Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic review

Shrish Raut; Aditi Apte; Manikandan Srinivasan; Nonita Dudeja; Girish Dayma; Bireshwar Sinha; Ashish Bavdekar

doi:10.1371/journal.pone.0262871

. 2022 Jan 26;17(1):e0262871. doi: 10.1371/journal.pone.0262871

Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic review

Shrish Raut ^1,^‡, Aditi Apte ^2,^‡,^*, Manikandan Srinivasan ³, Nonita Dudeja ⁴, Girish Dayma ¹, Bireshwar Sinha ⁵, Ashish Bavdekar ⁶

Editor: Emily A Hurley⁷

PMCID: PMC8791521 PMID: 35081138

Abstract

Background

Pregnancy and early infancy are considered to be the vulnerable phases for severe influenza infection causing morbidity and mortality. Despite WHO recommendations, influenza is not included in the immunization programs of many low- and middle-income countries. This systematic review is aimed at identifying barriers and facilitators for maternal influenza vaccination amongst the perinatal women and their health care providers in low- and middle-income countries.

Methods

We selected 11 studies from the 1669 records identified from PubMed, CABI, EMBASE and Global Health databases. Studies related to both pandemic and routine influenza vaccination and studies conducted amongst women in the antenatal as well as postnatal period were included. Both qualitative, quantitative, cross-sectional and interventional studies were included.

Results

Knowledge about influenza disease, perception of the disease severity during pregnancy and risk to the foetus/newborn and perceived benefits of influenza vaccination during pregnancy were associated with increased uptake of influenza vaccination during pregnancy. Recommendation by health care provider, vaccination in previous pregnancy and availability of vaccine in public health system facilitated vaccine uptake. High parity, higher education, vaccination in the later months of pregnancy, less than 4 antenatal visits, concerns about vaccine safety and negative publicity in media were identified as barriers for influenza vaccination. Lack of government recommendation, concerns about safety and effectiveness and distrust in manufacturer were the barriers for the healthcare providers to recommend vaccination.

Conclusion

While availability of influenza vaccine in public health system can be a key to the success of vaccine implementation program, increasing the awareness about need and benefits of maternal influenza vaccination amongst pregnant women as well as their health care providers is crucial to improve the acceptance of maternal influenza vaccination in low and middle-income countries.

Background

Pregnant women and neonates are known to be vulnerable to severe influenza disease complications, and death [1–3]. Globally, the influenza-related hospitalisation rate in pregnant women is estimated to be 42.1% (interquartile range (IQR), 22.5–60.4%) and among them around 8% (IQR, 5.9–12.7%) have severe disease that results in intensive care admission or death [4]. Review of eight Indian studies have reported maternal mortality rate of 25–75% in pregnant women with influenza [5]. Influenza infection during pregnancy is also associated with poor birth outcomes viz. foetal loss (abortion or still birth), preterm birth and low birthweight [1, 5–7]. The Strategic Advisory Group from the World Health Organization (WHO-SAGE) universally recommends vaccination of pregnant women against influenza [8]. The licensed inactivated trivalent influenza vaccine (IIV3) is recommended for use in any trimester of pregnancy, to protect the mother as well as her newborn till 6 months of age. A systematic review from tropical and subtropical countries demonstrated that influenza vaccination in pregnant women can prevent laboratory-confirmed influenza in pregnant women (50%) as well as in their infants <6 months (49–63%) [9]. However, maternal influenza vaccination is not included in the immunisation programs of many low and middle-income countries (LMIC) and coverage of influenza vaccine remains low in pregnant women globally, especially in resource-constrained settings in LMICs [10–12].

Public health decision-making related to maternal influenza vaccination is challenging as health priorities vary across countries, and the comprehensive evidence on disease burden is lacking for LMICs [5]. Maternal influenza vaccine coverage is influenced by several stakeholder-linked factors which may be manufacturer-related, heath care provider (HCP)- related or pregnant women-related. Several barriers have been reported globally, to maternal influenza vaccination that include lack of awareness about influenza disease among major stakeholders (mothers, health care workers, doctors), vaccine hesitancy, technical challenges in provision of influenza vaccination services and socio-cultural issues [10, 13]. Lack of HCP-endorsement on influenza vaccination, hesitancy of the HCPs to vaccinate pregnant women [14], financial barriers, and lack of clear national recommendations are common obstacles to antenatal influenza vaccination reported in the global literature [15, 16]. Additionally, safety concerns for the foetus, lack of awareness regarding the severity and burden of influenza, and poor knowledge of the benefits of vaccination are identified factors for poor vaccine uptake in pregnancy in global literature reviews [17]. However, there is lack of systematic evidence on the uptake of maternal influenza vaccine among all stakeholders from LMICs.

Given that pregnant women are one of the critical target groups, there is a need to research the local and contextual factors for poor uptake of maternal influenza vaccine in LMICs. This systematic review was planned to synthesize evidence about barriers and facilitators for maternal influenza vaccination amongst HCPs and pregnant women in LMICs.

Methods

The review has been registered at PROSPERO registry for systematic reviews (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021243363).

Inclusion and exclusion criteria

Studies from LMICs assessing the uptake of maternal influenza vaccination or knowledge, attitude and perception regarding influenza vaccination in pregnant women or health care providers were included in the review. We included studies published until Dec 31, 2020 amongst women in the antenatal as well as postnatal period. Studies related to both pandemic and routine influenza vaccination were included. Both qualitative as well as quantitative, cross-sectional or interventional studies were included. Studies from high income countries, those assessing efficacy of maternal influenza vaccination or studies on uptake of influenza vaccination amongst population other than pregnant women were excluded from the review.

Literature search strategy

The search strategy was finalized based on a pilot exercise. During the pilot exercise, multiple search terms were identified for the population (pregnant women, health care providers), exposure (influenza, vaccination) and outcome (vaccine acceptance and its determinants). The final search strategy was developed through an iterative process and discussions with all authors. The search strategy utilised combinations of MeSH and non-MeSH terms. The detailed search strategy has been depicted in Table 1.

Table 1. Search criteria.

No	Search criteria
#1	((((((((Pregnant[Title/Abstract]) OR (Maternal[Title/Abstract])) OR (postnatal[Title/Abstract])) OR (pregnancy[Title/Abstract])) OR (lactating[Title/Abstract])) OR (expectant[Title/Abstract])) OR (mother[Title/Abstract])) OR (antenatal[Title/Abstract])) OR (pueperal[Title/Abstract])
#2	(((((((Healthcare[Title/Abstract] AND provider[Title/Abstract]) OR (doctor[Title/Abstract])) OR (physician[Title/Abstract])) OR (obstetrician[Title/Abstract])) OR (gynaecologist[Title/Abstract] OR gynecologist[Title/Abstract])) OR (nurse[Title/Abstract])) OR (practitioner[Title/Abstract])) OR (caregiver[Title/Abstract])
#3	(vaccin[Title/Abstract]) OR (immun[Title/Abstract])
#4	(((((((((((accept*[Title/Abstract]) OR (uptake[Title/Abstract])) OR (predictor[Title/Abstract])) OR (facilitator[Title/Abstract])) OR (determinant[Title/Abstract])) OR (barrier[Title/Abstract])) OR (factor[Title/Abstract])) OR (recommendation[Title/Abstract])) OR (knowledge[Title/Abstract])) OR (attitude[Title/Abstract])) OR (practice[Title/Abstract])) OR (willlingness[Title/Abstract])
#5	((influenza[MeSH Major Topic]) OR (flu[Title/Abstract])) OR (H1N1[Title/Abstract])
#6	#1 OR #2
#7	#6 AND #3 AND #4 AND #5

