with a diagnosis of acute meningitis/bacterial gastroenteritis and severe malnutrition (confirmed microscopy negative at the hospital); the other RDT-negative patient did not arrive at hospital. Two children died in Nigeria: both were RDT positive; 1 had severe anemia, high parasitemia and died 2 days after admission at the hospital while awaiting transfusion; the second child died 30 minutes posttreatment with rectal artesunate, en route to hospital. Community-based diagnosis and treatment was expected to increase use of CHWs, reduce time to malaria diagnosis and treatment, shorten episode duration, and prevent evolution to severe malaria. Household interviews with randomly chosen caretakers of recently ill children were intended to capture changes in treatment-seeking behavior associated with the intervention. Table 3 provides baseline characteristics of the households interviewed. There was no apparent difference with regard to the sick child's gender or age, or the caregiver's age, education, or socioeconomic status. The sole difference is caregiver's gender before vs during the intervention in Burkina Faso, where significantly more males responded to questions about the episode before the intervention.
Table 3.

Characteristics of Households Randomly Chosen for Interview: Before Versus During Intervention

Before Intervention
During Intervention
Burkina FasoNigeriaUgandaTotalBurkina FasoNigeriaUgandaTotal
Total No. of caregivers interviewed514 (29.4)775 (44.4)457 (26.2)1746 (100.0)1342 (42.0)785 (24.5)1072 (33.5)3199 (100.0)
Child's gender
 Male275 (53.5)400 (51.6)236 (51.6)911 (52.2)724 (53.9)355 (45.2)545 (50.8)1624 (50.8)
 Female239 (46.5)375 (48.4)221 (48.4)835 (47.8)617 (46.0)430 (54.8)506 (47.2)1553 (48.5)
 Missing information0 (0.0)0 (0.0)0 (0.0)0 (0.0)1 (0.1)0 (0.0)21 (2.0)22 (0.7)
Child's age
 <6 mo18 (3.5)7 (0.9)15 (3.3)40 (2.3)1 (0.1)3 (0.4)61 (5.7)65 (2.0)
 6–11 mo56 (10.9)81 (10.5)59 (12.9)196 (11.2)176 (13.1)65 (8.3)127 (11.8)368 (11.5)
 12–23 mo135 (26.3)180 (23.2)116 (25.4)431 (24.7)409 (30.5)177 (22.5)261 (24.3)847 (26.5)
 24–35 mo118 (23.0)180 (23.2)92 (20.1)390 (22.3)319 (23.8)194 (24.7)238 (22.2)751 (23.5)
 36–47 mo89 (17.3)179 (23.1)92 (20.1)360 (20.6)231 (17.2)171 (21.8)188 (17.5)590 (18.4)
 48–59 mo89 (17.3)147 (19.0)83 (18.2)319 (18.3)206 (15.4)175 (22.3)165 (15.4)546 (17.1)
 >59 mo0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)14 (1.3)14 (0.4)
 Missing information9 (1.8)1 (0.1)0 (0.0)10 (0.6)0 (0.0)0 (0.0)18 (1.7)18 (0.6)
Caregiver's gender
 Male220 (42.8)62 (8.0)64 (14.0)346 (19.8)29 (2.2)17 (2.2)77 (7.2)123 (3.8)
 Female294 (57.2)713 (92.0)393 (86.0)1400 (80.2)1313 (97.8)768 (97.8)992 (92.5)3073 (96.1)
 Missing information3 (0.3)3 (0.1)
Caregiver's age
 15–24 y82 (16.0)123 (15.9)92 (20.1)297 (17.0)325 (24.2)130 (16.6)277 (25.8)732 (22.9)
 25–35 y225 (43.8)461 (59.5)226 (49.5)912 (52.2)786 (58.6)452 (57.6)498 (46.5)1736 (54.3)
 36–50 y153 (29.8)137 (17.7)100 (21.9)390 (22.3)182 (13.6)168 (21.4)226 (21.1)576 (18.0)
 >50 y34 (6.6)32 (4.1)37 (8.1)103 (5.9)11 (0.8)32 (4.1)47 (4.4)90 (2.8)
 Unknown20 (3.9)22 (2.8)2 (0.4)44 (2.5)38 (2.8)3 (0.4)24 (2.2)65 (2.0)
Caregiver's education
 No education408 (79.4)189 (24.4)55 (12.0)652 (37.3)1202 (89.6)171 (21.8)120 (11.2)1493 (46.7)
 ≤7 y43 (8.4)312 (40.3)281 (61.5)636 (36.4)106 (7.9)279 (35.5)652 (60.8)1037 (32.4)
 >7 y21 (4.1)273 (35.2)121 (26.5)415 (23.8)26 (1.9)335 (42.7)280 (26.1)641 (20.0)
 Missing information42 (8.2)1 (0.1)0 (0.0)43 (2.5)8 (0.6)0 (0.0)20 (1.9)28 (0.9)
Occupationa
 Unemployed11 (2.1)27 (3.5)9 (2.0)47 (2.7)35 (2.6)1 (0.1)31 (2.9)67 (2.1)
 Agriculture only470 (91.4)270 (34.8)370 (81.0)1110 (63.5)687 (51.2)190 (24.2)794 (74.1)1671 (52.2)
 Employed only2 (0.4)24 (3.1)5 (1.1)31 (1.8)10 (0.7)31 (3.9)21 (2.0)62 (1.9)
 Self-employed only21 (4.1)278 (35.9)12 (2.6)311 (17.8)96 (7.2)342 (43.6)83 (7.7)521 (16.3)
 Employed + agriculture3 (0.4)12 (2.6)15 (0.9)9 (1.1)24 (2.2)33 (1.0)
 Self-employed + agriculture9 (1.8)137 (17.7)47 (10.3)193 (11.1)514 (38.3)123 (15.7)103 (9.6)740 (23.1)
 Other34 (4.4)2 (0.4)36 (2.1)89 (11.3)3 (0.3)92 (2.9)

