| Literature DB >> 25093720 |
Jenny Hill1, Lauren D'Mello-Guyett1, Jenna Hoyt1, Anna M van Eijk1, Feiko O ter Kuile1, Jayne Webster2.
Abstract
BACKGROUND: WHO recommends prompt diagnosis and quinine plus clindamycin for treatment of uncomplicated malaria in the first trimester and artemisinin-based combination therapies in subsequent trimesters. We undertook a systematic review of women's access to and healthcare provider adherence to WHO case management policy for malaria in pregnant women. METHODS ANDEntities:
Mesh:
Substances:
Year: 2014 PMID: 25093720 PMCID: PMC4122360 DOI: 10.1371/journal.pmed.1001688
Source DB: PubMed Journal: PLoS Med ISSN: 1549-1277 Impact factor: 11.069
Figure 1Analysis strategy.
Figure 2PRISMA chart of studies included in the review.
Characteristics of studies reporting outcomes, barriers, and determinants for treatment-seeking practices among pregnant women (13 studies).
| Study Description | Primary Outcomes | ||||||||||||
| Study | Region | Country | Scale | Urban/Rural | Study Year | Target Population | Study Design | Data Type | Sample |
| Treatment-Seeking Practices | Barriers to Treatment Seeking | Determinants of Treatment Seeking |
| Adam 2008 | East Africa | Sudan | 1 district | Rural | 2006 | Population | Cross-sectional | Quantitative | PW | 168 | √ | √ | |
| Enato 2009 | West Africa | Nigeria | 1 state | Urban | 2005 | Facility | Cross-sectional | Quantitative | PW | 630 | √ | √ | |
| Henry 2012 | East Africa | Uganda | 1 district | IDP camps | 2007–2008 | Population | Cross-sectional | Quantitative | PW | 769 | √ | √ | |
| Karunamoorthi 2010 | East Africa | Ethiopia | <1 district | Urban | 2008 | Facility | Cross-sectional | Quantitative | PW | 225 | √ | √ | |
| Launiala 2010 | Southern Africa | Malawi | <1 district | Rural | 2002 + 2006 | Facility | Longitudinal | Qualitative | Women/PW | 34/8 | √ | √ | |
| Maiga 2010 | West Africa | Mali | <1 district | Rural | — | Facility | Cross-sectional | Quantitative | PW | 210 | √ | √ | |
| Mbachu 2012 | West Africa | Nigeria | 1 district | Rural | 2011 | Population | Cross-sectional | Quantitative | PW | 898 | √ | √ | √ |
| Mbonye 2013 | East Africa | Uganda | 1 district | Rural/urban | 2011 | Facility | Cross-sectional | Quantitative | PW | 998 | √ | ||
| Onwujekwe 2013 | West Africa | Nigeria | <1 district | Urban | — | Facility | Cross-sectional | Quantitative | PW | 647 | √ | ||
| Sabin 2010 | Asia | India | 1 state | Rural/urban | 2007 | Facility | Cross-sectional | Mixed | PW/RD 12 | 73 | √ | √ | |
| Sam-Wobo 2008 | West Africa | Nigeria | 1 district | Rural/urban | 2006 | Population | Cross-sectional | Quantitative | PW | 1,400 | √ | √ | |
| Sangaré 2011 | East Africa | Uganda | <1 district | Rural/urban | 2008–2009 | Population | Cross-sectional | Quantitative | PW | 500 | √ | √ | √ |
| Smith Paintain 2010 | West Africa | Ghana | 2 districts | Rural | 2009 | Facility | RCT | Qualitative | PW | 1,486 | √ | ||
PW, pregnant women; RCT, randomised controlled trial; RD 12, recently delivered women (last 12 mo).
Characteristics of studies reporting outcomes for both pregnant women and health providers (six studies).