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The developed search strategy was used to search PubMed, CABI, EMBASE and Global Health databases. The search had no date range included and all studies in English language were included in the search. Studies from LMIC were identified based on the status of the country at the time of publication as per the World Bank definition [18]. The initial search was performed by one author (SR). The results were then filed together using Mendeley Referencing Software and duplicate articles were removed. The titles and abstracts of all the remaining studies were screened by two reviewers independently (SR and MS). Full texts of all the selected articles were independently screened by two authors using predefined inclusion criteria for the review (SR and GD). Any disagreements were settled through discussion with a third author (AA). Apart from the published literature, workshop reports or conference proceedings were searched through the given databases and Google as well as through reference lists of the published papers on this topic.

Data extraction and analysis

A data extraction template in excel was prepared to extract data from the selected full texts. The template was designed to capture following details of the studies: study type, year, setting, sample size, country, type of vaccine, determinants of vaccine uptake, barriers perceived by pregnant women and health care providers, limitations of the study. The data was extracted by one author (SR) and was verified by a second author (MS).

Quality assessment was done for all the included studies independently by two authors (SR and ND). Quality assessment for observational studies was assessed using New Castle Ottawa Scale [19, 20], while that for the qualitative studies was done using a quality assessment tool developed by Hawker et al [21].

The quantitative data on determinants of uptake of maternal influenza vaccine was summarised into tables using estimates on proportions and odds ratios for various factors. Combined frequency tables for perceived barriers were prepared to summarise data from qualitative and quantitative studies.

Results

A total 2434 records were identified from the four databases, of which 1669 title/abstracts were screened after removing 765 duplicate records. A total of 323 full texts were screened of which 11 records were included based on the predefined inclusion criteria. Fig 1 shows PRISMA flow chart for selection of studies with reasons for exclusion.

Overview of included studies

More than half of the studies (7 out of 11) were cross-sectional surveys, whereas the remaining four studies used qualitative or mixed methods approach. The studies were conducted between 2010 to 2017. There were four studies from Africa (Malawi [22], Ethiopia, Ghana, Uganda, Laos [23], Gambia [24], Ivory Coast [25]), four from the Americas (El Salvador, Peru [26, 27], Nicaragua [28, 29]), two from Eastern Mediterranean region (Pakistan [30], Morocco [31]) and one from South-East Asia (India) [32]. Ten studies included pregnant or recently pregnant women and three studies included HCPs as respondents for the study. The studies included were conducted either in urban and rural setting (3 studies) or in urban settings (8 studies). In three of included studies [26, 28, 29], influenza vaccine was available to the pregnant women and factors associated with actual vaccine uptake were assessed. In all the other studies, factors associated with willingness to receive maternal influenza vaccine was assessed through qualitative or quantitative methods. Detailed study characteristics are given in Table 2.

Table 2. Study characteristics.

Study (Author and year)	Country	Study duration of (month and year)	Study design	Study Setting	Type of study population and settings	Influenza Vaccination / acceptance rate (%)	Quality
Reinders et al 2019 [26]	Peru	July and August 2016	Cross sectional	Urban	Mothers of children <5 years (n = 624)	28% vaccinated	Low risk of bias^$
Reinders et al 2019 [26]	Peru	July and August 2016	Cross sectional	Urban	Pregnant women (n = 54)	19% vaccinated	Low risk of bias^$
Fleming et al 2019 [(22]	Malawi	2015	Mixed method	Urban + Rural	Pregnant or recently pregnant women (n = 274) and others^*	NA	Very high risk of bias^$
Arriola et al 2018 [29]	Nicaragua	June and August 2016	Cross sectional	Urban	Pregnant women (n = 1303)	42% vaccinated	Low risk of bias^$
Arriola et al 2018 [29]	Nicaragua	June and August 2016	Cross sectional	Urban	Health Care Providers (n = 600)	89% recommended vaccine	Low risk of bias^$
Top et al 2018 [23]	Ethiopia, Ghana, Uganda, and Laos	September October 2015	Qualitative	Urban	Health Care Providers (n = 141)	NA	Low quality ^#
Armitage et al 2018 [24]	Gambia	August and September 2017	Cross sectional	Urban	Non pregnant women (n = 454) Vaccinated 150 and control 304	98.5% willing to be vaccinated in pregnancy	Low risk of bias^$
Fleming et al 2018 [27]	El Salvador	2015–2016	Mixed method	Urban	Pregnant or recently pregnant women (n = 117) and others^*	NA	Low risk of bias^$
Arriola et al 2016 [28]	Nicaragua	October and December 2013	Cross Sectional	Urban	Pregnant women (n = 1807)	71% vaccinated	Very high risk of bias^$
Khan et al 2015 [30]	Pakistan	May to August 2013	Cross Sectional	Urban	Pregnant women (n = 274)	87% willing to be vaccinated	High risk of bias^$
Koul et al 2014 [32]	India	October 2012, and April 2013.	Cross Sectional	Urban + Rural	Pregnant women (n = 1000)	None received vaccine	Very high risk of bias^$
Koul et al 2014 [32]	India	October 2012, and April 2013.	Cross Sectional	Urban + Rural	Health Care Providers (n = 90)	None recommended vaccine	Very high risk of bias^$
Lohiniva et al 2014 [31]	Morocco	October 2010	Qualitative	Urban + Rural	Pregnant women (n = 123) Vaccinated 67 and Unvaccinated 56	NA	Moderate quality ^#
Kouassi et al 2012 [25]	Ivory coast	February 2010	Cross Sectional	Urban	Pregnant women (n = 411)	45% intended to be vaccinated	Low risk of bias^$

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$ Quality assessment of crosssectional and mixed method studies was done by Newcastle Ottawa Scale

# Quality assessment for qualitative studies done using Hawker et al method [43]

* family members, community leaders, public health program managers, non-governmental partners, and policy makers.

Quality assessment

Nine quantitative studies were assessed using New Castle Ottawa scale, of which, five had low risk-of-bias; four studies had high risk-of-bias due to lack of justification for sample size and use of non-validated study tool [22, 28, 30, 32]. Two qualitative studies included were assessed to have low [23] and moderate [31] quality using quality assessment tool developed by Hawker et al [Table 2]. The detailed quality assessment of included studies is provided in S1 and S2 Tables.

Vaccine acceptance or vaccine uptake

Outcomes in the studies included overall vaccine uptake as well as vaccine acceptance (patient agreement to vaccine assuming it was offered) [Table 3]. Studies from Peru [26] and Nicaragua [28, 29] reported influenza vaccination rate of 19–28% and 42–71% respectively amongst pregnant women. Amongst studies assessing willingness to receive maternal influenza vaccine acceptance rate of 45%, 87% and 98.5% was reported from Ivory coast [25], Pakistan [30], Gambia [24]. In the study conducted by Arriola et al in Nicaragua [29], influenza vaccine was recommended in pregnancy by 89% HCPs [Table 2].