Data are presented as No. (%).

a Missing information for 1 in Burkina, 2 in Nigeria before intervention; missing information for 13 in Uganda during intervention.

Characteristics of Households Randomly Chosen for Interview: Before Versus During Intervention Data are presented as No. (%). a Missing information for 1 in Burkina, 2 in Nigeria before intervention; missing information for 13 in Uganda during intervention. Table 4 outlines the impact of the intervention on treatment-seeking behavior, access, and use of CHWs as the first point of care, diagnosis, treatment, and speed of care. The survey data before the intervention testify to either the very low use of CHWs as the first point of care or the absence of and low use of CHWs. Post-intervention, there was a significant increase in using CHWs as first point of care, from 31.1% (543/1746) to 49.2% (1575/3199), with a doubling in the odds ratio (OR, 2.15; 95% confidence interval [CI], 1.9–2.4; P < .0001). The use of trained CHWs increased in general (not only as a first resort), from 35.5% (620/1746) before to 50.2% (1606/3199) during the intervention, thus increasing CHW use by 83% (OR, 1.83; 95% CI, 1.62–2.06; P < .0001).
Table 4.

Effect of Intervention on Diagnosis and Treatment of Sick Children

Total No. of Parents InterviewedBefore Intervention
During Intervention
Burkina FasoNigeriaUgandaTotalBurkina FasoNigeriaUgandaTotal
514 (29.4)775 (44.4)457 (26.2)1746 (100.0)1342 (42.0)785 (24.5)1072 (33.5)3199 (100.0)
Did the caregiver go to the CHW as first provider?
 No409 (79.6)337 (43.5)457 (100)1203 (68.9)741 (55.2)260 (33.1)623 (58.1)1624 (50.8)
 Yes105 (20.4)438 (56.5)543 (31.1)601 (44.8)525 (66.9)449 (41.9)1575 (49.2)
How many went to trained health workers?
 Trained CHWs/health workers105 (20.4)515 (66.5)620 (35.5)603 (44.9)534 (68.0)469 (43.8)1606 (50.2)
 Other providers409 (79.6)260 (33.5)457 (100)1126 (64.5)739 (55.1)251 (32.0)603 (56.3)1593 (49.8)
Was an RDT diagnosis done?
 No95 (90.5)494 (95.9)589 (95.0)32 (5.3)239 (44.8)148 (31.6)419 (26.1)
 Yes2 (1.9)18a (3.5)20 (3.2)567 (94.0)293 (54.9)311 (66.3)1171 (72.9)
 Missing8 (7.6)3 (0.6)11 (1.8)4 (0.7)2 (0.4)10 (2.1)16 (1.0)
Were ACTs given (via any provider)?
 No345 (67.1)686 (88.5)205 (44.9)1236 (70.8)580 (43.2)443 (56.4)439 (41.0)1462 (45.7)
 Yes169 (32.9)89 (11.5)252 (55.1)510 (29.2)762 (56.8)342 (43.6)633 (59.0)1737 (54.3)
Was the child treated within 24 h?
 Yes224 (43.6)482 (62.2)335 (73.3)1041 (59.6)675 (50.3)465 (59.2)844 (78.7)1984 (62.0)
 No67 (13.0)64 (8.3)84 (18.4)215 (12.3)171 (12.7)114 (14.5)116 (10.8)401 (12.5)
 No treatment /other treatment223 (43.4)229 (29.5)38 (8.3)490 (28.1)496 (37.0)206 (26.2)112 (10.4)814 (25.4)

