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PLOS One logoLink to PLOS One
. 2020 Jan 31;15(1):e0228017. doi: 10.1371/journal.pone.0228017

Facilitators and barriers to the implementation of a Mobile Health Wallet for pregnancy-related health care: A qualitative study of stakeholders’ perceptions in Madagascar

Nadine Muller 1,2,3,4,5,6,*, Shannon A McMahon 1,2,7, Jan-Walter De Neve 1,2, Alexej Funke 1,2, Till Bärnighausen 1,2,8,9, Elsa N Rajemison 1,2, Etienne Lacroze 1,2, Julius V Emmrich 4,5,6,10,#, Samuel Knauss 4,5,6,10,#
Editor: Sharon Mary Brownie11
PMCID: PMC6993972  PMID: 32004331

Abstract

Financial barriers are a major obstacle to accessing maternal health care services in low-resource settings. In Madagascar, less than half of live births are attended by skilled health staff. Although mobile money-based savings and payment systems are often used to pay for a variety of services, including health care, data on the implications of a dedicated mobile money wallet restricted to health-related spending during pregnancy–a mobile health wallet (MHW)–are not well understood. In cooperation with the Madagascan Ministry of Health, this study aims to elicit the perceptions, experiences, and recommendations of key stakeholders in relation to a MHW amid a pilot study in 31 state-funded health care facilities. We conducted a two-stage qualitative study using semi-structured in-depth interviews with stakeholders (N = 21) representing the following groups: community representatives, health care providers, health officials and representatives from phone provider companies. Interviews were conducted in Atsimondrano and Renivohitra districts, between November and December of 2017. Data was coded thematically using inductive and deductive approaches, and found to align with a social ecological model. Key facilitators for successful implementation of the MHW, include (i) close collaboration with existing communal structures and (ii) creation of an incentive scheme to reward pregnant women to save. Key barriers to the application of the MHW in the study zone include (i) disruption of informal benefits for health care providers related to the current cash-based payment system, (ii) low mobile phone ownership, (iii) illiteracy among the target population, and (iv) failure of the MHW to overcome essential access barriers towards institutional health care services such as fear of unpredictable expenses. The MHW was perceived as a potential solution to reduce disparities in access to maternal health care. To ensure success of the MHW, direct demand-side and provider-side financial incentives merit consideration.

Introduction

Health-related, out-of-pocket payments are a frequent source of impoverishment among households in low- and middle-income countries (LMICs) [13]. In its concept of universal health coverage within the 2030 Agenda for Sustainable Development, the World Health Organization emphasized a need to protect families against financial risks due to health care-related expenditures [4].

In several high-income countries, health insurance successfully protects against financial risks from health shocks based on the principle of solidarity: financial risk of illness is spread across the population by raising funds through prepayments or taxes and thereby pooling available funds. In LMICs, the implementation of similar concepts has been challenging due to a weakened health system, an absence of a centralized insurance platform and barriers in terms of household willingness and ability to join programs that require regular premium payments [5]. Alternative strategies such as community savings groups have been successful on a local level but are currently difficult to expand to a national scale [6].

The spread of mobile phones and mobile payment systems have changed the way economies and societies work in LMICs [7]. Today, more than 70% of worldwide mobile phone subscriptions come from LMICs with more than 74 subscriptions per 100 people in sub-Saharan Africa (SSA) in 2016 [8]. Following an exponential growth of mobile phone ownership in SSA in the last ten years, mobile payment systems, colloquially known as mobile money (MM), have disrupted the financing and banking landscape and have become a mainstay of financial transactions throughout SSA [9]. In 2017, three quarters of the world's MM transaction volume of almost 2 billion dollars were from SSA countries [10]. These technologies provide an unprecedented opportunity for inclusive solutions to the health coverage challenge.

The mobile health wallet

Mobile-phone based payment and savings platforms aim to increase care-seeking among populations who do not have full coverage of essential health services. The system uses existing MM infrastructure and has the potential to restrict the withdrawal or spending of funds to the payment of services at registered health care facilities. A payment and savings tool like the MHW encourages households to financially prepare for future health expenses by securing their personal savings to better respond to health shocks. In case of imminent need, i.e. due to sudden illness or complications, such an approach further enables users to collect contributions from relatives or raise funds from other sources. Within recent years, MM based payment and savings platforms have been successfully applied in LMICs, including Kenya and Mali, for various medical conditions [11]. Pregnancy and birth-related care seems to be particularly well suited for the use of a MHW as expenses are mostly predictable both in time and amount. However, to our knowledge, there is currently no evidence on the success of application of a MHW specifically for maternal health care.

In Madagascar, the non-governmental organization Doctors for Madagascar developed a Mobile Health Wallet (MHW) to mitigate or eliminate out-of-pocket payments for health care expenditures. The core system behind the MHW is a software platform that allows users, namely pregnant women, to save and pay for health care services using MM at participating health care providers. Personal data and funds on the MHW are linked to an individual SIM (subscriber identity module) card which can be used with any type of handset independent of smartphone capability or internet access. To further incentivize pregnant women to save money within their MHW, external donors provide bonus payments to women who reach a savings target [12]. Additional incentives include access to ambulance services, and obstetric ultrasounds at no cost based on need. To enable implementation of this digital payment system at health care facilities, tablets or mobile phones were distributed to the health care providers in participating centers.

In prior work, we found a high acceptability and perceived usefulness of a MHW to overcome financial obstacles to health care among Malagasy women [13]. The Madagascan Ministry of Health has also shown pointed interest in rolling out the MWH and, in cooperation with Doctors for Madagascar, is undertaking a pilot of the MHW in 31 state-funded health care facilities in the region of Analamanga in central Madagascar from which data for this research is drawn.

Maternal and neonatal health care in Madagascar

Assuring the accessibility and acceptability of health services for pregnant women is a persistent challenge for Madagascar. Key millennium development goal (MDG) 5 indicators for maternal health were not met: despite falling gradually to 440 deaths per 100,000 livebirths in 2015, the maternal mortality rate was far short of the MDG target of 190 per 100,000 [14,15]. The latest available data from 2017 show a national maternal mortality rate of 335 deaths per 100,000 live births [16]. According to the most recent data from 2009 and 2013, the percentage of deliveries attended by skilled health personnel has stagnated at 44% [17]. Although there is no universal health coverage, Madagascan national health policy outlines the free provision of antenatal care and for normal, non-complicated deliveries in all public-sector health care facilities. Fees are often charged for folic acid and iron supplements, lab tests, drugs and related treatment as well as complications during delivery, which effectively limits women’s access to skilled maternal care [13,18]. As previously shown, a majority of pregnant women in Madagascar use household cash savings to financially prepare for institutional delivery. However, among poorer populations it is especially difficult to save cash while also saving for expenses such as school fees or unforeseen financial crises. This situation thus threatens the feasibility of saving adequate funds for maternal health services such as antenatal care and skilled birth attendance [13].