Table 3. Factors associated with uptake and acceptance of maternal influenza vaccine amongst pregnant women and/or health care providers.

Factors	References	Proportion amongst vaccinated / unvaccinated women or women with or without intention to receive the vaccine	Odds ratio or risk ratios associated with significant likelihood of vaccination/acceptance of vaccination	Phenomenon addressed
Demographic and clinical factors
Women with high school or technical education	[26]	--	High school education—0.64 (95% CI 0.49–0.83) Technical education—0.58 (95% CI 0.43–0.79) Ref: Primary education or less	Vaccine uptake
Having more than three children	[30]	76% in women with three or more children vaccinated vs. 98% in women with one child; p = 0.02	0.08 (95% CI 0.01–0.63) Ref: Having one child	Vaccine acceptance
Vaccination in third trimester of pregnancy	[30]	85% women in third trimester vaccinated vs 95% among women in 1^st or 2^nd trimester; p = 0.03	0.3 (95% CI 0.1–0.87) Ref: Vaccination in 1^st or 2^nd trimester	Vaccine acceptance
Presence of high-risk obstetric condition	[29]	36% women with HROC vaccinated vs 45% women without HROC, p = 0.002	--	Vaccine uptake
Pre-existing medical condition	[26]	--	4.20 (95% CI: 2.03–8.70) Ref: No pre-existing medical condition	Vaccine uptake
Receipt of flu vaccine in previous pregnancy	[29]	32% vaccinated women vs. 14% unvaccinated women reported receipt of flu vaccine in previous pregnancy, p<0.001	---	Vaccine uptake
Four or more antenatal visits	[28]		2.58(95% CI 1.15, 5.81) Ref: One antenatal visit	Vaccine uptake
Knowledge about disease, perceived risk of illness and protection offered by the vaccine in pregnant women
Knowledge about influenza disease	[29]	98% vaccinated vs. 75% unvaccinated women knew about flu, p<0.001	---	Vaccine uptake
	[30]	94.1% women with and 45.7% without the intention to get vaccinated knew about flu, p<0.0001	24.28(95% CI 9.88–59.68) Ref: No knowledge of the disease	Vaccine acceptance
Perceived risk of influenza disease during pregnancy	[29]	88% vaccinated vs.68% not vaccinated perceived the risk, p<0.001		Vaccine uptake
	[30]	45.8% with and 25.7% without intention to get vaccinated perceived the risk, p = 0.03	2.38 (95%CI 1.07–5.32) Ref: No perceived risk of influenza	Vaccine acceptance
Perceived risk of influenza to infants	[30]	76.6% with and 50% without intention to get vaccinated perceived the risk, p = 0.0004	3.80(95% CI 1.81–7.98) Ref: No perceived risk of influenza	Vaccine acceptance
Need for influenza vaccination during pregnancy	[30]	93%vs7%,p<0.0001	-----------	Vaccine acceptance
Perceived safety of influenza vaccine for the mother	[29]	95% vaccinated vs.77% unvaccinated women perceived the safety, p<0.001		Vaccine uptake
	[30]	77.4% with and 28.5% without intention to receive the vaccine perceived the safety<0.0001	10.09(95%CI 10.09 4.50–22.63) Ref: Vaccine not perceived safe	Vaccine acceptance
Perceived effectiveness of influenza vaccine for the mother	[29]	95% vaccinated vs.77% unvaccinated women perceived the benefit, p<0.001		Vaccine uptake
	[30]	80.7% with and 37.1% without the intention to receive vaccinated perceived the benefit, p<0.0001	8.43 (95%CI 3.88–18.31) Ref: Vaccine not perceived efficacious	Vaccine acceptance
Perceived protection for influenza for infant	[30]	85.8% with and 40% without the intention to receive vaccinated perceived the benefit, p<0.0001	9.45 (95% CI 4.33–20.62) Ref: No perceived protection	Vaccine acceptance
Health provider related factors
Recommendation from physicians for flu vaccine	[29]	81% vaccinated vs.5% unvaccinated women had received a recommendation, p<0.001	74.11 (95% CI 36.63–149.94)	Vaccine uptake
	[30]	82% with and 24% without the intention to receive vaccine had received a recommendation, p<0.01	2.47 (95% CI 1.16–5.28)	Vaccine acceptance
	[28]		14.22 (95% CI 10.45–19.33) Ref: No recommendation from HCP for flu vaccine	Vaccine uptake
Recommendation from HCP for any vaccine during pregnancy	[30]	75.7% with and 60% without intention to receive the vaccine has received a recommendation, p = 0.02	2.55(95% CI1.18–5.48) Ref: No recommendation for HCP	Vaccine acceptance
Received offer for influenza vaccination from health care provider	[29]	95% of the women who received offer vaccinated vs. 5% who did not receive, p<0.01	15.69(95%CI 7.45–33.03) Ref: Vaccination not offered.	Vaccine uptake
Belief that physicians are reliable source of vaccine information	[30]	--	7.55(95%CI 2.06–27.67) Ref: Physicians are not a reliable source of information	Vaccine acceptance
Health system related factors
Vaccination in private clinic set up	[25]	--	0.19(95%CI 0.05–0.76) Ref: Vaccination in public health set up	Vaccine acceptance

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HROC- High risk obstetric condition; vaccine uptake means actual receipt of vaccine, vaccine acceptance means willingness or intent to get vaccinated

Demographic and clinical factors associated with uptake of influenza vaccination by pregnant women [Table 3]

Women with higher education were 36–42% less likely to accept influenza vaccination during pregnancy as compared to women with primary or less than primary education [26]. Women having three or more children were less likely to take the vaccine as compared to women with one child (76% vs. 98%, OR = 0.08) [30]. Women were more willing to receive influenza vaccine in first or second trimester against third trimester (95% vs. 85%, OR = 0.03) [30]. Also, those who received influenza vaccine in the previous pregnancy were more likely to receive it in the present pregnancy [29]. Women with high-risk obstetric condition were less likely to be vaccinated against influenza (36% vs. 45% [29], whereas those with existing medical conditions were 4 times more likely to be vaccinated (26). Demographic factors such as age, socioeconomic status, marital status or employment status were not found to influence decision making regarding vaccine uptake.

Non-availability of time and need for permission from husbands or one of the family members was perceived as a barrier to receive influenza vaccination in a few studies [Table 4].

Table 4. Barriers to maternal influenza vaccination as perceived by pregnant women and health care providers^*.

