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Effect of Health Education on the Knowledge of Pregnant Women on Iron and Folic Acid Supplements: A Stepped Wedge Cluster Randomized Trial

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Abstract Iron deficiency poses a significant public health challenge during pregnancy. However, optimal uptake of antenatal micronutrients is hampered by lack of knowledge. We investigated the effect of health education on knowledge of women regarding antenatal Iron and Folic Acid Supplements (IFAS). In a 9-month trial, antenatal care clinics received a maternal IFAS awareness package, which included education for both health workers and pregnant women and health Information Education and Communication (IEC) materials. The study found that IFAS knowledge improved from 44.8% to 81.1%, a 36-percentage point increase. To enhance IFAS knowledge, hence uptake, the study recommends targeted health education emphasizing IFAS benefits, management of IFAS side effects, along with providing
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Arcle Type: Research Arcle
Volume 2 Issue 2 - 2024
Eect of Health Education on the Knowledge of Pregnant Women
on Iron and Folic Acid Supplements: A Stepped Wedge Cluster
Randomized Trial
Haron Njiru1*; Mary W Gitahi1; Eunice Njogu2
1Department of Family Medicine, Community Health, and Epidemiology, Kenyaa University, Kenya.
2Department of Food, Nutrion and Dietecs, Kenyaa University, Kenya.
*Corresponding author: Haron Njiru
Department of Family Medicine, Community Health, and
Epidemiology, Kenyaa University, Kenya.
Email: njiru@outlook.com
Received: Mar 25, 2024
Accepted: Apr 15, 2024
Published: Apr 22, 2024
Epidemiology & Public Health - www.jpublichealth.org
Njiru Z © All rights are reserved
Citaon: Njiru H, Gitahi MW, Njogu E. Eect of Health
Educaon on the Knowledge of Pregnant Women on Iron
and Folic Acid Supplements: A Stepped Wedge Cluster
Randomized Trial. Epidemiol Public Health. 2024; 2(2): 1042.
www.jpublichealth.org
Open Access
Introducon
Micronutrients are necessary for growth, development, and
normal funconing. Although required in minute amounts, their
deciency is a global public health challenge. The daily recom-
mended dietary allowance for iron and folate increases by 50%
during pregnancy from 18 milligrams (mg) to 27 mg, and from
400 micrograms (μg) to 600 μg for iron and folate respecvely [1]
due to the rapid mulplicaon of placental and fetal ssues. Diet
alone cannot fully sasfy the increased demand, hence the need
for daily micronutrient supplementaon to avert deciencies.
Deciency of iron and folic acid during pregnancy increases
the risk of anemia which is a leading cause of maternal deaths
and adverse pregnancy outcomes. The global prevalence of
Anemia in Pregnancy (AiP) is esmated at 38.2% or 32.4 million
pregnant, making anemia the most common medical disorder
in pregnancy. At 22% the Western Pacic region, the Americas,
and the European region have the lowest prevalence of AiP [2]
while lower income countries in South East Asia and Sub Saha-
ran Africa have more than double the AiP burden at 46.2% [3].
The AiP prevalence is esmated at 36% in East Africa [4] and
62% in Kenya [5] with women in rural areas being more aected
than those in urban areas at 50.8% and 29.5% respecvely [6].
Studies have associated AiP with low-birth-weight babies
and preterm births [7], suscepbility to childhood diarrhea and
respiratory infecons, and poor neurological development [8],
increased perinatal, postnatal and under-5 mortality [9], and
disrupted growth in adolescent mothers [10]. Indeed, pregnant
women with severe AiP are twice as likely to die [11]. In Kenya,
10% and 20% of maternal and prenatal deaths respecvely are
aributable to anemia [12]. AiP can also trigger geophagy in
pregnancy, a widespread pracce detrimental to maternal and
child health [13].