A study of stakeholders’ perceptions

For health care professionals, the implementation of an alternative payment modality, such as the MHW, inevitably entails alterations in clinical routines and revenue streams. These alterations have the potential to impact stakeholders’ administrative and organizational habits and alter economic benefits inherent to existing payment systems. Adaptation to the regional contexts, understanding stakeholders’ perspectives about usefulness, practicability and acceptability is therefore paramount for efficient project implementation and scale-up [1921]. This qualitative study explores stakeholders’ perspectives regarding the proposed implementation of the MHW by learning how stakeholders describe obstacles in providing pregnancy and delivery care in relation to the MHW, and to analyze potential pitfalls and recommendations prior to introducing the MHW in public-sector health care facilities.

Materials and methods

Ethical considerations

The study was approved by the Madagascan Ministry of Health and the Heidelberg University Hospital Ethics Committee (No. S-703/2017). Informed written consent was obtained from all participants of the study prior to the interview.

Study setting

The study was conducted in Madagascar, an island country with 26.3 million inhabitants off the coast of East Africa [22]. According to the Human Development Index, Madagascar ranks 161th of 189 countries [23]. Annual income per person is low at US$461, placing Madagascar among the 6 poorest countries globally in 2018 [24]. Poverty is especially prevalent in rural areas where around two-thirds of the population live [25,26]. As of 2018, 41% of the population are below age 14. The government expenditures on education measure 2.1% of the gross domestic product (GDP); an estimated 3.93 million adults are illiterate [27]. Educational deprivation strongly varies across socioeconomic groups: the richest quintile of the population averages 9.8 years of schooling, compared with 1.7 years for the poorest quintile [23].

Located in Central Madagascar’s Analamanga region, the study districts (Atsimondrano and Renivohitra), which include the capital Antananarivo, are primarily urban and were selected due to an extensive phone network coverage and a high population density. Pregnancy and birth related health care services in this area are predominantly provided by Centres de Santé de Base level 1 (CSB1), equivalent to health posts in anglophone African countries, and CSB level 2 (CSB2), equivalent to health centers and district hospitals [28].

Study sampling

We conducted a two-staged qualitative study using semi-structured interviews. In the first stage, we purposively sampled sector experts across health care system levels based on their experience and ability to provide relevant information on health care organization, provision, communication, administration and financing in the study zone [29]. We complemented this approach in a second stage with snowball sampling and ultimately interviewed respondents across different health care and health profession levels, community representatives and telephone provider representatives [30,31].

Data collection

Semi-structured interview guides were developed in English and translated into French and Malagasy. Data were collected from 28th of November until 12th of December of 2017 by interviewers fluent in Malagasy, English and French, and with graduate-level education and experience in qualitative research methods. All members of the data collection team participated in a one-day workshop and training to ensure a common understanding of all aspects of the MHW intervention. Prior to the start of interviews, we collected basic socio-demographic data of respondents (gender, age, years of experience in the health sector). Overall, 21 stakeholders were sampled including 8 community representatives, 8 health care providers, 3 health officials and 2 phone provider representatives. All in-depth interviews were audio-recorded in a private place of the respondent’s choice. Interviews lasted 25 to 75 minutes. To assure a clear understanding of the concept and aim of the MHW by respondents, a concise description of the MHW was read aloud and interviewees were encouraged to ask questions and seek clarity throughout the interview. Figs 1 and 2 depict the study sample and study themes addressed across interviews, respectively. Topics included general perceptions of the MHW, sector and component experiences, perceptions of obstacles to providing health care, as well as recommendations and expectations for implementing MHWs. Sampling continued until no new information emerged and saturation was reached [32].

Fig 1. Number of participants among groups and gender distribution (N = 21).

Fig 1

Fig 2. Overview of respondent characteristics by level, type, number (n) and topics covered (N = 21).

Fig 2

Yellow = perception of MHW components, Blue = sector and component experiences, Green = obstacles towards MHW components, Red = recommendations and expectations.

Data analysis

All interviews were tape-recorded, verbatim transcribed in the original language and, if in French or Malagasy, translated into English. Transcripts were analyzed by two researchers (NM, AF) who developed a codebook which was validated by a senior qualitative research expert (SM) [30]. Each set of data was analyzed at least twice. Thematic coding was applied by using a partially deductive approach, informed by findings from a previous study, and an inductive coding technique with creation of themes as they emerged from the transcripts [13]. Analysts convened regularly to debate differences in coding and interpretation. During the analysis process, when new codes emerged, coders discussed the new findings and transcripts were recoded as the codebook was refined.

In the process of coding, a social ecological model (SEM) emerged as an organizing framework around which to present the data. The SEM is a theory-based framework that considers the interplay of multiple social system levels and interactions from the individual level to the broader environment [33]. The SEM facilitated the exploration of dynamic interactions across different social levels that influence health care seeking behaviors and program acceptance. Emerging themes and subthemes with potential influence on successful MHW implementation were grouped into the following three SEM layers and are presented accordingly in the results section:

  1. Institutional and policy: Influences of the current health care system and implications of national and local laws and policies. Sub-themes include previous experience with mobile payment schemes, implications by the existing service payment system, potential conflicts with external service providers and legal and technical factors with implications on the MHW.

  2. Interpersonal and community: Factors by formal and informal social networks and social support systems. Subthemes describe interpersonal and cultural influences on decision-making, influences by applied saving methods and factors related to communication strategies.

  3. Individual: Factors and characteristics of the individual that influence behavior, expectations and attitude towards the MHW. Subthemes focus on the minimum prerequisites for access and factors influencing the individuals’ decision-making.

Coding was performed with the software NVivo 12 [34].

Results

Fig 3 presents a summary of the influencing factors on the implementation of the MHW as identified during the analysis process.

Fig 3. Social ecological model with layers of influence and influencing factors on the implementation of the MHW.

Fig 3

Institutional factors

All interview respondents describe mobile technologies as well known and having become very common for a multitude of daily life activities. However, only one respondent had previous experience with mobile payment systems within the health care sector. In this specific case, a non-governmental organization provided program-specific mobile payments within the Malagasy health care sector.

MHW-induced changes of the current reward systems might arouse opposition and concerns. One phone provider representative recalled a particular example of the implementation of a novel mobile payment system within the energy sector wherein the introduction of the new system induced the replacement of former reward and payment structures and ultimately changed official or non-official benefits of some actors. This led to frustration and in consequence a disparaging or even hostile attitude toward the program.

As a relevant obstacle to health care generally but also an important factor that could endanger acceptance of the MHW, interviewees mentioned inconsistent service fees at the provider level. This point was primarily raised by the health care providers themselves. A physician stated:

Not knowing the price for delivery is an obstacle that deters (pregnant women) from going to hospital. Because in their mind, it is about money and it costs a lot to give birth at a hospital. This is a big problem, a real obstacle for them.” (Female physician, state-funded health care facility)

Especially non-official stakeholders were particularly concerned about potential non-transparent management of program activities including unclear definitions of MHW benefits and complicated terms and conditions. Respondents also described how scarce personal savings for birth could induce hesitancy towards saving activity with the MHW, due to its restricted pay-out options. This can be especially critical for poorer women with no additional cash funds available to react in case of other emergencies. Thus, clear and comprehensive program information for all program participants was deemed essential to avoid negative impacts on women’s participation.