Barriers to influenza vaccination perceived by pregnant women	*Reinders et al 2019* [26]	*Fleming et al 2019* [22]	*Arriola et al 2018* [29]	*Top et al 2018* [23]	*Armitage et al 2018* [24]	*Fleming et al 2018* [27]	*Arriola et al 2016* [28]	*Khan et al 2015* [43]	*Koul et al 2014* [32]	*Lohiniva et al 2014* [31]	*Kouassi et al 2012* [25]
Safety concern to self	✔(52%)	✔	✔(1%)			✔(14%)		✔(17%)		✔	✔(10%)
Safety concerns to unborn child					✔(50%)			✔(15%)
Distrust for vaccine	✔(11%)						✔	✔(11%)		✔	✔(12.5%)
Non availability of time	✔(14%)		✔(0.2%			✔(3.5%)
Unaware of vaccine & / or its necessity	✔(55%)		✔(41%)				✔(44%)				✔(45%)
Need for permission from husband / household member						✔(27.6%)		✔(30%)
Belief that vaccine not needed			✔(3%)
Vaccine not been offered by HCP			✔(56%)			✔(3.5%)	✔ (10%)		✔ (100%)
Non-availability	✔(5%)	✔	✔(3.7%)				✔(2%)			✔
Non-accessibility						✔
Negative or no counselling by HCPs		✔	✔(0.9%)
Negative publicity by media	✔(9%)					✔
Combining antenatal services with vaccine		✔
Lack of respect/Poor treatment by HCP		✔
Unknown reason	✔(2%)		✔(34%)
Barriers to influenza vaccination as perceived by health care providers	*Reinders et al 2019*	*Fleming et al 2019*	*Arriola et al 2018*	*Top et al 2018*	*Armitage et al 2018*	*Fleming et al 2018*	*Arriola et al 2016*	*Khan et al 2015*	*Koul et al 2014*	*Lohiniva et al 2014*	*Kouassi et al 2012*
Not in government / public health policy				✔
Safety concerns about the vaccine			✔(2%)	✔					✔
Distrust about vaccine / manufacturer				✔					✔
Short Shelf life of influenza vaccine		✔
Lack of health information system to track vaccination coverage		✔
Lack of social harmony (internal conflict/gang activity)						✔

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*The table includes results from both qualitative and quantitative studies. Proportions in % are provided from quantitative studies wherever available indicating the percentage of the study participants who reported the barriers related to influenza vaccination; HCP- Health care providers.

Factors related to knowledge of disease and vaccine-related factors

Five studies used health belief constructs to assess the predictors of vaccine acceptance. Knowledge about influenza disease amongst pregnant women was associated with increased likelihood of receiving the vaccine during pregnancy [OR = 24.28]. Perceived risk of influenza disease during pregnancy and to the newborn were associated with increased acceptance for influenza vaccination during pregnancy [OR = 2.38 and 3.8 respectively] [29, 30]. Further, perceived need for influenza vaccination during pregnancy was associated increased acceptance for the vaccine [93% vs. 7%]. Women who perceived the vaccine to be safe and effective were 8–10 times more likely to receive vaccine as compared to those who did not perceive the benefit [29, 30] [Table 3].

Concern about safety of the vaccine to self was identified as a barrier in seven studies and was reported by up to 52% women [25, 26, 29, 30, 31]. Safety concern to the unborn child was identified as a barrier by 15% women in a study conducted by Khan et al [30]. Distrust about the vaccine was identified as a barrier in five studies [25, 26, 29, 30, 31] or a perception that the vaccine is not needed was identified as a barrier for vaccination in one study [26]. Lack of awareness about maternal influenza vaccination was perceived a barrier in four studies [25, 28, 29] and by up to 55% respondents [Table 4].

Factors related to healthcare providers and health system

The odds of receiving influenza vaccine were reported 2.5 to 74 times higher in pregnant women who received a recommendation from an HCP as compared to those who did not receive any recommendation [28–30]. In fact, recommendation for any vaccine during pregnancy was associated with 2.5 times increased acceptance of influenza vaccine during pregnancy [30]. Further, women who were offered influenza vaccine by their HCPs were even more likely to receive the vaccine as compared to those who merely received a recommendation (95%vs.81%, p<0.01) [29]. Women who trusted their care-providers during pregnancy were seven times more likely to receive influenza vaccine [30]. Women who received antenatal care in private set up were less likely to receive influenza vaccine during pregnancy as compared to public health set up [OR = 0.19] [25]. Women with four or more antenatal visits were twice likely get vaccinated for influenza than those with less than four antenatal visits [28] [Table 3].

On the other hand, four studies reported that women did not receive influenza vaccination because it was not offered to them by their HCPs [27–29, 32]. Negative counselling by HCPs was identified as a barrier for maternal influenza vaccination in two studies [22, 29]. Lack of respect by the HCP towards confidentiality of study participants or poor treatment by HCP were identified as barriers in one of the studies [22].

Similar to pregnant women, concerns over safety of influenza vaccine during pregnancy or distrust about the vaccine manufacturer were barriers identified amongst HCPs in three studies [23, 29, 32]. In addition, short shelf life of the product and lack of essential safety information and ambiguous nature of product monograms [22] was reported as a barrier in the Malawi study. Lack of availability of influenza vaccine in government policy was reported as an important barrier amongst HCPs [23]. Presence of health information system was perceived necessary in Malawi study to keep track of vaccination coverage when pregnant women visit multiple health centres for antenatal check-ups and absence of such system was perceived as an operational challenge [22]. Presence of criminal gang activity was found to a barrier in El Salvador study as pregnant women had limited access to health services in these insecure areas and needed permissions from the gang leaders to attend clinics [27] [Table 4].

Influence of family, community and media

Apart from health care providers, community health workers and friends /neighbours were identified as important sources of information regarding influenza vaccination by 46% and 34% women respectively [31].

Husbands, family members, friends especially non-medical ones, neighbours and relatives were found to influence the decision-making process with husband being the most influential person among them. Recommendation by governmental bodies was considered as one of the reliable sources of vaccine information by 33% of study participants and was significantly associated with increased acceptance of influenza vaccine [OR = 3.52] [30]. Discussions with neighbours and friends in some women led to reduced acceptance of vaccination. These discussions were often based on instances about complications and side effects affecting those who had been vaccinated. None-the-less, they were considered trusted advisors [31].

Among the media sources, television (69–72%), radio (32–44%) and text messages received on mobile phone (75–83%) were found to be positive influencers for influenza vaccination during pregnancy [25, 26, 31].

Discussion

This systematic review addresses key determinants which facilitate pregnant women to consider influenza vaccination in LMIC settings, and the potential barriers to influenza vaccination uptake both from the perspective of pregnant women as well as healthcare providers. The review has included studies from South Asia, Africa, America and Eastern Mediterranean regions and thus presents findings from diverse geographical and sociocultural contexts. We found that in the different studies, influenza vaccination rate among pregnant women varied between 19 to 71% which is comparable to coverage rates amongst pregnant women some high-income countries [33]. However, the coverage for influenza vaccination was lower during pregnancy than other populations (e.g., children and elderly) in Peru and Nicaragua [34]. These findings are similar to other global data indicating low uptake of influenza vaccine during pregnancy [34]. The vaccine uptake ranged between 45 to 99%, highest in Gambia [24] and lowest in Ivory Cost [25] region.