Data are presented as No. (%) unless otherwise indicated. Values in bold compare behavior before vs during the intervention and indicate significance at P < .0001.

Abbreviations: ACT, artemisinin-based combination therapy; CHW, community health worker; RDT, rapid diagnostic test.

a This total includes 6 RDT diagnoses made by drug-shop owners.

Effect of Intervention on Diagnosis and Treatment of Sick Children Data are presented as No. (%) unless otherwise indicated. Values in bold compare behavior before vs during the intervention and indicate significance at P < .0001. Abbreviations: ACT, artemisinin-based combination therapy; CHW, community health worker; RDT, rapid diagnostic test. a This total includes 6 RDT diagnoses made by drug-shop owners. Table 4 also shows that the population of sick children diagnosed with RDTs changed from 3.2% (20/620) before the intervention to 72.9% after initiation (1171/1606) (OR, 80.8; 95% CI, 51.2–127.3; P < .0001). ACT treatment through any provider increased from 29.2% (510/1746) to 54.3% (17 37/3199) (OR, 2.87; 95% CI, 2.54–3.26; P < .0001). Table 5 shows the differences in speed of clinical resolution of the episode and clinical outcomes for the 1746 cases before and 3199 during the intervention. Some 20%–30% of episodes had not resolved at the time of the interviews. For children whose episodes had resolved before interview, the mean duration of uncomplicated episodes decreased from 3.69 ± 2.06 days to 3.47 ± 1.61 days, degrees of freedom (df) = 2960, Student's t (t) = 3.2 (P = .0014), and mean duration of severe episodes decreased from 4.24 ± 2.26 days to 3.7 ± 1.57 days, df = 749, t = 3.8 (P = .0001).
Table 5.

Impact of Intervention on Clinical Outcomes

Total No. of Caretakers InterviewedBefore Intervention
During Intervention
Burkina FasoNigeriaUgandaTotalBurkina FasoNigeriaUgandaTotal
514 (29.4)775 (44.4)457 (26.2)1746 (100.0)1342 (42.0)785 (24.5)1072 (33.5)3199 (100.0)
Mean duration of episode, completed episodesa
 Uncomplicated episodes, mean (SD)288 (3.45 [1.60])492 (3.17 [1.85])258 (4.94 [2.34])1038 (3.69 [2.06])880 (3.19 [1.11])529 (3.33 [1.73])515 (4.11 [1.99])1924 (3.47 [1.61])
 Severe episodes, mean (SD)52 (3.69 [1.77])156 (3.67 [1.88])146 (5.03 [2.55])354 (4.24 [2.26])144 (3.52 [1.26])121 (3.67 [1.71])132 (3.93 [1.72])397 (3.70 [1.57])
Episode outcome
 Alive and well344 (66.9)648 (83.6)403 (88.2)1395 (79.9)1055 (78.6)650 (82.8)658 (61.4)2363 (73.9)
 Died2 (0.4)1 (0.2)3 (0.2)1 (0.1)1 (0.0)
 Still sick168 (32.7)127 (16.4)53 (11.6)348 (19.9)280 (20.9)135 (17.2)411 (38.3)826 (25.8)
 Missing6 (0.4)0 (0.0)3 (0.3)9 (0.3)

Data are presented as No. (%) unless otherwise indicated. Values in bold compare behavior before vs during the intervention and indicate significance at P ≤ .01.

Abbreviation: SD, standard deviation.

a Total excludes 6 patients before and 54 patients after the intervention with resolved episodes, but missing values for episode duration.