Other concerns were voiced specifically towards some MHW’s components such as the ambulance service and mobile ultrasound free of charge. Conflicts with existing care providers, offering identical examinations as a paid service, were predicted. In order to avoid competition, collaboration with the existing provider for execution of program activities was cited as a potential solution.

The planned distribution of a mobile device (tablet or mobile phone) for program specific purposes to each participating health care unit was seen as highly beneficial by health care providers. They noted that this could be perceived as a “bonus”, and could thus promote participation, and a positive attitude in general towards the intervention. One respondent asked whether the tablet could also be used for personal activities.

From a legal and a technical point of view, neither health officials nor phone provider representatives voiced concerns regarding the implementation of the MHW within state-funded health care institutions.

Interpersonal and community factors

Decisions about antenatal care services and enrolment in program activities such as the MHW were not perceived as fundamentally shaped by the influence of husbands, family members or close relatives but rather by matrones. Matrones are traditional birth attendants who offer services, often at a lower price, as an unofficial alternative to the public sector. Given their status, lower service prices and the ability to sway women’s decisions, matrones were described as crucial in terms of decision making for especially poorer women.

Few respondents reported knowing women who use a mobile money account for financial birth preparation and only a minority reported experience with savings on mobile wallets in general. Another very recent savings method mentioned by respondents involves the concept of a rotating savings account (locally known as akandray akandray) where several women regroup for a common saving box, which is available for one particular woman in times of need. As reported by the respondents, as of yet, use of mobile currency has not been explored for rotating savings accounts in Madagascar, which have relied on cash savings thus far.

As mentioned independently by phone provider representatives, an obstacle to financial birth preparedness was described as a cultural reluctance to save money, with the exception of the personal savings box (caisse noire). A phone provider representative familiar with the implementation of MM services cited reluctance as a reaction to environmental factors and general distrust in financial affairs among the population:

"I think saving has always been problematic in [a low-income country like] Madagascar because of its characteristics in general: You are entrusting your money into somebody else’s hand. That is something that may scare people because they may think that they will not have access to their funds anytime they feel they want them.” (Male phone provider representative (Malagasy native))

Some community leaders attributed this reticence toward saving to a discomfort or fear when entering official or financial institutions, where lower-income men and women feel unwelcome or unaccepted. Overall, stakeholders explicitly agreed that the use of a mobile payment system within the health care sector could bypass this barrier:

With this (MHW), she is saving herself money in the telephone, so it solves the issue of going to a bank. Because this is a true fact, we Malagasy are afraid of going to any office or bank. So it solves a big problem.” (Male community leader)

Actively involving existing structures of community health workers into the programs’ sensitization campaign was strongly recommended, because these individuals were trusted in local communities and associated with other programs related to health and community betterment. To be distinguished from former campaigns, respondents recommended a communication design with clear and unambiguous messages and a heavy reliance on illustrations rather than text.

Cited as a crucial element of success, all respondents deemed a close collaboration with community leaders (locally known as chef fokontany) as essential for project acceptance among the population.

If you want to work with (populations from a lower social strata), you should always work with the head (meaning here: community leader, locally known as chefs fokontany). Because we are seen as parents and we are listened to. If you don’t follow this advice but come with an own initiative–this will for sure be negative.” (Male community leader)

Individual factors

Respondents perceived saving with the aid of a dedicated mobile account as a desirable-yet-challenging aspect of the MHW. Most stakeholders, especially community health workers, estimated that pregnant women’s scarcities of funds (i.e. due to lacking job opportunities, absence of regular income, financial burden for daily expenses, opportunity costs in the study zone) would serve as major obstacles to successful application of the MHW’s savings function:

The small amount of money earned today is spent for the food today. And the price of rice is currently very high and even increasing every day. So, it is impossible for them (pregnant women) to save because their income is not regular and stems from a precarious job.” (Female community agent)

Most stakeholders said that non-monetary incentives such as supplements, ultrasound testing or free ambulance transfer would not effectively promote the use of the MHW because they do not tackle the principle financial challenges of the target group. As the only means to effectively overcome these financial barriers, the implementation of direct financial incentives rewarding pregnant women for even minor saving activity were strongly encouraged by all stakeholder groups.

As a second major obstacle, respondents described limited mobile phone ownership among poorer women, which would essentially exclude an estimated majority of women–particularly those from lower population strata—from participation. The estimates of phone ownership rates, however, were contradictory across respondent groups with community leaders and health workers raising concerns and health officials being more optimistic about mobile phone ownership rates.

Illiteracy among poorer women was also mentioned as a potential barrier limiting women’s abilities to directly follow program information and advice distributed via text-based mobile phone messages. Respondents said the availability of formalized, individual support personnel could improve user experiences and avoid dependency on others for technical support which could make women susceptible to fraud.

Stakeholders also said that a limited education level among some women would be a barrier to seeking professional maternal health care. Similarly, respondents mentioned that some women have incorrect medical knowledge or a perception of non-usefulness of professional medical care unless complications occur.

Respondents further described the MHW as incapable of fully mitigating several underlying barriers such as fear of unpredictable expenses at hospitals and related expenses for transportations and provisions, leading some women to forgo birth attendance in qualified centers:

They (pregnant women) don’t dare approaching health centers, because they think that entering health centers always mean ‘money out’. Self-medication or consultation of local matrones (traditional birth attendants) therefore dominate.” (Female community agent)

Even if they come to the health center for antenatal care, some of them are still giving birth at home because the matrone is less expensive compared to the hospital. And they want to avoid additional expenses like buying drugs or food.” (Male community agent)

For program sensitization purposes, some respondents recommended confronting the target group with radical or even threatening scenarios. One community leader suggested explicitly conveying the risk for death when facing complications without attending skilled care. For program information purposes, respondents from within the community advised approaching the target population directly within their living area and undertaking home visits.

I don’t have any other advice than getting out into the communities directly. It is not efficient to call them to come to the CSB (centre de santé de base, = basic health facility). The problem nowadays is time; time is precious. You will not get anyone spending easily their time. We, here on the ground, we can see that. There is no better alternative than going door to door and seeing here one woman, there another one.” (Male community leader)

Discussion

We elicited facilitators, barriers and recommendations for the implementation of a mobile phone-based savings and payment platform in Madagascar from local stakeholders. All stakeholders confirmed usefulness and appropriateness of the MHW. Low mobile phone ownership, general factors restricting acceptance of institutional health care, cultural reluctance and inexperience with saving, illiteracy and potential pushbacks from health care providers due to suspension of status quo’s benefits were seen as critical challenges. A result-based bonus system for providers and users, the design of promotion and outreach activities and the respect and inclusion of local power hierarchies during program implementation were seen as key determinants of the MHW’s success.