In populaons at risk of iron deciency, the World Health
Organizaon (WHO) recommends a daily intake of 60 mg iron
and 400 μg of folic acid as a standard of care for prevenng
AiP [1]. Antenatal iron supplements can reduce the risk of iron
deciency, halve the risk of neonatal death and reduce the in-
cidence of low-birth-weight babies [14-16] while folic acid re-
duces the risk of underweight births, pre-eclampsia, placental
abrupon, preterm births, small for gestaonal age infants, and
birth defects, and improve academic performance [17,18]. This
sustains the gains made on the 1st, 4th and 5th Millennium De-
velopment Goals, contributes towards the 2nd Sustainable De-
velopment Goal’s (SDG) target of ending hunger and all forms of
Abstract
Iron deciency poses a signicant public health challenge
during pregnancy. However, opmal uptake of antenatal
micronutrients is hampered by lack of knowledge. We in-
vesgated the eect of health educaon on knowledge of
women regarding antenatal Iron and Folic Acid Supplements
(IFAS). In a 9-month trial, antenatal care clinics received a
maternal IFAS awareness package, which included educaon
for both health workers and pregnant women and health
Informaon Educaon and Communicaon (IEC) materials.
The study found that IFAS knowledge improved from 44.8%
to 81.1%, a 36-percentage point increase. To enhance IFAS
knowledge, hence uptake, the study recommends targeted
health educaon emphasizing IFAS benets, management of
IFAS side eects, along with providing standardized informa-
on materials to the clinics.
Epidemiology & Public Health
www.jpublichealth.org
Njiru H
malnutrion by 2030 [19], and the rst 3 (of the six) 2025 global
nutrion targets [20].
Advocacy for Iron and Folic Acid Supplements (IFAS) as a
strategy for anemia prevenon is arculated in key global and
naonal commitments and policy frameworks. The global nutri-
on target for 2025 is to achieve a 50% reducon of anemia
among women of reproducve age. Compared to the 2011
baseline [4,20]. To meet this target, 18% of all the investments
towards anemia should be directed towards antenatal IFAS [21].
The naonal IFAS program in Kenya is guided by various naonal
policies on nutrion, food security and micronutrient deciency
control [22]. Kenya has also endorsed the Scaling up Nutrion
(SUN) movement[23], which promotes antenatal IFAS as a core
high impact intervenon.
Despite the manifold benets and the global advocacy, prog-
ress in the uptake of antenatal IFAS has been slow. This has
been aributed to inadequate knowledge of the relaonship
between IFAS and anemia, lack of awareness on the risk of AiP
and limited knowledge on the management of IFAS side eects
[12,24-27].
Health educaon and promoon play crucial roles in en-
hancing knowledge, shaping beliefs, and inuencing atudes.
Consequently, they contribute to greater ulizaon of health
services [28,29]. Consistent health educaon fosters deeper
understanding and encourages posive behavioral shis [24].
Health educaon and promoon should strategically target the
health workers and pregnant women. Health workers play a piv-
otal role in enhancing health literacy, making their empower-
ment essenal for successful implementaon of facility-based
intervenons, [30,31] equally essenal is the need to acvely
engage the pregnant women. The behavior change interven-
ons should create awareness about a desired behavior, mo-
vate change by underscoring the posive and negave conse-
quences, and provide opportunies for praccing the desired
behaviors [32].
The MIA trial sought to enhance knowledge, modify atudes
and beliefs, and skills to posively inuence IFAS uptake using
mulple behavior change techniques [28,29]. This was achieved
through face-to-face health educaon sessions provided to
pregnant women by health workers, provision of study IEC ma-
terials and the pill reminder cards. The trial’s chain of results is
depicted in Figure 1.
Methodology
Study design
A stepped wedge Cluster Randomized Trial (swCRT) was de-
signed using Antenatal Care (ANC) clinics as units of random-
izaon. This design was suitable since individual randomizaon
was impraccal for logiscal and ethical reasons. All clusters
started the trial at the same me and acted as controls unl
they were randomized to crossover from control to the inter-
venon phase.
Study seng
The Maternal IFAS Awareness (MIA) trial was conducted in
Embu County, Kenya. With an esmated populaon of 609,000,
Embu county is the 12th most populous County, out of the 47
counes in Kenya [33]. About half (43%) of the pregnant wom-
en in the County aend ANC, 6% of them consume IFAS for at
least 90 days [34], just over a half (53%) do not complete ANC
visits and one in every six are anemic [35]. The study populaon
were the pregnant women aending ANC clinics at the selected
public health facilies that oered antenatal care.