Impact of Intervention on Clinical Outcomes Data are presented as No. (%) unless otherwise indicated. Values in bold compare behavior before vs during the intervention and indicate significance at P ≤ .01. Abbreviation: SD, standard deviation. a Total excludes 6 patients before and 54 patients after the intervention with resolved episodes, but missing values for episode duration. We also classified children who had danger signs or not, thus separating the proportion of children with and without severe symptoms before vs during the intervention (Table 6). There was a 32% reduction in children classified as having danger signs, from 24.7% before to 18.1% during the intervention (OR, 0.68; 95% CI, .59–.78; P < .0001).
Table 6.

Effect of Intervention on Symptoms of Children Brought to the Community Health Worker for Assessment

Total No. of Parents InterviewedBefore Intervention
During Intervention
Burkina FasoNigeriaUgandaTotalBurkina FasoNigeriaUgandaTotal
514 (29.4)775 (44.4)457 (26.2)1746 (100.0)1342 (42.0)785 (24.5)1072 (33.5)3199 (100.0)
Symptoms of childa
 Fever511 (99.4)769 (99.2)405 (88.6)1685 (96.5)1325 (98.7)784 (99.9)1027 (95.8)3136 (98.0)
 Diarrhea119 (23.2)104 (13.4)60 (13.1)283 (16.1)340 (25.3)45 (5.7)149 (13.9)534 (16.7)
 Cough100 (19.5)165 (21.3)197 (43.1)462 (26.5)110 (8.2)83 (10.6)553 (51.6)746 (23.3)
 Anorexia4 (0.8)72 (9.3)3 (0.7)79 (4.5)2 (0.1)57 (7.3)4 (0.4)63 (2.0)
 Headache40 (7.8)15 (1.9)0 (0.0)55 (3.2)93 (6.9)18 (2.3)43 (4.0)154 (4.8)
 Stomach pain37 (7.2)8 (1.0)0 (0.0)45 (2.6)77 (5.7)5 (0.6)26 (2.4)108 (3.4)
 Pallor3 (0.6)21 (2.7)0 (0.0)24 (1.4)2 (0.1)8 (1.0)0 (0.0)10 (0.3)
 Leg/body swelling4 (0.8)1 (0.1)0 (0.0)5 (0.3)4 (0.3)0 (0.0)7 (0.7)11 (0.3)
 Unable to eat/drink/suck91 (17.7)109 (14.1)46 (10.1)246 (14.1)223 (16.6)74 (9.4)124 (11.6)421 (13.2)
 Mild vomiting198 (38.5)107 (13.8)111 (24.3)416 (23.8)574 (42.8)113 (14.4)192 (17.9)879 (27.5)
 Repeated vomiting21 (4.1)33 (4.3)17 (3.7)71 (4.1)85 (6.3)31 (3.9)14 (1.3)130 (4.1)
 Fast breathing9 (1.8)31 (4.0)10 (2.2)50 (2.9)2 (0.1)4 (0.5)36 (3.4)42 (1.3)
 Convulsion28 (5.4)41 (5.3)78 (17.1)147 (8.4)78 (5.8)40 (5.1)47 (4.4)165 (5.2)
 Weakness/lethargy22 (4.3)116 (15.0)78 (17.1)216 (12.4)59 (4.4)92 (11.7)121 (11.3)272 (8.5)
 Coma/altered consciousness2 (0.4)3 (0.4)1 (0.2)6 (0.3)5 (0.4)2 (0.3)2 (0.2)9 (0.3)
 Bulging fontanel1 (0.2)5 (0.6)1 (0.2)7 (0.4)2 (0.1)0 (0.0)0 (0.0)2 (0.1)
 Other symptoms75 (14.6)168 (21.7)102 (22.3)345 (19.8)244 (18.2)115 (14.6)394 (36.8)753 (23.5)
 Other infections12 (2.3)18 (2.3)0 (0.0)30 (1.7)23 (1.7)12 (1.5)36 (3.4)71 (2.2)
Danger signsb
 No437 (85.0)588 (75.9)290 (63.5)1315 (75.3)1129 (84.1)631 (80.4)859 (80.1)2619 (81.9)
 Yes77 (15.0)187 (24.1)167 (36.5)431 (24.7)213 (15.9)154 (19.6)213 (19.9)580 (18.1)

Data are presented as No. (%). Values in bold reflect differences in symptoms before vs during the intervention at significance of P < .0001.

a Children had >1 symptom; consequently, the symptoms do not equal the number of children.

b Symptoms categorized as being accompanied or not accompanied by an Integrated Management of Childhood Illness danger sign (repeated vomiting, fast breathing, convulsions, weakness/lethargy, coma/altered consciousness, bulging fontanel); children with any danger sign were placed in the “yes” category.