Formative research is used to understand attributes of the target audience and the context in which interventions will be designed [35]. Ideally, formative research is conducted before the setup and implementation of an intervention. Several publications exist that draw upon formative research to adapt and enhance the design of mobile phone-based interventions to support maternal health care in LMICs [3639]. Although mobile phone-based payments schemes are changing the landscape of health care provision in other SSA countries as described in our previous work [13], to our knowledge, publications on formative research regarding the implementation of a mobile payment and savings system within health care in LMIC are scarce.

Most respondents estimate that financial incentives, i.e. by bonus payments to pregnant women, are needed to foster curiosity and curb hesitation regarding MHWs. With growing evidence that conditional cash transfers have the potential to increase women’s access to maternal health care, demand-side payment schemes are becoming increasingly popular in LMICs [4043]. It has also been shown that conditional cash transfers contribute to reduced time taken before presenting for emergency obstetric care, thus reducing maternal morbidity and death [44]. Stakeholders strongly recommended the introduction of a bonus-payment scheme in order to promote women’s saving activities and to facilitate access to skilled maternal care. This recommendation was argued first on the grounds of equity in health care access and second in relation to the success of the intervention.

Stakeholders’ estimates on mobile phone ownership and literacy among pregnant women gave mixed results. Within our previous study, we found more than three quarters of the participants have access to a mobile phone and more than nine out of ten women are literate [13]. These findings are contradictory to the estimates of the stakeholders in the present study and reflect a point of misunderstanding that merits consideration. An essential limitation of the previous study was that only visitors of a health care center were interviewed, which suggests a selection bias as those who could not seek care were excluded from the study. Based on these contradictory but potentially fundamental findings and the prevailing reality of adult illiteracy in the Malagasy population, we strongly suggest applying an image-based knowledge dissemination strategy and alternatively offering verbal announcements and voice calls to convey basic program information. Furthermore, we recommend evaluating whether several saving accounts could be established on one mobile phone to potentially allow sharing one phone among several family members or among a group of women to bridge a potential low phone ownership rate. However, it needs to be considered that a single SIM card for several people raises concerns of confidentiality and security of individual savings. We therefore suggest making SIM cards largely available to pregnant women even without owning a phone as they can be inserted and removed easily with any handset, thus mitigating the aforementioned privacy concerns.

Our findings reflect a number of stakeholders’ recommendations and challenges towards a successful implementation of the MHW. One of the strongest suggestions pronounced by all stakeholder groups was to respect local hierarchies and to opt for intense cooperation with local leaders. A mixed-methods study on lessons learnt from the implementation of a maternal health care voucher scheme in Eastern Uganda describes how communities were more inclined to listen and trust messages from their local leaders, thus leading to enhanced project participation [45]. Broad communication seems to be an equally important respondent-driven component of MHW acceptance. Our results suggest that promotion of the health care campaign should make use of various media channel, yet place particular emphasis on personal contact. Similar to our findings, a research team from Cameroon found that social mobilization activities such as door-to-door visits and involvement of mass media represented the most important and accepted ways of communicating campaign information [46].

Within this formative research, we experienced no principle resistance to change as it has been described for other mobile health interventions [47]. Potential challenges for the health care provider might be changes in habitual work processes and higher workload. Attenuation of these events and avoidance of negative consequences should be ultimately foreseen within the program intervention plan [48]. Cessation of former benefits could lead to reduced motivation or even hostile behavior towards new interventions. Therefore, a balance of benefits and incentives of participation should be carefully evaluated for each stakeholder group to avoid or replace a perceived loss of current benefits. Among interviewed health care providers, there was great interest in the mobile tablet distributed for implementation of the intervention to participating health care facilities with particular interest in personal usage of these devices. A study seeking to improve maternal health care service delivery in Ethiopia found that entrusting a mobile device to health care staff creates a sense of ownership and has the potential to be a strong motivator to undertake proposed intervention activities [49]. The provided mobile devices could be purposely unblocked so that personal calls, messages and internet consumption were available for users. It should be discussed whether this form of incentive should be applied to the MHW intervention.

Our study has several limitations. The study was conducted in an urban setting, and expectations or experiences in rural areas likely differ. Additionally, the study was conducted in preparation for a specific health care support program. This could have led to a social desirability bias as participants may have wanted to appeal to the interviewers in order to be selected for pilot implementation of the MHW activities. A cultural aversion to saving was described as a major concern by several stakeholders, but this is not reflected in the literature, nor in our previous study among 412 members of the target population, who overall reported a high willingness to save [13]. Given the divergence between community members’ self-reports versus high-level stakeholder perceptions of communities, the relevance of sideways data from stakeholders in this specific context possibly needs to be considered with caution. Overall, in lack of insurance schemes, saving funds help households and individuals to withstand financial shocks. There is clear evidence that poorer populations have substantial demand for savings despite various constraints [50,51]. Although the MHW's primary goal is to reduce barriers to health care services for populations most in need, women from the lower socioeconomic strata, including women who lack basic school education and/or the means to afford a mobile phone or SIM card, might not sign up to the MHW. To minimize health inequities, we strongly recommend more research on prevailing prerequisites of access, leading to a more inclusive design of the MHW.

Conclusions

Respondents in this study described the implementation of a mobile phone-based savings and payment platform as a useful and potentially powerful means to reduce inequalities in access to skilled maternal care. The design of demand-side and provider-side benefits in the form of bonus payments were viewed as important determinants underpinning the success or failure of the MHW. Stakeholders also emphasized the need for a culturally sensitive information and promotion campaign for intervention success. For success, stakeholders and local leaders must know of and actively support the MHW program. More research is needed to address factors determining access to health care services among pregnant women from lower socioeconomic strata in more detail.

Supporting information

S1 Appendix. Questions asked to participating stakeholders from different levels.

(PDF)

Acknowledgments

The authors thank the Madagascan Ministry of Health and all stakeholders who provided their support for this study. The authors thank Mialy Rakontondraina for critical revision of the data collection tools and Dr. Jeannot Randriantsoa for his support during data collection.

List of abbreviations

LMIC

Low and middle-income country

MDG

Millennium development goal

MM

Mobile money

MHW

Mobile health wallet

SEM

Social ecological model

SSA

sub-Saharan Africa

Data Availability

As the datasets contain sensitive and potentially identifying individual information, they are available to qualified researchers upon request from the Ethics Committee of Heidelberg University (Ethikkommission der Medizinischen Universität Heidelberg), Alte Glockengießerei 11/1, 69115 Heidelberg, Phone: +49 (0) 6221 562646-0.

Funding Statement

Funding for the implementation of the Mobile Health Wallet was provided by grants from the Berlin Institute of Health and Else Kröner-Fresenius-Stiftung. TB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the Federal Ministry of Education and Research, Germany. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional funding received for this study.

