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The difference in clinical knowledge between staff employed at faith-based and public facilities in Malawi Cover

The difference in clinical knowledge between staff employed at faith-based and public facilities in Malawi

Open Access
|Feb 2024

Figures & Tables

Table 1

Criteria used to define correct diagnosis and treatment for childhood, pregnancy-related and adult clinical cases

Clinical CaseCorrect diagnosis requiredCorrect treatment required
Child
Malaria with anaemiaMalaria OR simple malaria AnaemiaCoartem/LA: Twice daily for 3 days (total 6 doses)
Iron (+/-folic acid)
Paracetamol (PCM)
Diarrhoea with severe dehydrationDiarrhoea OR acute diarrhoea Dehydration OR severe dehydrationOral rehydration solution (ORS)
OR rehydration using nasogastric tube (NGT)
IV fluids OR referral to another facility
OR referral to another health provider Zinc
PneumoniaPneumonia OR acute respiratory infectionAmoxicillin (+/-dosage specified)
Antipyretic (PCM +/-dosage specified)
Pregnant women
Anaemia in pregnancy (at first ANC visit during second trimester)Pregnancy with anaemia
(+/-iron deficiency anaemia)
Iron (60mg)
Tetanus toxoid immunization
Insecticide-treated net
Malaria prophylaxis
Adult
Pulmonary tuberculosisTuberculosisRifampicin, isoniazid, pyrazinamide, and ethambutol OR Combination therapy OR 4 drugs for 2 months, then 2 drugs for 4 months OR follow up in TB clinic
Type 2 diabetesDiabetes OR type 2 diabetesOral hypoglycaemic medicines OR insulin when hypoglycaemic medicines are ineffective

[i] Notes. Table based on information presented in the Malawi Harmonised Health Facility Assessment 2018/2019 Report.

Table 2

Criteria used to define correct diagnosis and management of emergency maternal and neonatal case

Clinical CaseCorrect diagnosis requiredCorrect management required
Postpartum haemorrhagePostpartum haemorrhageDetermine cause
Stimulate uterine contractions abdominally
Bimanual massage
Intravenous line
Intramuscular oxytocin (+/-dose)
Intravenous oxytocin (+/-dose schedule)
Blood transfusion
Surgery: If other measures fail to stop bleeding.
Subtotal or total hysterectomy
Foley catheter
Neonatal asphyxiaNeonatal asphyxiaCall for help
Dry baby
Keep baby warm
Clear airway
Position neck slightly extended to keep airway clear
Clear airway with aspirator/sucker
Stimulate breathing – rubbing back
Neutral position
Start ventilation with bag and mask
Give 5 good inflation breaths
Check heart rate (femoral or cord or auscultate)
Check breathing
Continue to 30 ventilations/minute
Check if chest rises during ventilation
Stop every 1–2 minutes and check HR or breathing
Stop ventilation if HR >100
Chest compressions
Provide oxygen

[i] Notes. Table based on information presented in the Malawi Harmonised Health Facility Assessment 2018/2019 Report.

Table 3

Summary statistics for the pooled analytical sample of healthcare workers and by facility ownership

PooledCHAMPublic
VariablesPercentSDPercentSDPercentSD
Healthcare worker cadre
Medical Doctor20.1550.2110.12
Medical Assistant520.5380.49570.5
Clinical Officer220.41260.4420.4
Nurse240.43310.46220.41
Type of health facility
Hospital360.48550.5290.45
Health Centre560.5420.49620.49
Dispensary40.210.150.22
Clinic30.1620.1330.17
Health Post10.0900.0610.1
Region
North20.420.4190.4
Central390.4940.49380.49
South420.49410.49420.49
Rural750.43920.28690.46
Clinical Knowledge
Correct diagnosis of diarrhoea with severe dehydration370.48320.47390.49
Correct diagnosis of pneumonia920.28910.29920.27
Correct diagnosis of diabetes870.33930.25850.36
Correct diagnosis of TB930.25930.26940.25
Correct diagnosis of malaria with anaemia380.49340.47390.49
Correct diagnosis of anaemia in pregnancy630.48650.48620.49
Correct diagnosis of post-partum haemorrhage910.28920.27910.29
Correct diagnosis of neonatal asphyxia820.39810.39820.38
Correct treatment of diarrhoea with severe dehydration550.5520.5560.5
Correct treatment of pneumonia790.41810.39780.41
Correct treatment of diabetes780.42850.36750.43
Correct treatment of TB860.35870.34860.35
Correct treatment of malaria with anaemia360.48370.48360.48
Correct treatment of anaemia in pregnancy370.48410.49360.48
Correct diagnosis and treatment of diarrhoea with dehydration250.44220.41270.44
Correct diagnosis and treatment of pneumonia740.44740.44740.44
Correct diagnosis and treatment of diabetes770.42840.37740.44
Correct diagnosis and treatment of TB850.36860.34840.37
Correct diagnosis and treatment of malaria with anaemia250.43230.42250.44
Correct diagnosis and treatment of anaemia in pregnancy250.43270.45240.43
Observations1051286765