| Study Description |
| Primary Outcome (PW/HP) | ||||||||||||||||
| Study | Region | Country | Scale | Urban/Rural | Study Year | Target Population | Study Design | Data Type | Sample | PW | HP | 1 | 2 | 3 | 4 | 5 | 6 | |
| D | T | |||||||||||||||||
| Kamuhabwa 2011 | East Africa | Tanzania | <1 district | Urban | 2009–2010 | Facility | Cross-sectional | Quantitative | PW+DV | 200 | 200 | √ | √ | √ | √ | √ | ||
| Kwansa-Bentum 2011 | West Africa | Ghana | 1 district | Rural/urban | 2010 | Population | Cross-sectional | Quantitative | PW+MD/nurse/pharm | 959 | 126 | √ | √ | √ | √ | |||
| Manirakiza 2011 | Central Africa | CAR | <1 district | Urban | 2009 | Facility | Cross-sectional | Quantitative | PW+HP | 565 | √ | √ | √ | √ | ||||
| Mbonye 2010 | East Africa | Uganda | 1 district | Rural/urban | — | Population | Cross-sectional | Quantitative | PW+TBA/DV/CHW | 2,785 | 51 | √ | √ | |||||
| Obieche 2013 | West Africa | Nigeria | <1 district | Urban | 2011 | Facility | Cross-sectional | Quantitative | PPW+HP | 428 | √ | √ | √ | |||||
| Pell 2013 | East, west, southern Africa | Kenya, Ghana, Malawi | 4 districts | Rural/urban | 2009–2011 | Population | Anthropological | Qualitative | PW+HP | 390 | 137 | √ | √ | |||||
*Primary outcomes for both pregnant women and health providers: (1) treatment-seeking practices, (2) barriers to treatment seeking, (3) determinants of treatment seeking, (4) knowledge and practices for case management of malaria (diagnosis/treatment), (5) barriers to case management, and (6) determinants of case management.
Health provider practices inferred from medical file/ANC card.
CHW, community health worker; D, diagnostics; DV, drug vendor/drug store; HP, health provider; MD, medical doctor; pharm, pharmacist (trained); PPW, postpartum women; PW, pregnant women; T, treatment.
Data extracted for frequencies, barriers, and determinants by survey type.
| Study | Pregnant Women | Healthcare Providers | ||||
| Frequencies | Barriers | Determinants | Frequencies | Barriers | Determinants | |
|
| ||||||
| Bin Ghouth 2013 | √ | √ | √ | |||
| Kiningu 2013 | √ | √ | √ | |||
| Luz 2013 | √ | √ | ||||
| Luz 2013 | √ | √ | ||||
| Mbonye 2013 | √ | |||||
| Obieche 2013 | √ | √ | ||||
| Onwujekwe 2013 | √ | √ | ||||
| Harrison 2012 | √ | √ | √ | |||
| Minyaliwa 2012 | √ | √ | ||||
| Okoro 2012 | √ | √ | ||||
| Onwujekwe 2012 | √ | √ | √ | |||
| Kamuhabwa 2011 | √ | √ | √ | √ | √ | √ |
| Manirakiza 2011 | √ | √ | √ | |||
| Smith Paintain 2011 | √ | √ | √ | |||
| Umar 2011 | √ | √ | √ | |||
| Karunamoorthi 2010 | √ | √ | ||||
| Launiala 2010 | √ | |||||
| Maiga 2010 | √ | √ | ||||
| Sabin 2010 | √ | √ | ||||
| Smith Paintain 2010 | √ | |||||
| Wylie 2010 | √ | √ | √ | |||
| Enato 2009 | √ | √ | ||||
| Omo-Aghoja 2008 | √ | √ | √ | |||
| PSI 2007 | √ | √ | ||||
|
| ||||||
| Pell 2013 | √ | √ | ||||
| Enato 2012 | √ | √ | ||||
| Mbachu 2012 | √ | √ | √ | |||
| Henry 2012 | √ | √ | ||||
| Kalilani-Phiri 2011 | √ | √ | ||||
| Kwansa-Bentum 2011 | √ | √ | √ | √ | ||
| Okonta 2011 | √ | √ | ||||
| Sangaré 2011 | √ | √ | √ | |||
| Stangeland 2011 | √ | √ | ||||
| Mbonye 2010 | √ | √ | ||||
| Adam 2008 | √ | √ | ||||
| Sam-Wobo 2008 | √ | √ | ||||
| Tawfik 2006 | √ | √ | ||||
| Summary total | 13 | 15 | 4 | 24 | 22 | 10 |
Pregnant women: for frequency data, see Tables 5 and 6; barrier data, Table 7; determinant data, Table 8.
Healthcare provider: for frequency data, see Tables 9 and 10; barrier data, Table 11; determinant data, Table 12.
PSI, Population Services International Research and Metrics.
Symptoms and number of episodes of malaria in pregnancy, and percentage who sought treatment by source, reported by pregnant women: population-based studies.
| Region | Country | Study | Scale |
| Reported an Episode of Malaria in Pregnancy | Number of Episodes Reported per Pregnancy | Percentage of Women Who Sought Treatment | Source of Treatment | ||||
| HCF/ANC | Private Clinic | Retail Sector/Pharmacy | Self-Medicate | Traditional | ||||||||
|
| Ghana | Kwansa-Bentum 2011 | 1 district | 959 | NR | NR | NR | 25.4% | 28.8% | 5.4% | ||
| Nigeria | Mbachu 2012 | 1 district | 898 | 25.3% (fever) | NR | NR | 42.3% | |||||
| Nigeria | Sam-Wobo 2008 | 1 district | 1,400 | NR | 65.0% of PW had 3–4 episodes of malaria that year (not current pregnancy) | NR | 68.0% | |||||
|
| Sudan | Adam 2008 | 1 district | 168 | NR | NR | NR | 81.5% | 9.5% | |||
| Uganda | Henry 2012 | 1 district | 769 | 49.0% in past 2 mo | NR | NR | 86.0% | 10.0% | 4.0% | |||
| Uganda | Sangaré 2011 | <1 district | 500 | 66.8% | 37.0% had 2+ episodes of malaria in pregnancy | 94% of reported episodes | ||||||
Multiple response answers.