References

  • 1.Alam K, Mahal A. Economic impacts of health shocks on households in low and middle income countries: a review of the literature. Glob Heal. 2014;10:21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Xu K, Evans DB, Carrin G, Aguilar-Rivera AM, Musgrove P, Evans T. Protecting households from catastrophic health spending. Health Aff. 2007;26(4):972–83. [DOI] [PubMed] [Google Scholar]
  • 3.Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJL. Household catastrophic health expenditure: A multicountry analysis. Lancet. 2003;362(9378):111–7. 10.1016/S0140-6736(03)13861-5 [DOI] [PubMed] [Google Scholar]
  • 4.Nations United. Transforming our world: the 2030 Agenda for Sustainable Development. Gen Assem 70 Sess. 2015;16301(October):1–35. [Google Scholar]
  • 5.Nosratnejad S, Rashidian A, Dror DM. Systematic review of willingness to pay for health insurance in low and middle income countries. PLoS One. 2016;11(6):1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mutebi A, Muhumuza Kananura R, Ekirapa-Kiracho E, Bua J, Namusoke Kiwanuka S, Nammazi G, et al. Characteristics of community savings groups in rural Eastern Uganda: opportunities for improving access to maternal health services. Glob Health Action. 2017. August;10(sup4):1347363 10.1080/16549716.2017.1347363 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jack W, Suri T. Risk sharing and transactions costs: Evidence from Kenya’s mobile money revolution. Am Econ Rev. 2014;104(1):183–223. [Google Scholar]
  • 8.The World Bank Group. Mobile cellular subscriptions (per 100 people) [Internet]. 2016 [cited 2019 Sep 11]. Available from: https://data.worldbank.org/indicator/IT.CEL.SETS.P2?locations=ZG-MG&name_desc=true
  • 9.GSM Association. The Mobile Economy Sub-Saharan Africa 2018 [Internet]. 2018 [cited 2019 Oct 15]. Available from: https://www.gsmaintelligence.com/research/?file=809c442550e5487f3b1d025fdc70e23b&download
  • 10.GSM Association. State of the Industry Report on Mobile Money: Decade Edition 2006–2016 [Internet]. Gsma. 2017 [cited 2019 Oct 15]. p. 1–75. Available from: http://www.gsma.com/mobilefordevelopment/wp-content/uploads/2017/03/GSMA_State-of-the-Industry-Report-on-Mobile-Money_2016.pdf
  • 11.Meessen B. The Role of Digital Strategies in Financing Health Care for Universal Health Coverage in Low- and Middle-Income. Glob Heal Sci Pract. 2018;6:29–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Doctors for Madagascar. mTomady [Internet]. French; 2019 [cited 2019 Oct 15]. Available from: https://mtomady.com/fr/
  • 13.Muller N, Emmrich PMF, Rajemison EN, De Neve JW, Bärnighausen T, Knauss S, et al. A mobile health wallet for pregnancy-related health care in Madagascar: Mixed-methods study on opportunities and challenges. JMIR mHealth uHealth. 2019;21(3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.UNICEF, WHO. A decade of tracking progress for maternal, newborn, and child survival: 2015 Report. Vol. 6736, Countdown to 2015. 2015. 1–220 p.
  • 15.Barmania S. Madagascar’ s health challenges (World Report) [Internet]. Vol. 386, The Lancet. Elsevier Ltd; 2013. Available from: 10.1016/S0140-6736(15)61526-4 [DOI]
  • 16.World Health Organization (WHO). Trends in Maternal Mortality: 2000 to 2017 [Internet]. 2019 [cited 2019 Nov 20]. Available from: https://data.worldbank.org/indicator/sh.sta.mmrt
  • 17.UNICEF. Maternal and Newborn Health Coverage: Joint UNICEF/WHO Database 2019 [Internet]. 2019 [cited 2019 Dec 4]. Available from: https://data.unicef.org/topic/maternal-health/delivery-care/
  • 18.Garchitorena A, Miller AC, Cordier LF, Ramananjato R, Rabeza VR, Murray M, et al. In Madagascar, use of health care services increased when fees were removed: Lessons for universal health coverage. Health Aff. 2017;36(8):1443–51. [DOI] [PubMed] [Google Scholar]
  • 19.Brinkel J, May J, Krumkamp R, Lamshöft M, Kreuels B, Owusu-Dabo E, et al. Mobile phone-based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana–an evaluation of user experiences. Trop Med Int Heal. 2017;22(5):622–30. [DOI] [PubMed] [Google Scholar]
  • 20.Lefevre AE, Mohan D, Hutchful D, Jennings L, Mehl G, Labrique A, et al. Mobile Technology for Community Health in Ghana: What happens when technical functionality threatens the effectiveness of digital health programs? BMC Med Inform Decis Mak. 2017;17(1):1–17. 10.1186/s12911-016-0389-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mutebi A, Kananura RM, Ekirapa-Kiracho E, Bua J, Kiwanuka SN, Nammazi G, et al. Characteristics of community savings groups in rural Eastern Uganda: Opportunities for improving access to maternal health services. Glob Health Action. 2017;10(4). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.The World Bank Group. World Development Indicators database: Country Profile Madagascar [Internet]. 2016 [cited 2019 Oct 15]. Available from: http://databank.worldbank.org/data/Views/Reports/ReportWidgetCustom.aspx?Report_Name=CountryProfile&Id=b450fd57&tbar=y&dd=y&inf=n&zm=n&country=MDG
  • 23.UNDP. Human Development Reports: HD Indicators Madagascar, 2017 [Internet]. 2017 [cited 2019 Nov 20]. Available from: http://hdr.undp.org/en/countries/profiles/MDG
  • 24.The World Bank Group. GDP per capita (current US$)—Madagascar [Internet]. [cited 2019 Dec 4]. Available from: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=MG
  • 25.INSTAT. Enquête nationale sur le suivi des objectifs du millénaire pour le développement à Madagascar. 2012–2013 Étude Nationale. Synthèse des différents thèmes. 2014;1–64. Available from: http://instat.mg/essai/wp-content/uploads/2014/12/ensomd-2012-2013_resume.pdf [Google Scholar]
  • 26.United Nations. United Nations Data Retrieval System. Country profile Madagascar. [Internet]. [cited 2019 Dec 4]. Available from: http://data.un.org/en/iso/mg.html
  • 27.UNESCO Institute for Statistics. Madagascar Country Profile: Illiterate population [Internet]. 2019 [cited 2019 Nov 20]. Available from: http://uis.unesco.org/en/country/mg
  • 28.Marks F, Rabehanta N, Baker S, Panzner U, Park SE, Fobil JN, et al. A Way Forward for Healthcare in Madagascar? Clin Infect Dis. 2016;62(Suppl 1):s76–9. [DOI] [PubMed] [Google Scholar]
  • 29.Emmel N. Purposeful Sampling BT. In: Sampling and Choosing Cases in Qualitative Research: A Realist Approach. London: SAGE Publications Ltd; 2013. [Google Scholar]
  • 30.Patton MQ. Qualitative evaluation and research methods. 2nd edition Thousand Oaks, CA, US: Sage Publications, Inc; 1990. 532 p. [Google Scholar]
  • 31.Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Adm Policy Ment Heal Ment Heal Serv Res. 2015. September 6;42(5):533–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Gentles SJ, Charles C, Ploeg J, McKibbon KA. Sampling in Qualitative Research: Insights from an Overview of the Methods Literature. Qual Rep. 2015. April 26;20(11):1772–89. [Google Scholar]
  • 33.Sallis JF, Owen N. Ecological models of health behavior In: Glanz K, Rimer BK, Viswanath K, editors. Health Behavior: Theory, Research, and Practice. 5th ed Jossey-Bass public health; 2015. [Google Scholar]
  • 34.NVivo qualitative data analysis software; QSR International Pty Ltd. 2018.
  • 35.Gaillard P, Piwoz E, Farley TMM. Collection of standardized information on infant feeding in the context of mother-to-child transmission of HIV. 2001;3537:3525–37. [DOI] [PubMed] [Google Scholar]
  • 36.Smith C, Vannak U, Sokhey L, Ngo TD, Gold J, Free C. Mobile Technology for Improved Family Planning (MOTIF): The development of a mobile phone-based (mHealth) intervention to support post-abortion family planning (PAFP) in Cambodia. Reprod Health. 2016;13(1):1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gonsalves L, L’Engle KL, Tamrat T, Plourde KF, Mangone ER, Agarwal S, et al. Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) Study: formative protocol for mHealth platform development and piloting. Reprod Health. 2015;12(1):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hmone MP, Dibley MJ, Li M, Alam A. A formative study to inform mHealth based randomized controlled trial intervention to promote exclusive breastfeeding practices in Myanmar: Incorporating qualitative study findings. BMC Med Inform Decis Mak. 2016;16(1):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Modi D, Gopalan R, Shah S, Venkatraman S, Desai G, Desai S, et al. Development and formative evaluation of an innovative mHealth intervention for improving coverage of community-based maternal, newborn and child health services in rural areas of India. Glob Health Action. 2015;8(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Murray SF, Hunter BM, Bisht R, Ensor T, Bick D. Effects of demand-side financing on utilisation, experiences and outcomes of maternity care in low- and middle-income countries: A systematic review. BMC Pregnancy Childbirth. 2014;14(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Lagarde M, Haines A, Palmer N. The impact of conditional cash transfers on health outcomes and use of health services in low and middle income countries (Review). Cochrane Database Syst Rev. 2009;(4). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Alfonso YN, Bishai D, Bua J, Mutebi A, Mayora C, Ekirapa-Kiracho E. Cost-effectiveness analysis of a voucher scheme combined with obstetrical quality improvements: Quasi experimental results from Uganda. Health Policy Plan. 2015;30(1):88–99. 10.1093/heapol/czt100 [DOI] [PubMed] [Google Scholar]
  • 43.Morgan L, Stanton ME, Higgs ES, Balster RL, Bellows BW, Brandes N, et al. Financial Incentives and Maternal Health: Where Do We Go from Here? J Heal Popul Nutr. 2013;31(2):8–22. [PubMed] [Google Scholar]
  • 44.Chinkhumba J, Allegri M De, Mazalale J, Brenner S, Mathanga D, Muula AS. Household costs and time to seek care for pregnancy related complications: The role of results-based financing. PLoS One. 2017;12(9):e0182326 10.1371/journal.pone.0182326 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bua J, Paina L, Kiracho EE. Lessons learnt during the process of setup and implementation of the voucher scheme in Eastern Uganda: A mixed methods study. Implement Sci. 2015;10(1):1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ames H, Njang DM, Glenton C, Fretheim A, Kaufman J, Hill S, et al. Stakeholder perceptions of communication about vaccination in two regions of Cameroon: A qualitative case study. PLoS One. 2017;12(8):1–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Scott Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. J Telemed Telecare. 2018;24(1):4–12. 10.1177/1357633X16674087 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ridde V, Robert E, Meessen B. A literature review of the disruptive effects of user fee exemption policies on health systems. BMC Public Health. 2012;12:289 10.1186/1471-2458-12-289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Little A, Medhanyie A, Yebyo H, Spigt M, Dinant GJ, Blanco R. Meeting community health worker needs for maternal health care service delivery using appropriate mobile technologies in Ethiopia. PLoS One. 2013;8(10):1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Banerjee A V, Duflo E. The Economic Lives of the Poor. J Econ Perspect. 2007;21(1):141–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Karlan D, Ratan AL, Zinman J. Savings by and for the poor: A Research Review and Agenda. Rev Income Wealth. 2014;60(1). 10.1111/roiw.12101 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Sharon Mary Brownie