Several constructs of health belief model were found to influence the decision-making regarding influenza vaccination during pregnancy [35]. Knowledge about influenza disease, perception of the disease severity during pregnancy and risk to the foetus/newborn and perceived benefits of influenza vaccination during pregnancy were associated with increased acceptance of influenza vaccination during pregnancy. Cues to action, especially, recommendation by health care provider or government authorities and history of vaccination in previous pregnancy were strong influencers of vaccine uptake. On the other hand, lack of perception of disease severity or need for vaccination, safety concerns about the vaccine for self or to the unborn child, distrust for vaccine were the perceived barriers. Higher education without specific knowledge on the disease, lack of clear health information, non-availability of vaccines and negative publicity by media were some other barriers reported for maternal influenza vaccination. Our findings are similar to those reported recently by Yuen et al in their global systematic review on determinants of influenza vaccine uptake during pregnancy [36]. Improved health literacy was a found to be a facilitator, which has been reported earlier from high income settings [36]. Overall, these findings indicate that improved public health education about risk of influenza during pregnancy and importance of maternal influenza vaccination can potentially increase the uptake of vaccines in LMIC settings. Buchy et al in their expert commentary have also highlighted the problem of low uptake of maternal influenza vaccine globally due to ineffective communication with the pregnant women about the risks and benefits of influenza vaccination during pregnancy [33].

High parity i.e., having three or more children was reported to be a barrier for maternal vaccination. Earlier literature also reports that primipara women are more willing for influenza vaccination [17, 37]. Offering influenza vaccines early by first or second trimester of pregnancy, higher (≥4) antenatal visits, absence of high-risk obstetric conditions were associated with higher influenza vaccination rate in pregnant women. Pregnant women who engage with the health system early, tend to have better opportunity to discuss with their care-providers about influenza vaccination or get counselled by the HCPs regarding vaccination, resulting in higher uptake. A higher acceptance for vaccination was noted when vaccines were offered in public health facility, compared to private facilities. This could be due to the subsidized rates at which the vaccine is offered in public health system as compared to private facilities, given that the study population is from resource-constrained LMIC settings. Also, availability in public health system gives more credibility due to the underlying government support, thus increasing the overall acceptance by general public as well as health care providers. Thus, ensuring adequate access to antenatal care and inclusion of maternal influenza vaccine in the government policy can be key facilitators for success in maternal influenza vaccination.

Recommendation by the HCPs has been identified as a key determinant for maternal influenza vaccine uptake in previous global literature [22]. Wong et al in their global systematic review on interventions to increase uptake of influenza vaccination in pregnancy have recommended that clinicians should educate the pregnant women about benefits of influenza vaccination in pregnant women and newborns [38]. Morales et al in their recent review on determinants of influenza vaccination in pregnancy have identified recommendation by HCPs for influenza vaccination during pregnancy and their perception of safety and efficacy of influenza vaccine in pregnancy as important determinants [17]. The current review reemphasizes the importance of health care providers as a stakeholder in maternal influenza vaccination in the context of developing world where recommendation by HCPs about influenza vaccination and trust in HCPs were major facilitators. On the other hand, negative counselling by HCPs was reported as a barrier. The potential barriers identified by HCP for vaccination include distrust about influenza vaccine manufacturer, inadequacy of safety information from the manufacturer and lack of recommendation for influenza vaccination governed by the national policy. Uncertainty and fear about the safety and benefits of maternal vaccination amongst the HCPs despite recommendation by health authorities [29] and ineffective communication by the HCPs about risk and benefits of maternal vaccination are known concerns [33]. Thus, improving knowledge of HCP about the safety and effectiveness of maternal influenza vaccination, addressing their concerns along with recommendation by health policy makers on maternal influenza vaccination can increase the vaccine confidence of HCPs in LMICs.

Overall, our review points towards need for increased preparedness about maternal influenza vaccination amongst pregnant women and their families as well as their care providers amongst LMICs in addition to making the vaccine available in health program. The evidence from Peru study [26] suggests that the vaccine uptake may remain low despite subsidized vaccine program. This highlights the importance of including awareness campaigns for general public and health care providers in order to improve vaccine coverage. This can be achieved through national level public health campaigning about the risk of influenza during pregnancy and benefits of maternal vaccination amongst general public and stakeholders in health system. An example from a middle-income country like Argentina has shown that provision of maternal influenza vaccine free-of-cost through health program can lead to about 95% coverage of maternal vaccination [39]. Considering the success of maternal tetanus vaccination in LMICs, the acceptance of maternal influenza vaccination can be enhanced manifold with the presence of health policy recommendation and availability of influenza vaccine through public health program. Even though WHO has recommended upscaling influenza vaccination in its member states [40], having policy recommendations made at country level as well as recommendation by national advisory bodies in obstetrics is important for convincing HCPs to advocate influenza vaccine to pregnant women. Further, there is lack of research focusing on the policy makers at LMIC settings and disease burden of influenza in pregnancy and active surveillance studies for maternal influenza vaccination in LMIC which will help in establishing maternal influenza vaccination as a priority in public health [41, 42].

This is the first review to our knowledge that throws light on determinants of maternal influenza vaccination in LMIC settings. Important strengths of this review include use of comprehensive search terminology and having carried out article search in four databases. However, this review is not without limitations. Having a limited number of articles, of about 11, being included in our review is a serious limitation for generalizing our findings to pregnant women in whole of LMIC settings. Further, most of our evidence is from surveys conducted among pregnant mothers sampled at selected health facilities of the study area, which again questions the representation of these findings to the concerned study population. Except Nicaragua [28] [29] and Peru [26], none of the countries had maternal influenza vaccination included in the health program. Hence, there was limited information available about the logistic or operational factors related to availability of influenza vaccine for pregnant women in these countries, which can play very important role in the success of implementation. Further, four out of 11 studies had high or very high risk of bias which reduces the confidence in the results from these studies. Although this review included evidence of high-quality studies as well, all these studies were observational in nature, with none being conducted in randomized controlled trial settings.

We have excluded full text articles from high income countries and focused on the studies from LMIC only. This is because the problems faced by LMIC are likely to be different from higher income countries due to differences in the socioeconomic status, literacy and health care access for pregnant women. However, we have discussed the findings from these studies at relevant places in the introduction and discussion. Despite the limitations, the review points towards the important fact that research on influenza vaccination in pregnant women has been a low priority in LMIC setting and highlights the need for more population-based studies to enable policymakers understand the critical determinants of influenza vaccination in their settings.

Conclusion

Higher educational status, better access to antenatal care, perceived risk of influenza during pregnancy, perceived benefits of influenza vaccination during pregnancy, recommendation by health care providers and inclusion of maternal influenza vaccine in health policy were important facilitators for maternal influenza vaccine uptake in LMIC. Fear of adverse effects, uncertainty about the benefits of vaccination and ineffective health communication regarding the influenza vaccine were barriers identified.

Thus, while availability of influenza vaccine in public health system can be a key to the success of vaccine implementation program, increasing the public health awareness about need and benefits of maternal influenza vaccination amongst pregnant women as well as their health care providers is crucial to improve the acceptance of maternal influenza vaccination in low and middle-income countries.

Supporting information

S1 Table. Quality assessment of studies using New Castle Ottawa scale.

(DOCX)

Click here for additional data file.^{(16.8KB, docx)}

S2 Table. Quality assessment of qualitative studies using tool developed by Hawker et al.