Effect of Intervention on Symptoms of Children Brought to the Community Health Worker for Assessment Data are presented as No. (%). Values in bold reflect differences in symptoms before vs during the intervention at significance of P < .0001. a Children had >1 symptom; consequently, the symptoms do not equal the number of children. b Symptoms categorized as being accompanied or not accompanied by an Integrated Management of Childhood Illness danger sign (repeated vomiting, fast breathing, convulsions, weakness/lethargy, coma/altered consciousness, bulging fontanel); children with any danger sign were placed in the “yes” category.

DISCUSSION

Our results provide strong evidence that providing training, diagnostics, and malaria medicines to CHWs increases coverage, expedites diagnosis and treatment, and shortens the clinical course of both uncomplicated and severe malaria episodes. Severe malaria reflects delays in effective antimalarial treatment. Speed of recovery is important for the child and the family who bear the costs [12]. Reassuringly, there were very few severe malaria cases, even fewer malaria-negative patients treated with an ACT, and deaths were rare. These findings are based on about 16 000 patients assessed, diagnosed, treated, referred, and followed up, and about 5000 households visited to probe behavior changes associated with the intervention. WHO recommends that malaria case management be based on parasite diagnosis in all cases [1]. This very large study of the treatment of uncomplicated and severe malaria combining RDTs, ACTs, and rectal artesunate shows very high (82.1% [12 725/15 495]) RDT-positive rates among febrile cases. HRP2 tests may well overestimate positivity [14], but even assuming there is some overestimation, it is apparent that declines in transmission documented elsewhere in Africa [15] have not yet reached these villages in 3 countries within the top 15 for malaria prevalence and deaths. The extent to which malaria can be reduced in such high-transmission areas of Africa remains to be seen, but such declines are unlikely to commence without preventing malaria through impregnated bednets and making RDTs and ACTs widely available and used. We did not have community advocacy campaigns to improve awareness of the necessary care for children, febrile or not. Therefore, the results obtained are solely attributable to the provision of training and commodities to CHWs as close to sick children as possible. As witnessed in this study, coverage increased, showing that when malaria is rapidly diagnosed and effectively treated with the artemisinin derivatives, patient outcomes improve; this also reduces the period during which the infection can be transmitted to others [16]. For many years, there has been an assumption that fevers are the entry point for diagnosis of malaria and that only febrile children come for care. One speaks of malaria as a febrile illness. Afebrile malaria is rarely recorded. CHWs documented the symptoms of the patients who sought their care, and in about 2.7% afebrile cases, the majority with no other symptoms, they judged that an RDT to confirm or rule out malaria was warranted and found that almost half the afebrile patients harbored a P. falciparum malaria infection. Our finding that afebrile children came for care and half were parasite positive is unusual. This finding applies mainly to Burkina Faso and Uganda where malaria prevalence was greatest, suggesting that the results on afebrile malaria may be a feature of high transmission in these 2 countries, as in areas with lower prevalence of parasites, P. falciparum is more likely to result in symptomatic infections. The study did not test for the presence of HbAS hemoglobinopathies that attenuate clinical malaria [17]. The results reflect the pattern of malaria in children presenting to a CHW in the community. Not all who were ill would have sought care from the CHW. Use of RDTs presents the challenge of what to do with children who test negative for malaria, especially when these children are without danger signs. Some studies have shown that the decline in antimalarial treatment accompanying RDT use has had a corresponding effect on antibiotic use [18]. In this study, RDT negative cases without danger signs were not treated with antibiotics, but were told to return if they did not get better; they were not always followed up at home for outcome. The only patients who were all followed up systematically both at the referral center and at home were those with danger signs eligible for rectal artesunate. Thus the final outcome of uncomplicated cases is not always available.
  16 in total

Review 1.  Haemoglobinopathies and the clinical epidemiology of malaria: a systematic review and meta-analysis.