18 Nov 2019

PONE-D-19-28907

Facilitators and barriers to the implementation of a Mobile Health Wallet for pregnancy-related health care: a qualitative study of stakeholders’ perceptions in Madagascar

PLOS ONE

Dear Nadine Muller ,

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"Funding for the implementation of the Mobile Health Wallet was partly provided by a grant from the Else Kröner-Fresenius-Stiftung. TB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the Federal Ministry of Education and Research, Germany. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.".

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This is an interesting study, however, reviewers have identified some major issues which you will need to address. First, the abstract and manuscript must also be formatted correctly to the journal requirements. Other feedback includes the requirement of a much deeper analysis of the data with more participant comments to justify conclusions. Please look very carefully at each requirement tabled by the reviewers and address each of these in a table of response along with your revised manuscript.

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Reviewer #2: Yes

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Reviewer #2: No

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Reviewer #2: Yes

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Reviewer #1: This was an interesting study exploring one of the useful ways fintech could be used to achieve the SDGs in sub-Saharan Africa.

There are a few comments for the authors to address:

1. The abstract needs to be structured and in line with the journal guidelines.

2. Page 4, paragraph 1, line 86 needs to be revised for typo

3. Page 6, paragraph 1, line 133 needs revising. I think "include" should be substituted with the word "including"

4. On page 7, paragraph 2, line 170, the sentence "Gender distribution of participations as follows" needs to be revised.

5. The quotation marks in the quotations need to be revisited.

6. Can the authors provide more quotations from the participants especially for the information provided on page 13?

Reviewer #2: What is the current maternal mortality rate of Madagascar? Has it increased or decreased between 2015 and now? Beyond ante natal care what happens? Is delivery at a hospital or clinic free? Only the ante natal care was discussed. What is the socio economic status and literacy rate of the population in Madagascar and the catchment area where the study was done.

Line 109-110 use the latest indicators/statistics.

For me the paper fails to connect the dots between pregnancy health related care and the MHW?

Line 146 Prior to interview ---- move this to data collection, does not fall under sampling, unless if the data were used to decide who could be interviewed.