Intervenon
The study intervenon was grounded on the social cognive
theory of behavior change [32]. The intervenon entailed (1)
IFAS informaon sessions with ANC service providers delivered
in 60 minutes lunchme sessions to minimize interrupon of
service delivery, (2) Daily IFAS literacy sessions with pregnant
women, and (3) provision of Informaon, Educaon and Com-
municaon (IEC) materials (Pill Reminder Card (PRC) and MIA
wall calendars) to pregnant women. The calendars had IFAS
messages and were pre-populated with personalized ANC clinic
return dates. All IEC materials were adapted from the naonal
IFAS program and customized to t the local context based on
evidence from the baseline facility assessment.
The MIA trial ran for 9 months (June 2022 to February 2023).
This entailed one month for baseline data collecon and cus-
tomizaon of health educaon messages, seven months inter-
venon, and another month to nalize the data collecon and
the handover processes. Execuon of the study including avail-
ability of supplies and connuity of counselling was enhanced
through biweekly spot-checks and monthly audits. The inter-
venon is described in detail in the study protocol [36].
Sample size determinaon
The number of clusters to enroll in MIA trial was esmated
using the two equaons proposed by Hayes & Benne [37]. A
total of 12 clusters were required for the survey. With a 5% mar-
gin of error, assuming 6% IFAS uptake and a 5% non-response
rate, the minimum number of respondents for baseline and
endline surveys was 92 women Detailed sample size calculaon
and the sampling technique is shown in the protocol [36].
Data collecon and analysis
Data was collected using an interviewer-administered ques-
onnaire and pill counng. The quesonnaire obtained infor-
maon on sociodemographic characteriscs and levels of IFAS
knowledge among women across 5 areas: Benets of IFAS, gesta-
on age at which IFAS should be iniated, best me to take IFAS,
daily dose requirements, and management of IFAS side eects.
Proporons were used to describe the demographic charac-
teriscs and sources of IFAS informaon. Addionally, the t-test
stasc was employed to compare changes in knowledge levels
between control and intervenon phases. The precision of es-
mates was based on p-values and 95% Condence Intervals (CI),
with signicance set at 0.005.
Logiscal and ethical consideraons
The trial was registered in the Pan African Clinical Trial Reg-
istry (PACTR202202775997127), permit obtained from Na-
onal Commission for Science, Technology and Innovaon
(NACOSTI/P/22/16168), and clearance sought from the County
health authories. Ethical approval was granted by Kenyaa
University Ethics Review Commiee (PKU/2443/11575).
Findings
A total of 11,569 ANC visits were registered at the 12 clusters
between June 2022 and January 2023. All women receiving ANC
services during the intervenon phase were provided with PRCs
to monitor their IFAS uptake. A total of 192 pregnant women
(96 at baseline and 96 during the intervenon period) parci-
02
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03
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pated in the exit surveys. The average age of study parcipants
was 25 years, most were married (78%), unemployed (64%),
lived in rural areas (66%), nulliparous (60%), and had started
ANC at 16 weeks (Table 1).
Women’s knowledge on IFAS was assessed at baseline and
during the intervenon. The knowledge score improved from
44.8% (95% CI: 38.80-50.71) at baseline to 81.1% (95% CI:
79.75-82.49) during the intervenon. This reected a 36.36
(95% CI: 31.82-40.91) percentage point improvement in levels
of IFAS knowledge.
At baseline, knowledge on the daily dose requirement was
the highest at 95.5% while knowledge on of IFAS side eects
was the lowest at 32.6%, sll the laer tailed following the in-
tervenon at 72.5%. Knowledge on the best me to take IFAS
showed the greatest improvement at 47.7 percentage points,
while knowledge on the benets of IFAS was the least impacted
by the intervenon with an eect esmate of 34.7 percentage
points (Table 2).
The main source of informaon for IFAS during the interven-
on was from conversaons with skilled health workers and
peers. This was a shi compared with the baseline situaon
when the main sources of IFAS informaon had been commu-
nity health workers (Table 3).
Improvements in levels of IFAS knowledge following the in-
tervenon were observed across all clusters (Figure 2). Further-
more, a posive but stascally insignicant correlaon was
observed between knowledge and number of ANC contacts. For
every addional ANC contact, knowledge levels improved by a
coecient of 1.1 (95% CI: -2.1-4.3).