Herbs; <1% sought prayers, baths, water, and/or sleep.
Specified as herbs.
8.9% specifically sought a midwife.
IDP camp setting.
HCF, healthcare facility; NR, not reported by study authors; PW, pregnant women.
Symptoms and number of episodes of malaria in pregnancy, and percentage who sought treatment by source, reported by pregnant women: facility-based studies.
| Region | Country | Study | Scale |
| Percentage of Women Who Reported an Episode of Malaria in Pregnancy | Number of Episodes Reported per Pregnancy | Percentage of Women Who Sought Treatment | Source of Treatment | |||
| HCF/ANC | Retail Sector/Pharmacy | Self-Medicate | Traditional | ||||||||
|
| Mali | Maiga 2010 | <1 district | 210 | NR | NR | NR | 31.4% | 40.0% | 27.6% | |
| Nigeria | Obieche 2013 | <1 district | 428 | 69.4% | 30% reported >1 episode | 84.6% of reported episodes | 77.4% | 10.7% | 12.0% | ||
| Nigeria | Onwujekwe 2013 | <1 district | 647 | NR | NR | Women attending public facilities, 95.3% | 89.1% | 5.7% | 5.2% | ||
| Women attending private facilities, 98.6% | 92.0% | 2.3% | 6.0% | ||||||||
| Nigeria | Enato 2009 | 1 state | 630 | 64.1% | 1 episode, 53.7%; 2, 27.3%; 3, 6.3%; and 4+, 12.7% | NR | 78.0% | 22.0% | |||
|
| Ethiopia | Karunamoorthi 2010 | <1 district | 225 | NR | NR | NR | 88.1% | 7.4% | 4.5% | |
| Malawi | Launiala 2010 | <1 district | 34 | NR | NR | NR | Second choice | Majority | |||
|
| India | Sabin 2010 | 1 state | 73 | 75.0% | NR | 85.0% of reported episodes | 63.0% | 20.8% | 16.7% | |
Specified as TBA.
*Pregnant women and recently delivered women.
Specified as traditional remedies.
HCF, healthcare facility; NR, not reported by authors.
Content analysis of factors that affect treatment seeking for malaria among pregnant women.
| Barriers and Facilitators to Treatment Seeking for Pregnant Women | Level | |||||||||
| Individual | Social/Cultural/Household | Environmental | Health System | |||||||
| Quan | Qual | Quan | Qual | Quan | Qual | Quan | Qual | |||
|
| Knowledge | Low perceived danger of malaria in pregnancy | 1 | 2 | ||||||
| Low knowledge of treatment measures | 5 | 3 | ||||||||
| Reliance on self-medication/herbal treatments | 5 | 4 | ||||||||
| Pregnant women considered less of a priority or vulnerable | 0 | 1 | ||||||||
| Safety | Perception of safety of drugs during pregnancy | 3 | 1 | |||||||
| Fear of side effects | 1 | 3 | ||||||||
| Experience of side effects | 0 | 2 | ||||||||
| Cost | Cost of treatment | 4 | 3 | |||||||
| Travel costs to health care facility | 0 | 3 | ||||||||
| User fees | 2 | 2 | ||||||||
| Husband controls finances | 0 | 1 | ||||||||
| Health facility | Drug stock-outs | 1 | 1 | |||||||
| Lack of trust in provider/confusion about healthcare provider advice for treatment | 0 | 1 | ||||||||
| Lack of adequate care at health care facility | 0 | 1 | ||||||||
|
| Knowledge | Concern for status of pregnancy | 0 | 2 | ||||||
| Awareness of treatment options | 1 | 2 | ||||||||
| Trust in health care facility/medication | 0 | 2 | ||||||||
| Safety | Belief that drugs are safe to use | 2 | 1 | |||||||
| Treatment considered as effective | 4 | 3 | ||||||||
| Very few or no side effects | 1 | 0 | ||||||||
Numbers indicate the number of studies included in this review that report each factor.
qual, qualitative; quan, quantitative.