The data analysis needs to be explained in more detail for the reader to understand how the themes were arrived at and to illustrate an audit trail underpinning the trustworthiness. I like the way the conceptual framework was weaved into the findings. However, it would be good to mention the sub-themes within the broader categories of the conceptual framework

Line 170 - gender and distribution - can this be put in a table format? it would be easier to read in a table format.

Discussion; The discussion should highlight the limitations of the MHW given the low socioeconomic status of most of the pregnant mothers as well as the absence of handsets and the literacy rates. The illiteracy was mitigated well by suggestions of use of illustrations for health education. Or perhaps given these findings this is something that should be tried with a middle income cohort of pregnant women?

The suggestion of several people using a handset should take into consideration issues of confidentiality. I wish this question had been posed to the participants to hear their take on it. In my experience, many men would not want to share a phone with a woman.

This was an interesting study that puts a different spin to mHealth and health insurance, as the women would be in control of the money, not the health insurance.

**********

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Reviewer #1: No

Reviewer #2: No

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PLoS One. 2020 Jan 31;15(1):e0228017. doi: 10.1371/journal.pone.0228017.r002

Author response to Decision Letter 0


30 Dec 2019

We would like to first thank the reviewers for their helpful and constructive feedback. We are grateful to Reviewer 1 who described our work as one useful step towards achievement of the Sustainable Development Goals. We are thankful to Reviewer 2 who noted the empowering aspect of the digital intervention we investigate. Finally, we thank the editorial team for highlighting the interesting and sound character of our study.

Please see below a point-by-point response to the comments from each reviewer. We are hopeful that these changes (also highlighted via track changes in the attached manuscript) meet the expectations of reviewers and editors. We look forward to your feedback.

1. The abstract needs to be structured and in line with the journal guidelines.

-> We thank the reviewer for highlighting this. We have followed the format of PLOS ONE author guidelines (which discourages the use of sub-headings in abstracts). The abstract has been formatted according the journal’s most recent author formatting guidelines available online at: (https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf).

To improve the overall clarity of the abstract we rephrased some of the wording as follows (page 2, line 33):

In cooperation with the Madagascan Ministry of Health, this study aims to elicit the perceptions, experiences, and recommendations of key stakeholders in relation to a MHW amid a pilot study in 31 state-funded health care facilities.

2. Page 4, paragraph 1, line 86 needs to be revised for a typo.

-> We rectified the typo accordingly:

… the payment of services…(page 4, line 81)

3. Page 6, paragraph 1, line 133 needs revising. I think "include" should be substituted with the word "including"

-> The wording has been revised and adapted:

Located in Central Madagascar’s Analamanga region, the study districts (Atsimondrano and Renivohitra), which include the capital Antananarivo, are primarily urban and were selected due to an extensive phone network coverage and a high population density. (page 7, line 157)

4. On page 7, paragraph 2, line 170, the sentence "Gender distribution of participations as follows" needs to be revised.

-> We have extracted the gender distribution from the legend and created an extra figure (Fig 1, page 8, line 192) to clarify the gender distribution among different groups of participants.

5. The quotation marks in the quotations need to be revisited.

-> We revised and standardized the quotations marks (pages 10, 12 and 13) according to the journal’s guidelines.

6. Can the authors provide more quotations from the participants especially for the information provided on page 13?

-> We thank the reviewer for this suggestion. By revising the analyzed data, we extracted two more quotations on unpredictable expenses and avoidance of care-related expenses. The following quotations have been added (page 15, line 362):

“They (pregnant women) don’t dare approaching health centers, because they think that entering health centers always mean ‘money out’. Self-medication or consultation of local matrones (traditional birth attendants) therefore dominate.” (Female community agent)

“Even if they come to the health center for antenatal care, some of them are still giving birth at home because the matrone is less expensive compared to the hospital. And they want to avoid additional expenses like buying drugs or food.” (Male community agent)

1. What is the current maternal mortality rate of Madagascar? Has it increased or decreased between 2015 and now? Beyond ante natal care what happens? Is delivery at a hospital or clinic free? Only the ante natal care was discussed.

2. What is the socioeconomic status and literacy rate of the population in Madagascar and the catchment area where the study was done?

-> We thank the reviewer for pointing out this important, but thus far missing information. To provide more context, enhance clarity, comprehensiveness and timeliness, we have added information on the maternal mortality rate and skilled birth attendance as suggested (page 5, line 112):

Key millennium development goal (MDG) 5 indicators for maternal health were not met: despite falling gradually to 440 deaths per 100,000 livebirths in 2015, the maternal mortality rate was far short of the MDG target of 190 per 100,000 (14,15). The latest available data from 2017 show a national maternal mortality rate of 335 deaths per 100,000 live births (16). According to the most recent data from 2009 and 2013, the percentage of deliveries attended by skilled health personnel has stagnated at 44% (17).

Although the national health policy includes free provision of antenatal care and delivery in public-sector facilities, fees are charged for all drugs, additional tests and treatments. We specified that this is also the case for complications during delivery. We furthermore amended the following paragraph to clarify that financial obstacles substantially hinder access to skilled care in the current local context (page 5, line 118):

Although there is no universal health coverage, Madagascan national health policy outlines the free provision of antenatal care and for normal, non-complicated deliveries in all public-sector health care facilities. Fees are often charged for folic acid and iron supplements, lab tests, drugs and related treatment as well as complications during delivery, which effectively limits women’s access to skilled maternal care (13,18). As previously shown, a majority of pregnant women in Madagascar use household cash savings to financially prepare for institutional delivery. However, among poorer populations it is especially difficult to save cash while also saving for expenses such as school fees or unforeseen financial crises. This situation thus threatens the feasibility of saving adequate funds for maternal health services such as antenatal care and skilled birth attendance (13).

In the description of the study setting (page 6, line 149), we also added information on socioeconomic status and illiteracy in the country and in the catchment area:

According to the Human Development Index, Madagascar ranks 161th of 189 countries (23). Annual income per person is low at US$461, placing Madagascar among the 6 poorest countries globally in 2018 (24). Poverty is especially prevalent in rural areas where around two-thirds of the population live (25,26). As of 2018, 41% of the population are below age 14. The government expenditures on education measure 2.1% of the gross domestic product (GDP); an estimated 3.93 million adults are illiterate (27). Educational deprivation strongly varies across socioeconomic groups: the richest quintile of the population averages 9.8 years of schooling, compared with 1.7 years for the poorest quintile (23).

3. Line 109-110 use the latest indicators/statistics.

-> We updated our literature and database search to find more current databases and publications (including but not limited to data from UNICEF, WHO, DHS World Bank as well as from the Malagasy National Statistical Institute). Unfortunately, all agency and inter-agency databases containing information about skilled birth attendance in Madagascar relate to data not more recent than 2013.