[i] Notes. This table presents the descriptive statistics for the analytical sample of clinical staff employed at public and CHAM facilities surveyed for the Clinical Vignette module in the 2018/2019 Malawi HHFA.

Table 4

Summary statistics for the pooled analytical sample of healthcare workers and by facility ownership

PooledCHAMPublic
VariablesAverageSDPercentSDPercentSD
Experience (years)6.967.037.348.096.826.6
Working hours/week58.7336.5855.0334.6560.1137.21
Proportion of correct management of (score 0-100):
Postpartum haemorrhage52.8228.8353.4629.0252.5828.78
Neonatal asphyxia54.531.9456.0431.6153.9332.06
Observations1051286765

[i] Notes. This table presents the descriptive statistics for the analytical sample of clinical staff employed at public and CHAM facilities surveyed for the Clinical Vignette module in the 2018/2019 Malawi HHFA.

Table 5

Faith-based facility ownership and probability of correctly diagnosing childhood illness cases.

(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
VariablesCorrect diagnosis of diarrhoea with severe dehydrationCorrect diagnosis of pneumoniaCorrect diagnosis of malaria with anaemia
CHAM Facility-0.072**-0.084**-0.099***-0.081**-0.016-0.004-0.016-0.014-0.056*-0.049-0.040-0.028
(0.033)(0.033)(0.036)(0.035)(0.020)(0.018)(0.019)(0.020)(0.033)(0.034)(0.037)(0.037)
Cadre: Medical assistant-0.203*-0.171-0.211**0.0240.0490.0340.0400.0630.048
(0.105)(0.107)(0.099)(0.058)(0.068)(0.061)(0.102)(0.099)(0.093)
Cadre: Clinical officer-0.160-0.146-0.185*0.0530.0690.0570.0490.0910.062
(0.107)(0.107)(0.100)(0.057)(0.068)(0.061)(0.104)(0.100)(0.093)
Cadre: Nurse-0.192*-0.169-0.184*-0.105*-0.086-0.107-0.0110.0280.045
(0.106)(0.108)(0.101)(0.062)(0.072)(0.067)(0.103)(0.100)(0.096)
Experience (years)0.0010.0020.003-0.002*-0.003**-0.003**-0.002-0.002-0.001
(0.002)(0.002)(0.002)(0.001)(0.001)(0.001)(0.002)(0.002)(0.002)
Work hours/week-0.000-0.000-0.000-0.000-0.000-0.000-0.000-0.000-0.000
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)
Facility type: Health centre-0.035-0.017-0.038**-0.048**0.0630.071*
(0.040)(0.041)(0.019)(0.022)(0.040)(0.041)
Facility type: Dispensary-0.071-0.031-0.063-0.081-0.116-0.083
(0.081)(0.083)(0.059)(0.062)(0.073)(0.077)
Facility type: Clinic-0.182**-0.118-0.023-0.024-0.206***-0.172**
(0.084)(0.092)(0.051)(0.052)(0.069)(0.076)
Facility type: Health post-0.255*-0.247*
(0.137)(0.130)
Rural area0.006-0.027-0.0040.002-0.057-0.054
(0.042)(0.044)(0.023)(0.026)(0.043)(0.044)
ZoneXXXX
DistrictXX
Observations1,0511,0491,0491,0441,0511,0491,0419201,0511,0491,0411,036

Notes. This table displays average marginal effects from the Probit model specified in Equation 1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The omitted reference categories are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors are shown in parentheses.