(DOCX)

Click here for additional data file.^{(15.4KB, docx)}

Acknowledgments

The Young Investigators and Young Scientists acknowledge the core support provided by the Bill and Melinda Gates Foundation (Grant ID OPP1110191). We thank the technical advisory group of the Platform for Research Excellence Related to National Aims (PRERNA) and faculties at Centre for Health Research and Development, Society for Applied Studies, Delhi; KEM Hospital Research Centre, Pune and Christian Medical College, Vellore for their support and guidance.

Data Availability

The Supporting information files are available at figshare (doi:10.6084/m9.figshare.16757044).

Funding Statement

The author(s) received no specific funding for this work.

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PLoS One. doi: 10.1371/journal.pone.0262871.r001

Decision Letter 0

Emily A Hurley

10 Sep 2021

PONE-D-21-08838Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic reviewPLOS ONE

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Additional Editor Comments (if provided):

Thank you for this important work. I do apologize for the long wait on this review. As I communicated previously, I tried dozens of reviewers who did not respond to my request. I also did not feel like the one review secured was sufficient, so upon returning from my maternity leave, I wanted to ensure to give a careful review myself. Please attend to my comments as well as those from the reviewer.

Main comment:

Throughout the document, please pay attention and clarify to whenever “accept” and “acceptance” are used versus “uptake”. In many places (as I point out) it seems as if the authors equate acceptance to uptake, which eclipses the fact that low uptake may be influenced by access issues and systemic factors (that are independent of acceptance). A woman cannot accept a vaccine she is never offered, and it is unclear throughout the review if the factors and rates identified are within the context of women being offered the vaccine or in real-world situations where the vaccine may not be available. Some additional commentary about this issue (whether the main problem is acceptance or availability) would strengthen the discussion.

I also suggest making it more clear in Table 3 whether each factor identified relates to the outcome of acceptance, uptake or intention. These are all quite different and indicating the precise outcome would help the reader better interpret the ORs and RR reported in the right-hand column. This could be done by a symbol or an additional column.

Abstract:

- Please clarify what you mean by “barriers amongst health care providers” in the abstract. As it is written now, it is unclear if these are “barriers that inhibit healthcare providers from offering the vaccine to pregnant women”, or simply “barriers to vaccination as perceived by healthcare providers”.

- Your concluding statement identifies steps to improve “acceptance” of maternal influenza vaccine, suggesting that identifying barriers and facilitators to “acceptance” was the main goal of the study. However, this in not specified in the aim as written in the background. Barriers and facilitators can be multilevel, and include systemic barriers (supply, availability) that have nothing to do with acceptance. Please clarify in your aims and conclusion statement if your review was aimed at identifying barriers and facilitators specifically to acceptance or more broadly, to uptake.

Background

- Second sentence: Please clarify what population this hospitalization rate applies to (e.g. India?, low-and-middle income countries? Global?)

- Second paragraph: Beginning with the second sentence, please specify that the literature reviewed pertains to research globally (including high income countries) so that the reader does not misinterpret that this research is specific to LMICs

- Second paragraph, Last sentence: acceptability among who? Women? HCPs? Stakeholders? Also, why is it important to examine acceptability specifically versus other barriers? (see comment in abstract)

Methods

- “till” is not a full word. Please replace with “until” or “up until”

- Please capitalize “World Bank”

Results

- There are a few articles that are classified as having very high risk of bias. How did this work into your overall interpretation of results?

- Please capitalize Coast” (as in “Ivory Coast”)

- A more appropriate subheading would be “Vaccination rate” instead of “vaccination acceptance”. The term “acceptance” implies that all women were offered the vaccine and only some “accepted” and this might not be the case. If you do mean acceptance, a sentence is warranted about the background of the study explaining why this outcome is possible to measured (e.g. ensuring that all women in the denominator indeed had access to the vaccine).

- Similarly, “Women with higher education were 36-42% less likely to receive or accept influenza…” In this sentence, which do you mean, receive, or accept? They have quite different meanings.

- Similarly, I would not use the word “willing” as in “Women were more willing to receive” if non-availability is really a factor. Women could have been willing but unable to receive it because of non-availability. Using the word “willing” places all responsibility/blame on the woman when lack of uptake of the vaccine could be due to non-availability, independent of her willingness to receive it.

- In the first sentence of “Factors related to healthcare providers and health system” please specify, the odds of receiving the vaccine was higher when recommended by a HCP compared to what? When an HCP recommends against the vaccine? When someone other than the HCP recommends the vaccine? When an HCP offers no opinion on the vaccine? What was the comparison group here?

- Do you really mean “Lack of respect toward the HCP” or “Lack of respect by the HCP (toward the patient)?” Please clarify

Discussion

- Again, ensure and clarify that whenever the word “acceptance” is used, it means a vaccine was available to all women and they had the opportunity to accept

- I advise caution extrapolating the lower rate of vaccination in pregnancy vs. other population in reference 36 to vaccine hesitancy without sufficient supporting evidence. There may be other systemic factors that explain this lower rate.

- Does the evidence point to acceptance or access as the biggest barrier to vaccination during pregnancy in LMIC? Can you make a determination or comment on what the literature suggests, or point out the need for research to address this gap?

- “lack of research focusing policy makers” � I believe “on” is missing

- I am surprised that “improving health literacy” is the first point that you bring forth in your conclusion. I don’t believe that the review as a whole point to health literacy as the main issue. Please be more comprehensive in your conclusion to point out the myriad of multilevel factors that must be addressed to improve uptake (as well as acceptance).

- Thank you for pointing out the lack of research on this issue. I do hope your article inspires more research on this important topic.

Table 3

- Unless the number of antenatal visits reflects official recommendation/policy, I would put this factor under demographic/ clinical factors (not health systems)

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Reviewer #1: Yes

**********

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Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: This is a nicely written review on an important subject Determinants of maternal influenza vaccination in LMIC setting. This is an underexplored area, so this review is an important contribution. This review can be improved by including the reasons by rejecting large number of publications (including 19 reviews). Has this huge rejection introduced any bias, needs to be explained. If there is any way of analyzing these rejected 19 reviews and summarize findings from these reviews in a paragraph or table, it might be a way of minimizing impact of rejecting valid reviews.

I would recommend the authors to amend the manuscript accordingly so it becomes an important contribution from LMICs to global health.

**********

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PLoS One. 2022 Jan 26;17(1):e0262871. doi: 10.1371/journal.pone.0262871.r002

Author response to Decision Letter 0

7 Oct 2021

Thank you very much for this constructive feedback. We have now used appropriate terminologies (acceptance or uptake) in the revised text. The table 3 is also revised accordingly.

Abstract:

These are the barriers that inhibit the health care providers from offering the vaccine to pregnant women. This has been clarified in the abstract now.

Thank you for this comment. As you have pointed out, we aim to review the uptake of maternal influenza vaccine broadly which includes acceptance wherever applicable. We have clarified this point in the revised aims and conclusions.

Background

- Second sentence: Please clarify what population this hospitalization rate applies to (e.g. India?, low-and-middle income countries? Global?)