Data on the determinants of treatment-seeking behaviours for malaria in pregnancy by pregnant women.
| Determinant | Study | Country | Scale |
| Details |
| Age | Kamuhabwa 2011 | Tanzania | <1 district | 200 | Age is not associated with knowledge of AL use in pregnancy |
| Henry 2012 | Uganda | 1 district | 769 | Age is not associated with increased treatment seeking | |
| Education | Kamuhabwa 2011 | Tanzania | <1 district | 200 | A higher level of education in women was associated with correct knowledge of AL use in pregnancy ( |
| Henry 2012 | Uganda | 1 district | 769 | Women's level of education was not associated with increased treatment seeking | |
| Marital status | Henry 2012 | Uganda | 1 district | 769 | Marital status was not associated to increased treatment seeking |
| Parity/gravidity | Kamuhabwa 2011 | Tanzania | <1 district | 200 | Parity/gravidity was not associated with knowledge of AL use in pregnancy |
| Henry 2012 | Uganda | 1 district | 769 | Gravidity was not associated with increased treatment seeking | |
| Sangaré 2011 | Uganda | 1 district | 500 | There was no difference between multiparous and primiparous women in their use of the recommended dosage of treatment | |
| Gestational age | Kamuhabwa 2011 | Tanzania | 1 district | 200 | Age of gestation was not associated with knowledge of AL usage in pregnancy |
| Henry 2012 | Uganda | 1 district | 769 | Age of gestation was not associated with increased treatment seeking | |
| Experience of miscarriage | Henry 2012 | Uganda | 1 district | 769 | Prior experience of miscarriage was associated with increased treatment seeking ( |
| Prior use of ANC | Henry 2012 | Uganda | 1 district | 769 | Prior use of ANC services by women was associated with increased treatment seeking ( |
| SES | Mbachu 2012 | Nigeria | 1 district | 898 | SES of women was not associated with the utilisation of different antimalarials by pregnant women |
All effects measured using the Chi-squared test.
SES, socio-economic status.
Healthcare provider practices: diagnosis.
| Region | Country | Study | Policy Reference | Policy Details: Diagnosis | Scale | Reported Provider Practice | ||||||
| Type of Healthcare Provider |
| Diagnosis | ||||||||||
| Clinical | Parasitological | |||||||||||
| Clinical | Laboratory | Clinical Diagnosis | Clinical Symptoms | Microscopy | RDT | |||||||
|
| Nigeria | Obieche 2013 | National Antimalarial Treatment Guidelines and Policy, 2005 | Microscopy/RDT | <1 district | Medical records and interviews with PW | 8.6% | |||||
| Nigeria | Harrison 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | Fever, pallor | Microscopy/RDT | 1 district | MD | 123 | 85.4% | 85.4% | |||
| Nigeria | Okoro 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | Fever, pallor | Microscopy/RDT | <1 district | HP | 311 | 80.0% | 20.0% | |||
| Nigeria | Onwujekwe 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | Fever, pallor | Microscopy/RDT | <1 district | Public: MD/nurse/pharm | 32 | 78.1% | 65.6% | 43.8% | ||
| Private: MD/nurse/pharm | 20 | 47.4% | 68.4% | 15.8% | ||||||||
| Nigeria | Enato 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | Fever, pallor | Microscopy/RDT | <1 district | TBA | 8 | 100.0% | Fever, colour of urine, dizziness, blood pressure, weakness, and appetite | |||
| Nigeria | Umar 2011 | WHO guidelines 2010 | Fever, pallor, anaemia | Microscopy/RDT | 1 state | HP | 25 | 69.3% | 87.5% | |||
| Nigeria | Omo-Aghoja 2008 | National Antimalarial Treatment Guidelines and Policy, 2005 | Fever, pallor | Microscopy/RDT | National | MD | 84 | 62.0% | 26.0% | |||
|
| Kenya | Kiningu 2013 | National Malaria Guidelines, 2010 | Microscopy/RDT | <1 district | Medical records | 37 | 5.5% | 91.9% | |||
| Malawi | Kailani-Phiri 2011 | Malawi ACT guidelines, 2008 | National | MD/pharm | 92 | 84.1% | Used symptoms in addition to lab tests | 73.1% | 25.6% | |||
| Uganda | Stangeland 2011 | National Malaria Treatment Guidelines, 2005 | History and physical exam | Microscopy/RDT | <1 district | TBA | 28 | 100.0% | 75% fever, 75% shivers, 39% headache, 29% vomiting, 25% pale eyes, 25% no appetite, 25% weakness, 21% abdominal pains | |||
|
| Cambodia | PSI 2007 | NA | National | MD/MA/pharm/nurse/midwife/DV | 750 | 89.0% | |||||
| Cambodia | Tawfik 2006 | WHO/Cambodia National Treatment Guidelines 2002 | 2 districts | Pharm/DV/CHW | 70 | 3.0% | 94.0% | |||||
| India | Wylie 2010 | Indian National Drug Policy, 2007 | Fever, chills, headache, joint pain | Microscopy/RDT | 2 states: region A | MD | 120 | 20.0%/40.8% | Fever/signs of anaemia | 14.2% | ||
| 2 states: region B | MD | 160 | 48.1%/75.0% | Fever/signs of anaemia | 37.5% | |||||||
Equal numbers used clinical and laboratory tests.