Table 6

Faith-based facility ownership and probability of healthcare workers correctly diagnosing adult illness cases.

(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
VariablesCorrect diagnosis of diabetesCorrect diagnosis of tuberculosisCorrect diagnosis of anaemia in pregnancy
CHAM Facility0.083***0.082***0.069***0.072***-0.0060.0050.0180.0250.0330.0290.0090.016
(0.020)(0.019)(0.022)(0.022)(0.017)(0.017)(0.016)(0.023)(0.033)(0.033)(0.037)(0.036)
Cadre: Medical assistant0.0100.0990.0640.0840.140*0.110-0.190**-0.178**-0.152*
(0.079)(0.100)(0.095)(0.073)(0.081)(0.075)(0.085)(0.085)(0.082)
Cadre: Clinical officer0.1160.165*0.1380.0530.1200.098-0.070-0.050-0.035
Cadre: Nurse(0.078)(0.100)(0.096)(0.074)(0.082)(0.076)(0.087)(0.086)(0.083)
-0.0370.0400.0000.0500.1290.048-0.220**-0.193**-0.192**
(0.081)(0.101)(0.097)(0.073)(0.082)(0.080)(0.088)(0.087)(0.085)
Experience (years)-0.001-0.000-0.0000.004**0.005***0.006***-0.004*-0.004**-0.003
(0.002)(0.001)(0.002)(0.002)(0.001)(0.002)(0.002)(0.002)(0.002)
Work hours/week0.0000.001**0.001***0.000*0.0000.001*0.0010.0010.001
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)
Facility type: Health centre-0.077***-0.083***0.041**0.064**-0.019-0.004
(0.023)(0.025)(0.018)(0.027)(0.039)(0.042)
Facility type: Dispensary-0.125**-0.159**0.004-0.012-0.007-0.022
(0.061)(0.068)(0.045)(0.069)(0.080)(0.081)
Facility type: Clinic-0.097-0.066-0.042-0.029-0.158*-0.167*
(0.071)(0.061)(0.056)(0.058)(0.095)(0.095)
Facility type: Health post-0.253-0.190-0.420***-0.449**-0.381**-0.336*
(0.156)(0.137)(0.163)(0.195)(0.156)(0.178)
Rural-0.044-0.049*-0.023-0.0320.0190.008
(0.027)(0.029)(0.016)(0.024)(0.041)(0.044)
ZoneXXX
DistrictXXX
Observations1,0511,0491,0491,0081,0511,0491,0496941,0511,0491,0491,049

Notes. This table displays average marginal effects from the Probit model specified in Equation 1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The omitted reference categories are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors are shown in parentheses.

Table 7

Faith-based facility ownership and probability of healthcare workers correctly diagnosing emergency maternal and neonatal cases.

(1)(2)(3)(4)(5)(6)(7)(8)
VariablesCorrect diagnosis of post-partum haemorrhageCorrect diagnosis of neonatal asphyxia
CHAM Facility0.0110.0130.0140.023-0.006-0.018-0.040-0.031
(0.019)(0.018)(0.018)(0.022)(0.027)(0.028)(0.031)(0.031)
Cadre: Medical Assistant-0.0070.0190.012-0.085-0.085-0.116**
(0.055)(0.066)(0.075)(0.070)(0.072)(0.056)
Cadre: Clinical Officer0.0190.0550.069-0.030-0.018-0.042
(0.056)(0.066)(0.076)(0.072)(0.072)(0.056)
Cadre: Nurse-0.0180.026-0.009-0.023-0.016-0.059
(0.057)(0.067)(0.076)(0.071)(0.073)(0.058)
Experience (years)0.004**0.004**0.003*0.0030.0020.001
(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
Work hours/week0.001*0.0000.001**0.000-0.000-0.000
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)
Facility type: Health centre0.0180.023-0.028-0.011
(0.021)(0.028)(0.030)(0.032)
Facility type: Dispensary-0.055-0.169**-0.0130.010
(0.051)(0.084)(0.061)(0.059)
Facility type: Clinic-0.088-0.049-0.082-0.024
(0.074)(0.068)(0.088)(0.073)
Facility type: Health post-0.203-0.114-0.236-0.136
(0.159)(0.122)(0.173)(0.144)
Rural-0.019-0.0310.0380.024
(0.021)(0.027)(0.035)(0.037)
ZoneXX
DistrictXX
Observations1,0511,0491,0498561,0511,0491,0491,044

Notes. This table displays average marginal effects from the Probit model specified in Equation 1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The omitted reference categories are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors are shown in parentheses.