Authors:  Steve M Taylor; Christian M Parobek; Rick M Fairhurst
Journal:  Lancet Infect Dis       Date:  2012-03-23       Impact factor: 25.071

2.  Introducing malaria rapid diagnostic tests at registered drug shops in Uganda: limitations of diagnostic testing in the reality of diagnosis.

Authors:  Clare I R Chandler; Rachel Hall-Clifford; Turinde Asaph; Magnussen Pascal; Siân Clarke; Anthony K Mbonye
Journal:  Soc Sci Med       Date:  2011-02-03       Impact factor: 4.634

Review 3.  Changes in the burden of malaria in sub-Saharan Africa.

Authors:  Wendy Prudhomme O'Meara; Judith Nekesa Mangeni; Rick Steketee; Brian Greenwood
Journal:  Lancet Infect Dis       Date:  2010-07-14       Impact factor: 25.071

Review 4.  Qinghaosu (artemisinin): the price of success.

Authors:  N J White
Journal:  Science       Date:  2008-04-18       Impact factor: 47.728

5.  Symptom overlap for malaria and pneumonia--policy implications for home management strategies.

Authors:  Karin Källander; Jesca Nsungwa-Sabiiti; Stefan Peterson
Journal:  Acta Trop       Date:  2004-04       Impact factor: 3.112

6.  Reduction of anti-malarial consumption after rapid diagnostic tests implementation in Dar es Salaam: a before-after and cluster randomized controlled study.

Authors:  Valérie D'Acremont; Judith Kahama-Maro; Ndeniria Swai; Deo Mtasiwa; Blaise Genton; Christian Lengeler
Journal:  Malar J       Date:  2011-04-29       Impact factor: 2.979

7.  Determinants of the accuracy of rapid diagnostic tests in malaria case management: evidence from low and moderate transmission settings in the East African highlands.

Authors:  Tarekegn A Abeku; Mojca Kristan; Caroline Jones; James Beard; Dirk H Mueller; Michael Okia; Beth Rapuoda; Brian Greenwood; Jonathan Cox
Journal:  Malar J       Date:  2008-10-03       Impact factor: 2.979

8.  Pre-referral rectal artesunate to prevent death and disability in severe malaria: a placebo-controlled trial.

Authors:  M F Gomes; M A Faiz; J O Gyapong; M Warsame; T Agbenyega; A Babiker; F Baiden; E B Yunus; F Binka; C Clerk; P Folb; R Hassan; M A Hossain; O Kimbute; A Kitua; S Krishna; C Makasi; N Mensah; Z Mrango; P Olliaro; R Peto; T J Peto; M R Rahman; I Ribeiro; R Samad; N J White
Journal:  Lancet       Date:  2008-12-06       Impact factor: 79.321

9.  Use of over-the-counter malaria medicines in children and adults in three districts in Kenya: implications for private medicine retailer interventions.

Authors:  Timothy O Abuya; Wilfred Mutemi; Baya Karisa; Sam A Ochola; Greg Fegan; Vicki Marsh
Journal:  Malar J       Date:  2007-05-10       Impact factor: 2.979

10.  Achieving universal testing for malaria.

Authors:  Eleanor Ochodo; Paul Garner; David Sinclair
Journal:  BMJ       Date:  2016-02-04
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  20 in total

Review 1.  Malaria diagnostic methods with the elimination goal in view.

Authors:  Olukunle O Oyegoke; Leah Maharaj; Oluwasegun P Akoniyon; Illiya Kwoji; Alexandra T Roux; Taiye S Adewumi; Rajendra Maharaj; Bolanle T Oyebola; Matthew A Adeleke; Moses Okpeku
Journal:  Parasitol Res       Date:  2022-04-23       Impact factor: 2.383

2.  Community-based delivery of intermittent preventive treatment of malaria in pregnancy in Burkina Faso: a qualitative study.

Authors:  Danielle Burke; Justin Tiendrebeogo; Courtney Emerson; Susan Youll; Julie Gutman; Ousmane Badolo; Yacouba Savadogo; Kristen Vibbert; Katherine Wolf; William Brieger
Journal:  Malar J       Date:  2021-06-23       Impact factor: 2.979

3.  Impact of Improving Community-Based Access to Malaria Diagnosis and Treatment on Household Costs.

Authors:  Joëlle Castellani; Jesca Nsungwa-Sabiiti; Borislava Mihaylova; IkeOluwapo O Ajayi; Mohamadou Siribié; Chinenye Afonne; Andrew Balyeku; Luc Sermé; Armande K Sanou; Benjamin S Sombié; Alfred B Tiono; Sodiomon B Sirima; Vanessa Kabarungi; Catherine O Falade; Josephine Kyaligonza; Silvia M A A Evers; Aggie T G Paulus; Max Petzold; Jan Singlovic; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

4.  Training Community Health Workers to Manage Uncomplicated and Severe Malaria: Experience From 3 Rural Malaria-Endemic Areas in Sub-Saharan Africa.