Multiple response answers.
Lower cadre providers (senior and junior community health extension workers and pharmacy technicians).
Higher cadre providers (doctors, nurses, and community health officers).
Used clinical and lab-based tests: 62% sometimes and 26% always.
25.6% used both RDT and microscopy.
Used RDTs only.
Policy document identified by review authors.
Frequency of RDT use: always 9.2%, most of time 33.6%, sometimes 22.7%, rarely 26.1%, never 8.4%.
Microscopy or RDT; 3% used clinical and lab.
Healthcare provider asks about presence of fever/assesses for signs and symptoms of anaemia.
CHW, community health worker; DV, drug vendor/shop; HP, healthcare provider; MA, medical assistant; MD, medical doctor; NA, not reported by study authors; pharm, pharmacist (trained); PSI, Population Services International Research and Metrics; PW, pregnant women.
Healthcare provider practices: antimalarials prescribed.
| Region | Country | Study | Policy Reference | Policy Details: Treatment | Scale | Reported Provider Practice | |||||
| Healthcare Provider and Method of Data Collection |
| Type of Drug Prescribed by Trimester of Pregnancy | |||||||||
| First Trimester | Second/Third Trimester | First Trimester | Second/Third Trimester | Trimester Not Specified | |||||||
|
| Yemen | Bin Ghouth 2013 | WHO guidelines 2010 | NR | NR | 11 districts | Clinicians/pharm/drug store employee; structured questionnaire | 86 | Pre-intervention: AS 47.0%, CQ 19.0%, QN 17.0%; post-intervention: AS 19.0%, CQ 22.0%, QN 60.0% | ||
|
| CAR | Manirakiza 2011 | WHO guidelines 2006 | QN | ACT | <1 district | ANC staff | 565 | QN 68.6%, ACT 17.1%, AS 11.4% | 2nd trimester: QN 55.5%, ACT 34.2%, AS 18.8% | |
| Ghana | Kwansa-Bentum 2011 | Ghana Health Service, 2009 | QN | AS-AQ/AL/DHA-PPQ | 1 district | HP; interviews | 88 | QN 45.0%, SP 10.0%, | AS-AQ 45.0%, QN 20.0%, SP 20.0%, AL 5.0% | ||
| DV; interviews | 38 | SP 10.0%, QN 5.0%, AL 5.0%, DHA-PPQ 5.0%, AS-AQ 2.0%, AS 1.0% | DHA-PPQ 10.0%, SP 12.0%, QN 5.0%, AL 5.0%, AS-AQ 3.0% | ||||||||
| Ghana | Smith Paintain 2011 | Ghana Health Service, 2009 | QN | AS-AQ | 7 districts | Midwife/nurse/CHW | 134 | Knowledge: QN 50.8%, AS-AQ 20.2%, AS 14.2%, SP 7.5% | Knowledge: AS-AQ 78.4% | ||
| Nigeria | Obieche 2013 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | QN | <1 district | Postpartum women; interview/medical record check | 428 | SP 38.8%, CQ 14.3%, QN 12.2%, AL 24.5%, AS 8.2%, AS inj. 2% | AL 49.6%, SP 24%, AS 13.4%, AS inj. 2.4%, CQ 4.4%, QN <1%, AS-SP 1.9%, AS-AQ 1%, AQ 2.4% | ||
| Nigeria | Harrison 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | 1 district | MD; self-administered questionnaire | 123 | CQ 22.8%, SP 21.1%, camoquine 10.6%, AL 4.1%, QN, 3.3%, AS 1.6%, camoquine/SP 1.6% | |||
| Nigeria | Okonta 2011 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | National | MD; self-administered questionnaire | 102 | CQ 40.2%, QN 19.6%, AQ 14.7%, SP 8.8%, AS 6.9% | |||
| Nigeria | Okoro 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | <1 district | HP; medical card reviews | 311 | SP 12.5%, QN 2.5%, ACT 2.5%, CQ 1.25% | ACT 80.0%, QN 1.3% | ||
| Nigeria | Onwujekwe 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | <1 district | Public sector: MD/nurse/pharm; self-administered questionnaire | 32 | QN 34.5%, CQ 21.9%, SP 12.5 | ACT 68.8%, QN 50.0% | ||
| Private sector: MD/nurse/pharm; Self-administered questionnaire | 20 | SP 65.0%, QN 15.0%, CQ 15.0% | SP 70.0%, QN 25.0%, ACT 25.0% | ||||||||
| Nigeria | Enato 2012 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | <1 district | TBA | 8 | Some referred to CQ use | |||
| Nigeria | Umar 2011 | WHO guidelines 2010 | QN | ACT | 1 state | HP; self-administered questionnaire | 25 | SP 68.0%, CQ16.0%, AL 8.0%, SP+CQ 4.0%, QN+CQ 4.0% | |||