Table 8

Faith-based facility ownership and probability of healthcare workers correctly treating childhood illness cases.

(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
VariablesCorrect treatment of diarrhoea with severe dehydrationCorrect treatment of pneumoniaCorrect treatment of malaria with anaemia
CHAM Facility-0.040-0.043-0.088**-0.0570.0270.0260.0060.0190.0110.0090.0100.021
(0.035)(0.035)(0.038)(0.038)(0.028)(0.028)(0.031)(0.030)(0.033)(0.034)(0.036)(0.034)
Cadre: Medical assistant-0.059-0.031-0.040-0.085-0.065-0.075-0.265***-0.240**-0.212**
(0.104)(0.104)(0.096)(0.071)(0.076)(0.073)(0.101)(0.097)(0.093)
Cadre: Clinical officer-0.029-0.052-0.047-0.075-0.077-0.084-0.214**-0.192**-0.169*
(0.106)(0.105)(0.096)(0.073)(0.078)(0.075)(0.103)(0.098)(0.093)
Cadre: Nurse-0.064-0.063-0.054-0.094-0.077-0.071-0.334***-0.290***-0.209**
(0.106)(0.106)(0.098)(0.073)(0.078)(0.075)(0.102)(0.099)(0.096)
Experience (years)-0.006***-0.005**-0.004**-0.004**-0.003*-0.003*0.0010.0010.001
(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
Work hours/week-0.0000.0000.000-0.000-0.0000.0000.0010.001**0.001***
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)
Facility type: Health centre-0.154***-0.156***-0.073**-0.066**0.0110.012
(0.040)(0.041)(0.032)(0.033)(0.038)(0.039)
Facility types: Dispensary-0.204**-0.194**0.0370.043-0.107-0.123*
(0.084)(0.085)(0.059)(0.058)(0.072)(0.070)
Facility type: Clinic-0.111-0.111-0.030-0.0090.1120.132
(0.093)(0.091)(0.070)(0.067)(0.095)(0.084)
Facility type: Health post0.242**0.258***-0.174-0.1630.0510.041
(0.113)(0.097)(0.158)(0.152)(0.178)(0.166)
Rural0.0630.083*0.0280.020-0.037-0.024
(0.043)(0.043)(0.036)(0.037)(0.041)(0.040)
ZoneXXX
DistrictXXX
Observations1,0511,0491,0491,0391,0511,0491,0491,0441,0511,0491,0491,049

Notes. This table displays average marginal effects from the Probit model specified in Equation 1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The omitted reference categories are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors are shown in parentheses.

Table 9

Faith-based facility ownership and probability of healthcare workers correctly treating adult illness cases.

(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
VariablesCorrect treatment of diabetesCorrect treatment of tuberculosisCorrect treatment of anaemia in pregnancy
CHAM Facility0.095***0.092***0.075***0.081***0.0110.0190.0090.0030.0500.0330.0040.020
(0.026)(0.027)(0.029)(0.029)(0.024)(0.023)(0.025)(0.029)(0.034)(0.034)(0.037)(0.037)
Cadre: Medical assistant-0.0570.0280.016-0.0020.0710.076-0.112-0.060-0.061
(0.083)(0.093)(0.091)(0.069)(0.089)(0.112)(0.105)(0.104)(0.097)
Cadre: Clinical officer0.0830.0980.0930.0310.0810.108-0.013-0.024-0.019
(0.083)(0.093)(0.092)(0.070)(0.090)(0.112)(0.107)(0.104)(0.097)
Cadre: Nurse-0.127-0.075-0.083-0.090-0.002-0.023-0.075-0.047-0.021
(0.086)(0.095)(0.094)(0.072)(0.091)(0.113)(0.106)(0.105)(0.100)
Experience (years)-0.003*-0.004**-0.003*-0.001-0.000-0.001-0.004*-0.004*-0.004*
(0.002)(0.002)(0.002)(0.002)(0.001)(0.002)(0.002)(0.002)(0.002)
Work hours/week0.0000.0000.0000.0000.001*0.001**-0.001**-0.001-0.000
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)
Facility type: Health centre-0.116***-0.117***-0.046*-0.069**-0.137***-0.136***
(0.031)(0.033)(0.024)(0.030)(0.040)(0.042)
Facility type: Dispensary-0.146**-0.181**-0.117*-0.206**-0.095-0.095
(0.071)(0.078)(0.068)(0.085)(0.082)(0.082)
Facility type: Clinic-0.074-0.065-0.155**-0.168**-0.051-0.051
(0.080)(0.073)(0.078)(0.083)(0.093)(0.090)
Facility type: Health post-0.177-0.114-0.255*-0.295*-0.151-0.155
(0.161)(0.133)(0.138)(0.172)(0.178)(0.160)
Rural-0.047-0.055-0.029-0.0120.0160.033
(0.034)(0.037)(0.026)(0.034)(0.041)(0.043)
ZoneXXX
DistrictXXX
Observations1,0511,0491,0491,0491,0511,0491,0498641,0511,0491,0491,049