4. For me the paper fails to connect the dots between pregnancy health related care and the MHW?

-> We thank the reviewer for highlighting our shortcoming to explain which essential gap in accessing pregnancy health related care will be filled by the MHW in more clarity. In addition to the amendments we made in response to the reviewer’s first comment, we further highlighted the fact that charged fees for supplements and tests are an important, financial barrier to skilled maternal health care.

We added some additional explanations on the potential risks faced with cash savings (page 5, line 122):

As previously shown, a majority of pregnant women in Madagascar use household cash savings to financially prepare for institutional delivery. However, among poorer populations it is especially difficult to save cash while also saving for expenses such as school fees or unforeseen financial crises. This situation thus threatens the feasibility of saving adequate funds for maternal health services such as antenatal care and skilled birth attendance (13).

Within the description of the MHW (section: The Mobile Health Wallet, page 4, line 81), we clarified potential benefits of the MHW:

A payment and savings tool like the MHW encourages households to financially prepare for future health expenses by securing their personal savings to better respond to health shocks. In case of imminent need, i.e. due to sudden illness or complications, such an approach further enables users to collect contributions from relatives or raise funds from other sources.

We furthermore elucidated why pregnancy related care is particularly well suited for a savings scheme like the MHW (page 4, line 87):

Pregnancy and birth-related care seems to be particularly well suited for the use of a MHW as expenses are mostly predictable both in time and amount. However, to our knowledge, there is currently no evidence on the success of application of a MHW specifically for maternal health care.

5. Line 146 Prior to interview ---- move this to data collection, does not fall under sampling, unless if the data were used to decide who could be interviewed.

-> We have moved the information on participants and topics to the data collection section.

6. The data analysis needs to be explained in more detail for the reader to understand how the themes were arrived at and to illustrate an audit trail underpinning the trustworthiness. I like the way the conceptual framework was weaved into the findings. However, it would be good to mention the sub-themes within the broader categories of the conceptual framework

-> We thank the reviewer for this suggestion to explain the details of our data analysis. We have thus added more details on how the analysis was performed (page 9, line 201):

Transcripts were analyzed by two researchers (NM, AF) who developed a codebook which was validated by a senior qualitative research expert (SM) (30). Each set of data was analyzed at least twice. Thematic coding was applied by using a partially deductive approach, informed by findings from a previous study, and an inductive coding technique with creation of themes as they emerged from the transcripts (13). Analysts convened regularly to debate differences in coding and interpretation. During the analysis process, when new codes emerged, coders discussed the new findings and transcripts were recoded as the codebook was refined.

In the data analysis section, we now provide more information on themes and subthemes that emerged during the process (page 9, line 217):

(i) Institutional and policy: Influences of the current health care system and implications of national and local laws and policies. Sub-themes include previous experience with mobile payment schemes, implications by the existing service payment system, potential conflicts with external service providers and legal and technical factors with implications on the MHW.

(ii) Interpersonal and community: Factors by formal and informal social networks and social support systems. Subthemes describe interpersonal and cultural influences on decision-making, influences by applied saving methods and factors related to communication strategies.

(iii) Individual: Factors and characteristics of the individual that influence behavior, expectations and attitude towards the MHW. Subthemes focus on the minimum prerequisites for access and factors influencing the individuals’ decision-making.

7. Line 170 - gender and distribution - can this be put in a table format? it would be easier to read in a table format.

-> We have created a new figure (Figure 1) to depict the gender distribution of participants (cf. response to comment 4 by reviewer 1).

8. The discussion should highlight the limitations of the MHW given the low socioeconomic status of most of the pregnant mothers as well as the absence of handsets and the literacy rates. The illiteracy was mitigated well by suggestions of use of illustrations for health education. Or perhaps given these findings this is something that should be tried with a middle-income cohort of pregnant women?

-> We thank the reviewer for this important concern. We entirely agree, that socioeconomic status is potentially reducing access to the MHW and added this important limitation to the corresponding section 8page 19 line 469):

Although the MHW's primary goal is to reduce barriers to health care services for populations most in need, women from the lower socioeconomic strata, including women who lack basic school education and/or the means to afford a mobile phone or SIM card, might not sign up to the MHW. To minimize health inequities, we strongly recommend more research on prevailing prerequisites of access, leading to a more inclusive design of the MHW.

We also added this point to the conclusion section (page 20, line 483):

More research is needed to address factors determining access to health care services among pregnant women from lower socioeconomic strata in more detail.

9. The suggestion of several people using a handset should take into consideration issues of confidentiality. I wish this question had been posed to the participants to hear their take on it. In my experience, many men would not want to share a phone with a woman.

-> We unfortunately didn’t pose this question to the study participants. Results from our previous study among pregnant women and young mothers in the same study area showed that close to 30% of women do not own a personal phone but have regular access to a family phone. We added this finding to the discussion section (page 18, line 418):

Based on these contradictory but potentially fundamental findings and the prevailing reality of adult illiteracy in the Malagasy population, we strongly suggest applying an image-based knowledge dissemination strategy and alternatively offering verbal announcements and voice calls to convey basic program information. {…} However, it needs to be considered that a single SIM card for several people raises concerns of confidentiality and security of individual savings. We therefore suggest making SIM cards largely available to pregnant women even without owning a phone as they can be inserted and removed easily with any handset, thus mitigating the aforementioned privacy concerns.

We furthermore stressed the fact that all personal data and access to funds are connected to the SIM card which can be removed and kept individually, minimizing the issue of confidentiality. We have further clarified this in the following sentence in the introduction section (page 4, line 95):

Personal data and funds on the MHW are linked to an individual SIM (subscriber identity module) card which can be used with any type of handset independent of smartphone capability or internet access.

10. This was an interesting study that puts a different spin to mHealth and health insurance, as the women would be in control of the money, not the health insurance.

-> We thank the reviewer for this encouraging comment and the recognition of the ultimate aim of our work, which is to empower vulnerable populations to access essential maternal health care.

Attachment

Submitted filename: Response to reviewers.pdf

Decision Letter 1

Sharon Mary Brownie

7 Jan 2020

Facilitators and barriers to the implementation of a Mobile Health Wallet for pregnancy-related health care: a qualitative study of stakeholders’ perceptions in Madagascar

PONE-D-19-28907R1

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Acceptance letter

Sharon Mary Brownie

10 Jan 2020

PONE-D-19-28907R1

Facilitators and barriers to the implementation of a Mobile Health Wallet for pregnancy-related health care: a qualitative study of stakeholders’ perceptions in Madagascar

Dear Dr. Muller:

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Associated Data

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

    Supplementary Materials

    S1 Appendix. Questions asked to participating stakeholders from different levels.

    (PDF)

    Attachment

    Submitted filename: Response to reviewers.pdf

    Data Availability Statement

    As the datasets contain sensitive and potentially identifying individual information, they are available to qualified researchers upon request from the Ethics Committee of Heidelberg University (Ethikkommission der Medizinischen Universität Heidelberg), Alte Glockengießerei 11/1, 69115 Heidelberg, Phone: +49 (0) 6221 562646-0.


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