| Nigeria | Omo-Aghoja 2008 | National Antimalarial Treatment Guidelines and Policy, 2005 | QN | AL | National | MD; self-administered questionnaire | 84 | CQ 73.0%, SP 10.0%, AS 11.0%, QN 3.0%, AQ 1.0% | |||
|
| Kenya | Kiningu 2013 | National Malaria Guidelines, 2010 | Mild/moderate QN or AL | AL | <1 district | Medical files | 37 | QN IV 73.0%, AL 2.7%, QN 2.7% | ||
| Malawi | Minyaliwa 2012 | Malawi ACT guidelines, 2008 | QN | AL/AS-AQ | 1 district | Pharm; interviews | 22 | QN 90.9% | ACT 90.9% | ||
| Tanzania | Kamuhabwa 2011 | WHO guidelines 2006 | QN | AL | <1 district | Drug dispenser (all) | 200 | AL 32.8% | |||
| Pharm/mystery client | 60 | QN 55%, SP 19.4%, DHA-PPQ 17.6% | |||||||||
| Pharm Ass/mystery client | 34 | QN 16.6%, SP 22.6%, DHA-PPQ 23.5%, AQ 25%, sulphalene-pyrimethamine 33.3% | |||||||||
| Nurse Ass/mystery client | 71 | QN 22.2%, SP 32.5%, DHA-PPQ 23.5%, sulphalene-pyrimethamine 16.6% | |||||||||
| DV/mystery client | 35 | QN 5.5%, SP 25.9%, DHA-PPQ 33.3%, AQ 75%, sulphalene-pyrimethamine 50% | |||||||||
|
| Cambodia | Tawfik 2006 | WHO/Cambodia National Treatment Guidelines 2002 | Pf: QN; Pv/Pm: CQ | Pf: ART/MQ; Pv/Pm: CQ | 2 districts | Pharm/DV/CHW; client interviews | 70 | QN 14.8% | ||
|
| Brazil | Luz 2013 | Brazil malaria treatment guidelines, 2001/2008 | Pv: CQ; Pf: QN or QN/CN | AL or MQ | >1 district | Medical records | 262 | Pv: CQ 91%, CQ combo 2.7%, MQ 2.7%, QN 2.1%, AL 1.6%;Pf: MQ 37.8%, QN+CN 18.9%, QN 13.5%, CQ 8.2%, MQ combo 2.7%, AL 16.2%, ART 1.4%, CN 1.4% | ||
Data obtained from ANC cards.
ART, artemether monotherapy; Ass, assistant; CHW, community health worker; CN, clyndamicine; DHA-PPQ, dihydroartemisinin-piperaquine combination; DV, drug vendor/shop; HP, healthcare provider; inj., injected; MD, medical doctor; MQ, mefloquine; NA, not reported by authors; Pf, P. falciparum; pharm, pharmacist; Pm, P. malariae; Pv, P. vivax; QN, quinine.
Content analysis of barriers to effective case management practices among healthcare providers.
| Health Systems Building Blocks | Level | |||||||||
| Individual | Organisational | Health System | Non-Health System | |||||||
| Quan | Qual | Quan | Qual | Quan | Qual | Quan | Qual | |||
| Governance/leadership | Documents | Lack of updated policy/training protocols | 4 | 1 | ||||||
| Supervision | Lack of supervision | 3 | 4 | |||||||
| Health workforce/human resources | Cadre/persons | Insufficient number of staff | 2 | 2 | ||||||
| Training on case management | Insufficient training for diagnosis | 0 | 2 | |||||||
| Inadequate knowledge of treatment/confusion over guidelines | 10 | 5 | ||||||||
| Service delivery | Facility | Inadequate drug stocks | 2 | 0 | ||||||
| Diagnosis | Reliance on clinical symptoms | 9 | 4 | |||||||
| Inadequate facilities for diagnostic procedures | 5 | 3 | ||||||||
| Treatment | Patient treatment preference | 0 | 1 | |||||||
| Health information systems | District level | Poor patient history records | 1 | 1 | ||||||
| Reliance on incomplete ANC cards | 1 | 0 | ||||||||
| Financing | Cost to user | Cost of diagnosis | 1 | 1 | ||||||
| Cost of treatment | 5 | 1 | ||||||||
| Cost of maintained drug supplies | 1 | 0 | ||||||||
| Cost to provider | Financial incentives to sell certain treatment brands | 1 | 1 | |||||||
| Medical products and technology | Diagnosis | Low perceived efficacy of diagnostic techniques | 1 | 1 | ||||||
| Treatment | Low perceived efficacy of treatment options | 5 | 1 | |||||||
| Perception of safety of drugs during pregnancy | 4 | 0 | ||||||||
| Fear of side effects in patient | 6 | 2 | ||||||||
| Risk to patient due to age of patient | 1 | 0 | ||||||||
| Risk to patient due to gestational age | 2 | 1 | ||||||||
| Fear of growing antimalarial resistance | 1 | 1 | ||||||||
Numbers indicate the number of studies included in this review that report each factor.