Authors:  Mohamadou Siribié; IkeOluwapo O Ajayi; Jesca Nsungwa-Sabiiti; Chinenye Afonne; Andrew Balyeku; Catherine O Falade; Zakaria Gansane; Ayodele S Jegede; Lillian Ojanduru; Frederick O Oshiname; Vanessa Kabarungi; Josephine Kyaligonza; Armande K Sanou; Luc Sermé; Joëlle Castellani; Jan Singlovic; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

5.  Compliance With Referral Advice After Treatment With Prereferral Rectal Artesunate: A Study in 3 Sub-Saharan African Countries.

Authors:  Mohamadou Siribié; IkeOluwapo O Ajayi; Jesca Nsungwa-Sabiiti; Armande K Sanou; Ayodele S Jegede; Chinenye Afonne; Catherine O Falade; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

6.  Quantifying and Valuing Community Health Worker Time in Improving Access to Malaria Diagnosis and Treatment.

Authors:  Joëlle Castellani; Borislava Mihaylova; IkeOluwapo O Ajayi; Mohamadou Siribié; Jesca Nsungwa-Sabiiti; Chinenye Afonne; Luc Sermé; Andrew Balyeku; Vanessa Kabarungi; Josephine Kyaligonza; Silvia M A A Evers; Aggie T G Paulus; Max Petzold; Jan Singlovic; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

7.  Malaria Rapid Diagnostic Tests and Malaria Microscopy for Guiding Malaria Treatment of Uncomplicated Fevers in Nigeria and Prereferral Cases in 3 African Countries.

Authors:  Catherine O Falade; IkeOluwapo O Ajayi; Jesca Nsungwa-Sabiiti; Mohamadou Siribié; Amidou Diarra; Luc Sermé; Chinenye Afonne; Oyindamola B Yusuf; Zakaria Gansane; Ayodele S Jegede; Jan Singlovic; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

8.  Motivation of Community Health Workers in Diagnosing, Treating, and Referring Sick Young Children in a Multicountry Study.

Authors:  Armande K Sanou; Ayodele S Jegede; Jesca Nsungwa-Sabiiti; Mohamadou Siribié; IkeOluwapo O Ajayi; Asaf Turinde; Frederick O Oshiname; Luc Sermé; Vanessa Kabarungi; Catherine O Falade; Josephine Kyaligonza; Chinenye Afonne; Andrew Balyeku; Joëlle Castellani; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

9.  Pre-referral Rectal Artesunate Treatment by Community-Based Treatment Providers in Ghana, Guinea-Bissau, Tanzania, and Uganda (Study 18): A Cluster-Randomized Trial.

Authors:  Marian Warsame; Margaret Gyapong; Betty Mpeka; Amabelia Rodrigues; Jan Singlovic; Abdel Babiker; Edison Mworozi; Irene Agyepong; Evelyn Ansah; Robert Azairwe; Sidu Biai; Fred Binka; Peter Folb; John Gyapong; Omari Kimbute; Zena Machinda; Andrew Kitua; Tom Lutalo; Melkzedik Majaha; Jao Mamadu; Zakayo Mrango; Max Petzold; Joseph Rujumba; Isabela Ribeiro; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

10.  Compliance With Malaria Rapid Diagnostic Testing by Community Health Workers in 3 Malaria-Endemic Countries of Sub-Saharan Africa: An Observational Study.

Authors:  Jan Singlovic; IkeOluwapo O Ajayi; Jesca Nsungwa-Sabiiti; Mohamadou Siribié; Armande K Sanou; Ayodele S Jegede; Catherine O Falade; Luc Sermé; Zakaria Gansane; Chinenye Afonne; Vanessa Kabarungi; Josephine Kyaligonza; Joëlle Castellani; Max Petzold; Melba Gomes
Journal:  Clin Infect Dis       Date:  2016-12-15       Impact factor: 9.079

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