Pearson correlaon coecient (r) was calculated to evaluate
the relaonship between IFAS knowledge and uptake. Although
a posive correlaon was observed, it was weak (r=0.228, in-
dicang only a 5% variability between knowledge and uptake).
An adjusted linear predicon model revealed that even with a
perfect 100% knowledge score, IFAS uptake would only reach a
maximum of 47.3% (Figure 3).
Figure 2: Cluster level knowledge of pregnant women on IFAS.
38 41
49
33 38 40 43 40 46 43
67 67
45
80 79 78 82 86 80 84 78 82 82 85 80 81
1 2 3 4 5 6 7 8 9 10 11 12 Overall
Knowledge score (%)
Clusters
Baseline Intervention
Figure 1: The MIA trial results chain.
Figure 3: Predicted associaon between knowledge and IFAS up-
take.
Table 1: Demographic characteriscs of survey respondents at baseline.
Characterisc Respondents (n=96)
Age (years) 25.3(5.9)
20 years and above 82(85%)
Below 20 years 14(15%)
Marital status
Married 75(78%)
Not married 21(22%)
Level of educaon
Primary 38(40%)
Secondary 43(45%)
College 15(16%)
Place of residence
Rural 63(66%)
Urban 33(34%)
Employment status
Employed/business 35(36%)
Unemployed 61(64%)
Parity
Mulparous 38(40%)
Nulliparous 58(60%)
Gestaon at rst ANC 16.2(8.1)
Within inial 12 weeks 36(38%)
Aer 12 weeks 60(62%)
Data are n (%) or mean (SD)
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Table 2: Knowledge on IFAS.
Aspect of IFAS knowledge
Control Intervenon Eect esmate
mean (SD) mean (SD) (95% CI)
Benets of IFAS 47.7(26.3) 82.4(15.2) 34.7(27.5-41.8)
Gestaon age to start IFAS 56.8(52.1) 98.8(16.7) 42.0(31.0-53.0)
Best me to take IFAS 43.1(58.1) 90.9(28.9) 47.7(34.1-61.3)
Daily dose of IFAS 95.5(21.1) 100.0(--) 4.5(0.1-9.0)
Management of side eects 32.6(22.7) 72.5(8.0) 40.0(34.6-45.3)
Overall 44.8(19.6) 81.1(6.5) 36.4(31.8-40.9)
Table 3: Sources of IFAS informaon.
Source of IFAS informaon Control
(n=44)
Intervenon
(n=88)
Pearson’s x2
p-value
Skilled health workers 21(48%) 74(84%) <0.001*
Peers / friends 21(48%) 70(80%) <0.001*
Community health workers 26(59%) 46(52%) 0.5
Family member 20(45%) 43(49%) 0.7
Magazine / newspapers / posers 24(55%) 41(47%) 0.4
Radio/ TV 11(25%) 20(23%) 0.8
Other sources 10(23%) 17(19%) 0.6
Facebook/ Internet 5(11%) 12(14%) 0.7
Discussion
The baseline levels of IFAS knowledge among pregnant
women were low, at 44.8%. Knowledge on management of side
eects and IFAS benets were the lowest at 32% and 47% re-
specvely. Only daily dose had a knowledge score above 90%
at baseline. Low levels of IFAS knowledge have been shown in
other studies. A quasi experimental study in Kiambu - Kenya
showed a 57% IFAS knowledge at baseline [38] and a general
lack of awareness in western Kenya and Ethiopia [27,39].
Limited knowledge on benets of any intervenon coupled
with limited knowledge on how to manage potenal side ef-
fects, as observed in the MIA trial at baseline, could hinder up-
take, especially if the intervenon has side eects, and when the
benet of an intervenon is not instant, as is the case with IFAS.
The IFAS knowledge increased from 44.8% at baseline to
81.1% during the intervenon, a dierence of 36.4 percentage
points. The baseline assessment had idened key knowledge
gaps and the design of IEC materials for the MIA trial had been
customized to address these gaps among health workers and
pregnant women. In addion, the IFAS sessions with health
workers at the study incepon together with the availability of
relevant IEC materials provided an enabling environment for
discussion between health workers and pregnant women [31]
which could explain the observed improvement in knowledge
levels. Furthermore, the main sources of informaon switched
from community health workers at baseline to skilled health
workers and peers during the intervenon period. This could
imply that in addion to boosng their condence, [31] pro-
viding health workers with IEC materials provided them with a
structured and beer way to counsel women on IFAS, which in
turn increased the women’s level of knowledge on antenatal
IFAS.