qual, qualitative; quan, quantitative.
Determinants affecting provider knowledge of malaria in pregnancy, diagnostic practices, and treatment practices.
| Factor | Determinant | Study | Country | Scale |
| Effect Measure | Details |
| Healthcare provider knowledge | Cadre | Smith Paintain 2011 | Ghana | 7 districts | 134 | RR | Cadre of staff was not associated with level of knowledge of national treatment guidelines |
| Those responsible for writing prescriptions were more likely to have correct knowledge of treatment policy for 2nd and 3rd trimesters than those of lower cadres ( | |||||||
| Harrison 2012 | Nigeria | 123 | Chi2 | Cadre of doctor was not associated with awareness of malaria in pregnancy treatment guidelines | |||
| Omo-Aghoja 2008 | Nigeria | National | 84 | Chi2 | Neither level of specialty training nor number of years in practice were associated with knowledge of national guidelines on treatment and prevention with IPTp ( | ||
| Kamuhabwa 2011 | Tanzania | <1 district | 200 | Chi2 | No difference in knowledge regarding contraindications of AL in pregnancy between pharmacist and non-pharmaceutical personnel | ||
| No difference between pharmacists and non-pharmaceutical personnel concerning knowledge of: quinine, SP, DHA-PPQ; AQ; sulphalene-pyrimethamine | |||||||
| Kiningu 2013 | Kenya | <1 district | 36 | Fisher test | No difference in awareness or use of malaria in pregnancy clinical guidelines among professional cadres, education levels, or differences in duration of experience ( | ||
| Public or private | Onwujekwe 2012 | Nigeria | <1 district | 52 | Chi2 | No difference between public or private providers in reporting malaria in pregnancy as a serious condition ( | |
| Training received | Smith Paintain 2011 | Ghana | 7 districts | 134 | RR | Recent attendance at training session resulted in greater knowledge of malaria in pregnancy treatment guidelines (1st trimester, | |
| Diagnostic practices | Cadre | Umar 2011 | Nigeria | 1 state | 25 | Chi2 | Exclusive use of clinical features to diagnose malaria in pregnancy was more frequently observed among staff with lower qualifications in primary health centres ( |
| Public or private | Onwujekwe 2012 | Nigeria | <1 district | 52 | Chi2 | More public than private providers used symptom recognition to diagnose malaria in pregnancy ( | |
| No difference in use of microscopy to diagnose malaria in pregnancy between public and private providers | |||||||
| More public than private providers used RDTs to diagnose malaria in pregnancy ( | |||||||
| Training received | Bin Ghouth 2013 | Yemen | 3 districts | 86 | Chi2 | HP training improved the frequency of prescription for quinine use in malaria in pregnancy from 17% to 60% (OR 4.9, | |
| Smith Paintain 2011 | Ghana | 7 districts | 134 | RR | Attendance at a malaria diagnosis workshop was not significantly associated with correct knowledge of treatment for policy for any trimester | ||
| Regional differences | Wylie 2010 | India | 2 states | 280 | Chi2 | Between regions, more providers in Chattisgargh used a combination of a presence of fever, blood smear microscopy, signs of anaemia, and haemoglobin levels to diagnose malaria in pregnancy ( | |
| Treatment practices | Type of health facility | Onwujekwe 2012 | Nigeria | <1 district | 52 | Chi2 | More public than private providers prescribed quinine in 1st trimester ( |
| No difference in prescription of CQ between public and private providers | |||||||
| More private than public providers prescribed SP for the treatment of malaria in pregnancy ( | |||||||
| Luz 2013 | Brazil | >1 district | 262 | Chi2 | No difference in treatment regimens or in prescriptions containing first choice antimalarials between reference centres for malaria and primary care units ( |
Chi2, Chi squared test; DHA-PPQ, dihydroartemisinin-piperaquine combination; HP, healthcare provider; OR, odds ratio; RR, adjusted risk ratio.