Notes. This table displays average marginal effects from the Probit model specified in Equation 1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The omitted reference categories are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors are shown in parentheses.

Table 10

Association between faith-based ownership and correct management of emergency maternal and neonatal cases.

(1)(2)(3)(4)(5)(6)(7)(8)
VariablesCorrect management of post-partum haemorrhageCorrect management of neonatal asphyxia
CHAM Facility0.880-0.542-2.6650.3052.1110.500-2.534-0.046
(2.006)(2.030)(2.198)(2.161)(2.199)(2.234)(2.366)(2.357)
Cadre: Medical assistant-5.125-1.214-4.103-4.133-0.732-2.839
(6.022)(6.171)(5.057)(6.782)(6.516)(5.776)
Cadre: Clinical officer5.3276.2524.6887.8529.5737.539
(6.140)(6.275)(5.109)(6.902)(6.585)(5.853)
Cadre: Nurse1.4434.4811.4063.6326.8045.116
(6.133)(6.240)(5.252)(6.901)(6.593)(5.949)
Experience (years)-0.124-0.094-0.119-0.058-0.077-0.076
(0.129)(0.129)(0.120)(0.142)(0.136)(0.130)
Work hours/week-0.015-0.0060.014-0.009-0.0140.009
(0.023)(0.024)(0.024)(0.026)(0.027)(0.027)
Facility type: Health centre-6.935***-3.560-7.659***-5.007*
(2.410)(2.470)(2.614)(2.645)
Facility type: Dispensary11.003***-9.837***-1.584-0.816
(4.261)(3.679)(4.543)(4.497)
Facility type: Clinic-9.944*-3.665-12.063**-5.505
(5.790)(5.523)(5.898)(5.650)
Facility type: Health post-14.193-9.658-21.023**-19.002**
(9.538)(8.941)(10.238)(7.923)
Rural0.841-1.6843.5550.544
(2.566)(2.605)(2.703)(2.673)
ZoneXX
DistrictXX
Constant52.578***55.895***56.074***68.095***53.925***54.868***58.967***79.664***
(1.041)(6.210)(6.638)(8.912)(1.160)(7.069)(6.946)(8.147)
Observations1,0511,0491,0491,0491,0511,0491,0491,049
R-squared0.0000.0230.0710.2100.0010.0250.0940.213

Notes. This table displays the coefficients from the Ordinary Least Squares regression model following Equation

1. Clinical vignette data of healthcare workers employed at CHAM and government facilities from the 2018/2019 Malawi HHFA is used for analysis. The outcome variables are defined as the proportion of correct management actions measured by a score of 0-100. The omitted reference categories for control variables are Cadre: Doctor and Facility type: Hospital. Statistical level of significance is indicated as;

* p < .10,

** p < .05,

*** p < .01. Robust standard errors clustered on districts are shown in parentheses.

Language: English
Page range: 46 - 63
Submitted on: Sep 1, 2023
Accepted on: Nov 3, 2023
Published on: Feb 25, 2024
Published by: Global Health Institute at William Carey International University
In partnership with: Paradigm Publishing Services

© 2024 Wiktoria Tafesse, Martin Chalkley, published by Global Health Institute at William Carey International University
This work is licensed under the Creative Commons Attribution 4.0 License.