That parcipants in the MIA trial had signicantly higher
knowledge levels aer the intervenon is promissory. However,
not achieving 100% knowledge levels is disappoinng. This fail-
ure could have been due to varying knowledge-retenon capac-
ies among respondents owing to the dierences in levels of
academic achievements, and the delity of the intervenon im-
plementaon. Faced with a heavy workload occasioned by the
free maternity services policy, health workers are likely to pay
less emphasis on the needs of individual women, as required
for the MIA intervenon, and this could have weakened the in-
tensity of knowledge transfer. This phenomenon is reinforced
with the observaon that knowledge improved with increasing
number of ANC contacts, albeit insignicantly. A similar shorall
was observed in a study in Uganda where IFAS knowledge im-
proved from 57 to 92% [38].
There was a posive but weak correlaon between the lev-
els of IFAS knowledge and uptake. That beer knowledge leads
to improved uptake of IFAS has also been reported in other
studies [26,38,40,41]. Those who had beer knowledge were
more likely to adhere but only up to a maximum of 47.3%. This
implies that while knowledge is necessary for uptake, knowl-
edge alone is not sucient to achieve sustained uptake. The
observaon that coverage exceeded 47.3% indicates presence
of other factors that movated women to take IFAS over and
above their knowledge about IFAS. This could be the eect of
PRC, but needs further exploraon.
Having a PRC with informaon on IFAS served mulple func-
ons: First, it was a mnemonic, and secondly it was informaon-
al. On the other hand, wall calendars served as visual reminders
of the importance of IFAS, addionally reminding women about
the ANC return date during which their IFAS supplies would be
relled, they would also interact with peers, and learn more
about IFAS from the healthcare providers. Furthermore, health
workers were also provided with IEC materials and a structured
way of communicang about IFAS to women, with a focus on
importance of IFAS, potenal side eects, and how to migate
the laer. The importance of visual aids such as the MIA wall
calendars and PRC have been previously documented, though
not in relaon to antenatal IFAS [42].
Conclusion
Pregnant women have low levels of IFAS knowledge. Women
are generally oblivious of the IFAS benets. This hinders opmal
uptake of IFAS, a situaon exasperated by limited knowledge
of women on how to manage the IFAS side eects. The levels
of IFAS knowledge increased with the number of ANC contacts
and that IFAS knowledge had a posive, albeit weak, inuence
on IFAS uptake.
Recommendaons
The MIA trial has shown that public health educaon has
the potenal to improve IFAS knowledge and thereby uptake
in antenatal care sengs. The government should provide ANC
clinics with IFAS guidelines and IEC materials to ensure preg-
nant women receive comprehensive IFAS informaon as part of
roune ANC care. Furthermore, health workers should be sen-
sized about the MoH IFAS guidelines to improve the quality
and consistency of messages passed to pregnant women, and
lastly, health workers should educate pregnant women on IFAS
at every ANC visit to improve their IFAS knowledge and uptake.
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05
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Declaraons
Author contribuons: HN draed the study ndings, inter-
pretaon of the ndings and discussion. All authors contributed
to renement of the ndings and approved the nal manuscript.
Funding: This research received no grant from any funding
agency.
Compeng interests: The authors have no nancial or other
compeng interests to declare.
Acknowledgements: We extend our hearelt gratude to
the Kenya Ministry of Health, parcularly the Embu County
health management team and the dedicated facility in-charges.
Their collaboraon was instrumental in the success of this trial.
We also express our appreciaon to every expectant woman
whose parcipaon was the cornerstone of this trial, and to our
research assistants, Caleb Karanja and Rose Kendagor.