Figure 3Prevalence of source of malaria treatment during pregnancy assessed in 18 studies with quantitative data.
hf, health facility–based survey; pb, population-based survey.
Characteristics of studies reporting outcomes, barriers, and determinants for case management practices among healthcare providers (18 studies).
| Study Description | Primary Outcomes | |||||||||||||
| Study | Region | Country | Scale | Urban/Rural | Study Year | Target Population | Study Design | Data Type | Sample |
| Knowledge and Practices | Barriers to Case Management | Determinants of Case Management | |
| Diagnostics | Treatment | |||||||||||||
| Enato 2012 | West Africa | Nigeria | <1 district | Urban | — | Population | Cross-sectional | Qualitative | TBA | 8 | √ | √ | √ | |
| Bin Ghouth 2013 | Middle East | Yemen | 11 districts | Urban | 2010–2011 | Facility | Before-after | Quantitative | Pharm/HP | 86 | √ | √ | √ | |
| Harrison 2012 | West Africa | Nigeria | 1 district | Urban | 2009 | Facility | Cross-sectional | Quantitative | MD | 123 | √ | √ | √ | √ |
| Kalilani-Phiri 2011 | Southern Africa | Malawi | National | Rural/urban | 2010 | Population | Cross-sectional | Quantitative | MD/pharm | 92 | √ | √ | ||
| Kiningu 2013 | East Africa | Kenya | <1 district | Urban | 2012 | Facility | Cross-sectional | Mixed | MD/nurse/pharm | 36 | √ | √ | √ | √ |
| Luz 2013 | South America | Brazil | 1 district | Urban | 2007–2008 | Facility | Cross-sectional | Mixed | MD/nurse/pharm | 51 | √ | √ | ||
| Luz 2013 | South America | Brazil | >1 district | Urban | 2007–2008 | Facility | Cross-sectional | Quantitative | PW+HP | 262 | √ | √ | ||
| Minyaliwa 2012 | Southern Africa | Malawi | 1 district | Urban | — | Facility | Cross-sectional | Quantitative | Pharma/nurse/pharma technician | 22 | √ | √ | ||
| Okonta 2011 | West Africa | Nigeria | National | Rural/urban | 2008 | Population | Cross-sectional | Quantitative | MD | 102 | √ | √ | ||
| Okoro 2012 | West Africa | Nigeria | <1 district | Urban | 2009 | Facility | Cross-sectional | Quantitative | MD | 311 | √ | √ | √ | |
| Omo-Aghoja 2008 | West Africa | Nigeria | National | Rural/urban | 2006 | Facility | Cross-sectional | Quantitative | MD | 84 | √ | √ | √ | √ |
| Onwujekwe 2012 | West Africa | Nigeria | <1 district | Urban | 2010 | Facility | Cross-sectional | Quantitative | MD/nurse/pharm | 52 | √ | √ | √ | √ |
| PSI 2007 | Asia | Cambodia | National | Rural/urban | 2007 | Facility | Cross-sectional | Mixed | MD/MA/pharm/nurse/midwife/DV | 750 | √ | √ | ||
| Smith Paintain 2011 | West Africa | Ghana | 7 districts | Rural | 2009 | Facility | Cross-sectional | Mixed | Midwife/nurse/CHW | 134 | √ | √ | √ | |
| Stangeland 2011 | East Africa | Uganda | <1 district | Rural | 2009 | Population | Cross-sectional | Mixed | TBA | 28 | √ | √ | ||
| Tawfik 2006 | Asia | Cambodia | 2 districts | Urban | 2004 | Population | Cross-sectional | Mixed | Pharm/DV | 70 | √ | √ | √ | |
| Umar 2011 | West Africa | Nigeria | 1 state | Urban | — | Facility | Cross-sectional | Quantitative | FHW | 25 | √ | √ | √ | √ |
| Wylie 2010 | Asia | India | 2 states | Rural/urban | 2006–2008 | Facility | Cross-sectional | Quantitative | PW+HP | 280 | √ | √ | √ | |
Health provider practices inferred from medical file/ANC card.
Health provider practices observed.
CHW, community health worker; DV, drug vendor/drug store; FHW, female health worker; HP, health provider; MA, medical assistant; MD, medical doctor; pharm, pharmacist (trained); PSI, Population Services International Research and Metrics; PW, exit interviews with pregnant women.
Figure 4Prevalence of adherence to treatment policy for malaria in pregnancy assessed in 15 studies with quantitative data.
Pf, P. falciparum; Pv, P. vivax; self-administered, self-administered questionnaire; MiP, malaria in pregnancy.
Figure 5Integration of findings in relation to WHO case management policy [1].
LBW, low birth weight.