These are global hospitalisation rates for influenza related hospitalisation. We have revised the sentence as follows:

“Globally, the influenza-related hospitalisation rate in pregnant women is estimated to be 42.1% (interquartile range (IQR), 22.5-60.4%) and among them around 8% (IQR, 5.9-12.7%) have severe disease that results in intensive care admission or death(4).”

The text pertains to global literature on maternal influenza. We have specified this in the revised text now.

- Second paragraph, Last sentence: acceptability among who? Women? HCPs? Stakeholders? Also, why is it important to examine acceptability specifically versus other barriers? (see comment in abstract)

We have revised this sentence as follows:

“This systematic review was planned to synthesize evidence about barriers and facilitators for maternal influenza vaccination amongst HCPs and pregnant women in LMICs.”

Methods

- “till” is not a full word. Please replace with “until” or “up until”

We have revised the sentence as follows:

“We included studies published until Dec 31, 2020 amongst women in the antenatal as well as postnatal period.”

- Please capitalize “World Bank”

The text has been revised accordingly.

Results

- There are a few articles that are classified as having very high risk of bias. How did this work into your overall interpretation of results?

Thank you. We have addressed this in the revised text in discussion:

“Four out of 11 studies had high or very high risk of bias. This is one of the serious limitations of this review which reduces the confidence in the results from these studies.”

- Please capitalize Coast” (as in “Ivory Coast”)

The text has been revised accordingly.

We would like to clarify that ref 25, 27 and 28 report vaccination rate or uptake and ref 23, 24, 29 report willingness to get vaccinated if the vaccine is made available. To include both these scenarios, we have changed the heading to “Vaccine acceptance or vaccine uptake” in the revised text.

- Similarly, “Women with higher education were 36-42% less likely to receive or accept influenza…” In this sentence, which do you mean, receive, or accept? They have quite different meanings.

The verb accept would be more appropriate in this case, as the influenza vaccination was provided under government program in Peru and was available to all free of cost. We have made the required change.

The term willingness has been used for three studies reported from Pakistan (not in immunisation program but recommended to pregnant women), Ivory coast (vaccine not free but responses of the participants were recorded for their intent to get vaccinated) and Gambia (vaccine was under clinical trial mode and participants were asked about their willingness / intent for use in pregnancy if made available). As these studies have investigated the willingness or intent to get vaccinated, the word ‘willingness’ is appropriate here.

The comparison group here was women who did not receive any recommendation from their health care providers. We have modified the sentence as follows:

“The odds of receiving influenza vaccine were reported 2.5 to 74 times higher in pregnant women who received a recommendation from an HCP as compared to those who did not receive any recommendation (30)(27)(26).”

- Do you really mean “Lack of respect toward the HCP” or “Lack of respect by the HCP (toward the patient)?” Please clarify.

Thank you for this comment. We have clarified the term as “lack of respect by HCPs towards confidentiality of the participants” in the revised text.

Discussion

- Again, ensure and clarify that whenever the word “acceptance” is used, it means a vaccine was available to all women and they had the opportunity to accept.

Thank you. We have now used the word acceptance in the discussion only where it is appropriate.

We have revised the text as follows:

“However, the coverage for influenza vaccination was lower during pregnancy than other populations (e.g. children and elderly) in Peru and Nicaragua(36). These findings are similar to other global data indicating low uptake of influenza vaccine uptake during pregnancy(37)”

Our evidence from Peru study points out that acceptance may play equally important role. To address this, we have added the following sentence in the discussion:

“However, as pointed out in the Peru study (25), the vaccine uptake may remain low despite subsidized vaccine program. This highlights the importance of including awareness campaigns for general public and health care providers in order to improve vaccine coverage.”

However, we have a limitation that only three of the included studies had vaccination included in the health programs and the other studies only assessed willingness to get vaccination in the absence of actual program. Hence, we have added following line as a limitation in the discussion:

“Except Nicaragua (27) (28) and Peru (25), none of the countries had maternal influenza vaccination included in the health program. Hence, there was limited information available about the logistic or operational factors related to availability of influenza vaccine for pregnant women in these countries, which can play very important role in the success of implementation.

“lack of research focusing on the policy makers” � I believe “on” is missing

Thank you for pointing out this typographical error. We have corrected the mistake in the revised text.

I am surprised that “improving health literacy” is the first point that you bring forth in your conclusion. I don’t believe that the review as a whole point to health literacy as the main issue. Please be more comprehensive in your conclusion to point out the myriad of multilevel factors that must be addressed to improve uptake (as well as acceptance).

Thank you for your feedback. The conclusion is modified accordingly. The revised conclusion is as follows:

“Higher educational status, better access to antenatal care, perceived risk of influenza during pregnancy, perceived benefits of influenza vaccination during pregnancy, recommendation by health care providers and inclusion of maternal influenza vaccine in health policy were important facilitators for maternal influenza vaccine uptake in LMIC. Fear of adverse effects, uncertainty about the benefits of vaccination and ineffective health communication regarding the influenza vaccine were barriers identified.

Thank you for pointing out the lack of research on this issue. I do hope your article inspires more research on this important topic.

Thank you for your feedback. We do hope the same.

Table 3

- Unless the number of antenatal visits reflects official recommendation/policy, I would put this factor under demographic/ clinical factors (not health systems).

The minimum number of antenatal visits at both public and private health care setup for a healthy pregnancy is decided by a health program in the country. Hence, we argue that number of antenatal visits should be part of health system.

Attachment

Submitted filename: Response to reviewers_Mat flu SR_05102021.docx

Click here for additional data file.^{(43.7KB, docx)}

PLoS One. doi: 10.1371/journal.pone.0262871.r003

Decision Letter 1

Emily A Hurley

3 Nov 2021

PONE-D-21-08838R1Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic reviewPLOS ONE

Dear Dr. Apte,

Thank you for the careful response to the comments from myself and the reviewer. The reviewer has recommended the manuscript be accepted, and I agree with this recommendation. The manuscript is very much improved and will make a good contribution to PLOS ONE. However, before the manuscript is accepted and sent for proofing, I wanted to give you the opportunity to address a few small items from Reviewer 1 as well as the following suggestions from me regarding Table 3.

==============================

Please submit your revised manuscript by Dec 18 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

Emily A Hurley, M.P.H., Ph.D.

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments (if provided):

- The addition of the final column in Table 3 is helpful in understanding the outcome of each study. In the "Vaccine acceptance and vaccine uptake" section of the manuscript, before you introduce Table 3, it might be helpful to orient the reader to this column these terms by defining them. For example, you might say "Outcomes in the studies included overall vaccine uptake as well as vaccine acceptance (patient agreement to vaccine assuming it was offered) (Table 3)."

- "uptake" might also be added to the title of table 3 ".. uptake and acceptance of..."

- Please clarify what you mean by "clubbing". Do you mean "combining"?

- I agree that variable of number of antenatal visits, if it purely reflects a policy, should remain under health systems factors. Would be appropriate to label this variable "Recommended number of antenatal visits" so that the reader knows this reflects the ideal number as set by national recommendations? If not, it might still fit better under "clinical factors". Similar to the variable "vaccination in third trimester", number of antenatal visits is determined by both the individual and the health system (as even if 4 visits are recommended, many women will not complete that amount).