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Background: Printed educational materials are widely used dissemination strategies to improve the quality of healthcare professionals' practice and patient health outcomes. Traditionally they are presented in paper formats such as monographs, publication in peer-reviewed journals and clinical guidelines. This is the fourth update of the review. Objectives: To assess the effect of printed educational materials (PEMs) on the practice of healthcare professionals and patient health outcomes. To explore the influence of some of the characteristics of the printed educational materials (e.g. source, content, format) on their effect on healthcare professionals' practice and patient health outcomes. Search methods: We searched MEDLINE, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), HealthStar, CINAHL, ERIC, CAB Abstracts, Global Health, and EPOC Register from their inception to 6 February 2019. We checked the reference lists of all included studies and relevant systematic reviews. Selection criteria: We included randomised trials (RTs), controlled before-after studies (CBAs) and interrupted time series studies (ITSs) that evaluated the impact of PEMs on healthcare professionals' practice or patient health outcomes. We included three types of comparisons: (1) PEM versus no intervention, (2) PEM versus single intervention, (3) multifaceted intervention where PEM is included versus multifaceted intervention without PEM. Any objective measure of professional practice (e.g. prescriptions for a particular drug), or patient health outcomes (e.g. blood pressure) were included. Data collection and analysis: Two reviewers undertook data extraction independently. Disagreements were resolved by discussion. For analyses, we grouped the included studies according to study design, type of outcome and type of comparison. For controlled trials, we reported the median effect size for each outcome within each study, the median effect size across outcomes for each study and the median of these effect sizes across studies. Where data were available, we re-analysed the ITS studies by converting all data to a monthly basis and estimating the effect size from the change in the slope of the regression line between before and after implementation of the PEM. We reported median changes in slope for each outcome, for each study, and then across studies. We standardised all changes in slopes by their standard error, allowing comparisons and combination of different outcomes. We categorised each PEM according to potential effects modifiers related to the source of the PEMs, the channel used for their delivery, their content, and their format. We assessed the risks of bias of all the included studies. Main results: We included 84 studies: 32 RTs, two CBAs and 50 ITS studies. Of the 32 RTs, 19 were cluster RTs that used various units of randomisation, such as practices, health centres, towns, or areas. The majority of the included studies (82/84) compared the effectiveness of PEMs to no intervention. Based on the RTs that provided moderate-certainty evidence, we found that PEMs distributed to healthcare professionals probably improve their practice, as measured with dichotomous variables, compared to no intervention (median absolute risk difference (ARD): 0.04; interquartile range (IQR): 0.01 to 0.09; 3,963 healthcare professionals randomised within 3073 units). We could not confirm this finding using the evidence gathered from continuous variables (standardised mean difference (SMD): 0.11; IQR: -0.16 to 0.52; 1631 healthcare professionals randomised within 1373 units ), from the ITS studies (standardised median change in slope = 0.69; 35 studies), or from the CBA study because the certainty of this evidence was very low. We also found, based on RTs that provided moderate-certainty evidence, that PEMs distributed to healthcare professionals probably make little or no difference to patient health as measured using dichotomous variables, compared to no intervention (ARD: 0.02; IQR: -0.005 to 0.09; 935,015 patients randomised within 959 units). The evidence gathered from continuous variables (SMD: 0.05; IQR: -0.12 to 0.09; 6,737 patients randomised within 594 units) or from ITS study results (standardised median change in slope = 1.12; 8 studies) do not strengthen these findings because the certainty of this evidence was very low. Two studies (a randomised trial and a CBA) compared a paper-based version to a computerised version of the same PEM. From the RT that provided evidence of low certainty, we found that PEM in computerised versions may make little or no difference to professionals' practice compared to PEM in printed versions (ARD: -0.02; IQR: -0.03 to 0.00; 139 healthcare professionals randomised individually). This finding was not strengthened by the CBA study that provided very low certainty evidence (SMD: 0.44; 32 healthcare professionals). The data gathered did not allow us to conclude which PEM characteristics influenced their effectiveness. The methodological quality of the included studies was variable. Half of the included RTs were at risk of selection bias. Most of the ITS studies were conducted retrospectively, without prespecifying the expected effect of the intervention, or acknowledging the presence of a secular trend. Authors' conclusions: The results of this review suggest that, when used alone and compared to no intervention, PEMs may slightly improve healthcare professionals' practice outcomes and patient health outcomes. The effectiveness of PEMs compared to other interventions, or of PEMs as part of a multifaceted intervention, is uncertain.