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #1: Yes

**********

6. Review Comments to the Author

Reviewer #1: The revised manuscript has addressed most of the issues raised by reviewers.

The suggestion "This review can be improved by including the reasons by rejecting large number of publications (including 19 reviews). Has this huge rejection introduced any bias, needs to be explained. If there is any way of analyzing these rejected 19 reviews and summarize findings from these reviews in a paragraph or table, it might be a way of minimizing impact of rejecting valid reviews" has not been addressed adequately though.

The reference numbers 32 and 34 are repeat, need to check and revise the numbers.

The modified manuscript can be accepted as it's a valuable contribution from LMICs to the field.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

PLoS One. 2022 Jan 26;17(1):e0262871. doi: 10.1371/journal.pone.0262871.r004

Author response to Decision Letter 1

24 Nov 2021

Additional Editor Comments (if provided):

Thank you for this valuable input. We have added this sentence under vaccine acceptance and vaccine uptake.

- "uptake" might also be added to the title of table 3 ".. uptake and acceptance of..."

Thank you. We have made the required changes.

- Please clarify what you mean by "clubbing". Do you mean "combining"?

We clarified this by replacing the term clubbing with combining.

Agree with this. We have added antenatal visits under clinical factors.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #1: All comments have been addressed

________________________________________

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

________________________________________

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

________________________________________

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #1: Yes

________________________________________

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #1: Yes

________________________________________

6. Review Comments to the Author

Reviewer #1: The revised manuscript has addressed most of the issues raised by reviewers.

We have added the following text at the end of the discussion:

“We have excluded full text articles from high income countries and focused on the studies from LMIC only. This is because the problems faced by LMIC are likely to be different from higher income countries due to differences in the socioeconomic status, literacy and health care access for pregnant women. However, we have discussed the findings from these studies at relevant places in the introduction and discussion.”

We have now included all the relevant reviews (listed below) from our excluded list of articles in the background discussion.

1. Hirve S, Lambach P, Paget J, Vandemaele K, Fitzner J, Zhang W. Seasonal influenza vaccine policy, use and effectiveness in the tropics and subtropics - a systematic literature review. Influenza and other respiratory viruses. 2016 Jul;10(4):254–67

2. Regan A, Haberg S, Fell DB. Current Perspectives on Maternal Influenza Immunization. Current Tropical Medicine Reports. 2019;6(4):239–49.

3. Lutz CS, Carr W, Cohn A, Rodriguez L. Understanding barriers and predictors of maternal immunization: Identifying gaps through an exploratory literature review. Vaccine. 2018 Nov;36(49):7445–55.

4. Morales KF, Menning L, Lambach P. The faces of influenza vaccine recommendation: A Literature review of the determinants and barriers to health providers’ recommendation of influenza vaccine in pregnancy. Vaccine. 2020 Jun;38(31):4805–15.

5. Buchy P, Badur S, Kassianos G, Preiss S, Tam JS, P. B, et al. Vaccinating pregnant women against influenza needs to be a priority for all countries: An expert commentary. International Journal of Infectious Diseases 2020 Mar;92:1–12.

6. Yuen CYS, Tarrant M. Determinants of uptake of influenza vaccination among pregnant women - a systematic review. Vaccine. 2014 Aug;32(36):4602–13.

7. Yuen CYS, Tarrant M. A comprehensive review of influenza and influenza vaccination during pregnancy. The Journal of perinatal & neonatal nursing. 2014;28(4):261–70.

8. Wong VWY, Lok KYW, Tarrant M. Interventions to increase the uptake of seasonal influenza vaccination among pregnant women: A systematic review. Vaccine. 2016 Jan;34(1):20–32.

9. Raya BA, Edwards KM, Scheifele DW, Halperin SA, B. AR, K.M. E, et al. Pertussis and influenza immunisation during pregnancy: a landscape review. The Lancet Infectious Diseases. 2017 Jul;17(7):e209–22.

10. Phadke VK, Omer SB. Maternal vaccination for the prevention of influenza: current status and hopes for the future. Expert Review of Vaccines 2016 Oct;15(10):1255–80

The reference numbers 32 and 34 are repeat, need to check and revise the numbers.

Thank you for pointing this out. We have removed the duplicate reference.

The modified manuscript can be accepted as it's a valuable contribution from LMICs to the field.

________________________________________

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Attachment

Submitted filename: Response to reviewers23112021.docx

Click here for additional data file.^{(18.3KB, docx)}

PLoS One. doi: 10.1371/journal.pone.0262871.r005

Decision Letter 2

Emily A Hurley

7 Jan 2022

Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic review

PONE-D-21-08838R2

Dear Dr. Apte,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Emily A Hurley, M.P.H., Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

PLoS One. doi: 10.1371/journal.pone.0262871.r006

Acceptance letter

Emily A Hurley

17 Jan 2022

PONE-D-21-08838R2

Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic review

Dear Dr. Apte:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Emily A Hurley

Academic Editor

PLOS ONE

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Quality assessment of studies using New Castle Ottawa scale.

(DOCX)

Click here for additional data file.^{(16.8KB, docx)}

S2 Table. Quality assessment of qualitative studies using tool developed by Hawker et al.

(DOCX)

Click here for additional data file.^{(15.4KB, docx)}

Attachment

Submitted filename: Response to reviewers_Mat flu SR_05102021.docx

Click here for additional data file.^{(43.7KB, docx)}

Attachment

Submitted filename: Response to reviewers23112021.docx

Click here for additional data file.^{(18.3KB, docx)}

Data Availability Statement

The Supporting information files are available at figshare (doi:10.6084/m9.figshare.16757044).

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PERMALINK

Determinants of maternal influenza vaccination in the context of low- and middle-income countries: A systematic review

Shrish Raut

Aditi Apte

Manikandan Srinivasan

Nonita Dudeja

Girish Dayma

Bireshwar Sinha

Ashish Bavdekar

Roles

Abstract

Background

Methods

Results

Conclusion

Background

Methods

Inclusion and exclusion criteria

Literature search strategy

Table 1. Search criteria.

Data extraction and analysis

Results

Fig 1. PRISMA flow chart.

Overview of included studies

Table 2. Study characteristics.

Quality assessment

Vaccine acceptance or vaccine uptake

Table 3. Factors associated with uptake and acceptance of maternal influenza vaccine amongst pregnant women and/or health care providers.

Demographic and clinical factors associated with uptake of influenza vaccination by pregnant women [Table 3]

Table 4. Barriers to maternal influenza vaccination as perceived by pregnant women and health care providers*.

Factors related to knowledge of disease and vaccine-related factors

Factors related to healthcare providers and health system

Influence of family, community and media

Discussion

Conclusion

Supporting information

Acknowledgments

Data Availability

Funding Statement

References

Decision Letter 0

Emily A Hurley

Roles

Author response to Decision Letter 0

Decision Letter 1

Emily A Hurley

Roles

Author response to Decision Letter 1

Decision Letter 2

Emily A Hurley

Roles

Acceptance letter

Emily A Hurley

Roles

Associated Data

Supplementary Materials

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

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Links to NCBI Databases

Table 4. Barriers to maternal influenza vaccination as perceived by pregnant women and health care providers^*.