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This commentary highlights various definitions of maternal and newborn health care providers used globally and demonstrates the considerable effect of a definition on study findings.
Standard definitions (eg, qualified, skilled or trained) are helpful, but the use of these terms alone might give a spurious sense of consistency, when nuanced characteristics of providers could be lacking in a specific setting.
We recommend that provider definitions should explicitly state who (designations) are involved, where (context) and when (any relevant time-specific systemic changes that could potentially impact service delivery) to complement the standard definitions.
In the global maternal and newborn health (MNH) literature, care providers have been classified in several ways, engendering the question—whether providers who care for the mother and her newborn(s) have the necessary training and skills to provide quality care. This question underscores the importance of clearly defining who provided care. A specific definition not only facilitates correct interpretation of findings but helps understand potential reasons behind successes or failures of MNH interventions. Additionally, in low- and middle-income countries (LMICs), providers who routinely attend deliveries often receive varying levels of training, even within the same classifications. This inconsistency can result in incomparable estimates of skilled birth attendance, an indicator used to reference MNH care globally.
This commentary emphasises the importance of a provider definition that is beyond the use of standard terminology like qualified, skilled or trained. We begin by reviewing the common definitions used globally, then demonstrate, using an example, the effect of definition on study findings. MNH care provider definitions should include who was involved (eg, education and training, licensing, experience and the signal function responsibilities for each provider category), where care was provided (eg, level of the facility, facility vs outreach, current national regulations for adequate contextual description) and when to describe any recent event that might have impacted the provision of care (eg, a recent training to improve and certify provider skills, a current inclusion of a new classification to provide MNH services). A definition that is relevant to national regulations and reflects on-the-ground grassroots is often selected by MNH researchers and practitioners, especially in LMICs, where chronic shortages of clinicians prevail and job classifications ranging from obstetricians to community health aides are involved in providing care.1 However, the standard definitions alone may not suitably characterise the capacities of MNH care providers, across countries. Furthermore, the delineation between skilled and unskilled providers is generally clear at either end of the scale—that is, physicians, nurses and midwives are considered skilled, while traditional birth attendants are considered unskilled.2 3 It is nebulous for those in the middle—for example, matron, a functional cadre of birth attendants in West Africa relevant to this day.
Provider definitions
Providers in high-income settings have been referred to as qualified health professionals. In 2013, the American Medical Association defined ‘a physician or other qualified healthcare professional as an individual who is qualified by education, training, licensure/regulation (when applicable) and facility privileging (when applicable) who performs a professional service within his/her scope of practice and independently reports that professional service’.4 The European Union recognises doctors of medicine, general nurses, midwives, dentists and pharmacists as qualified healthcare professionals.5 In 2017, the Organization for Economic Co-operation and Development (OECD), the Eurostat and the WHO revised the classifications of healthcare providers, implicitly incorporating ‘who’ and ‘where’.6 The comparability of healthcare settings (‘where’) across countries within the high-income category renders a basic degree of consistency that is unlikely to exist across LMIC. Thus, other definitions exist to facilitate universal comparison as well as to measure attainment of global goals.
The Sustainable Development Goal (SDG) 3.1.2 has the proportion of births attended by skilled personnel as a target. In 2018, the WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA issued a joint statement and revised the 2004 definition of skilled personnel.3 7 The revision defined skilled personnel as competent MNH professionals educated, trained and regulated to national and international standards and included midwives, nurses, obstetricians, paediatricians and anaesthetists. However, the revised definition also stated, ‘In different countries, these competencies are held by professionals with varying occupational titles’, leaving room for the inclusion of other titles not listed in the definition.3 The rationale for the 2018 revision was to provide a uniform basis across countries for robust measurement of SDG targets. A review showed that 21 different cadres, with varying lengths of training and signal function responsibilities, were grouped as skilled providers.1
A close alternative to ‘skilled provider’ is ‘trained provider’, used by the Demographic and Health Surveys (DHS) to estimate MNH indicators. These indicators are frequently used as benchmarks to assess a country's progress toward global health targets. The DHS define trained providers as doctors, nurses, midwives and matrons. The key distinction with the skilled provider is the inclusion of matrons. Matrons, esteemed for their expertise and traditional knowledge, play a pivotal role in MNH care across Africa, including Guinea, Niger, Mali, Senegal and Togo.8–12 Recent DHS across West Africa show a high but variable prevalence of matrons, ranging from 63% in Nigeria to 98% in Burkina Faso.13 This variability reflects the diverse healthcare landscapes and cultural contexts in which matrons operate.
These definitions are critical to uniformly measure international progress in MNH care. However, using only these terminologies may not sufficiently describe the ground situation in a place. We demonstrate this point using a case from Mali.
ProCCM study example
We used data from the Proactive Community Case Management (ProCCM) cluster randomised trial to illustrate the importance of a specific definition of the provider. The trial evaluated whether proactive case detection home visits by community health workers (CHWs) can improve reproductive, maternal and child health indicators at a population level, compared with services delivered only through a fixed health post. Both of these modes were supplemented with a package of services designed to remove financial, geographical and clinical barriers to care.14 The trial was conducted in Bankass Health District in Mali, between 2016 and 2020. Eligible participants were women between 15 and 49 years who were permanent residents of the study area with no plans to relocate for the duration of the trial. The primary outcome was under-5 mortality along with several secondary outcomes,14 including institutional delivery.15
In Mali, an institution was defined as a national, regional or referral hospital, dispensary, maternity home, primary health centre and private hospital or clinic.15 Following the DHS definition of a provider in Mali, we included doctors, nurses, midwives, matrons or a CHW. Our choice of provider definition was necessitated to maintain consistency with the DHS because it was the primary source of information that informed the design of the trial, including sample size; we additionally included CHWs in this group given the level of training and support they received through the intervention. A complete description of the methods and findings is presented elsewhere.15 Here, we used the same analytical methods but a modified provider definition where matrons were included in the unskilled category and doctors, nurses, midwives or CHWs were considered skilled providers. The origin of the cadre of matrons and their role have evolved over the last several decades in Mali.16 We compared institutional delivery between trial arms as well as between the baseline and the intervention period. Data were collected from annual household surveys at baseline and approximately at 12, 24 and 36 months after the start of the intervention. For the comparison between arms, we included data from the 24-month and 36-month surveys because, for deliveries reported in the 12-month survey, some period of the pregnancy likely occurred in the pre-intervention period.
The proportions of institutional delivery with matron as a skilled provider were 59% and 57% in the intervention and control arms, which changed to 30% and 29% when matrons were considered unskilled providers, respectively (table 1). For each trial year, the proportions of institutional delivery conducted by matrons only were largely similar across the two arms, although, compared with the baseline, it decreased by about 30 and 20 percentage points in years 2 and 3, respectively (figure 1).
We previously reported no evidence of an effect of the ProCCM intervention on institutional delivery in the last 2 years of the trial, considering the matron as a skilled provider (table 1).15 Considering the matron as an unskilled provider does not change the previous results (table 1). However, it does change the interpretation of the extent to which the ProCCM intervention affected the uptake of skilled assistance among institutional deliveries in trial years 2 and 3 compared with the baseline. During the last 2 years, the likelihood of a participant delivering in an institution with skilled assistance was 1.54 times (95% CI: 1.41 to 1.66) the likelihood of delivering in an institution at baseline, which increased to 2.46 (95% CI: 2.14 to 2.81) when matrons were considered as unskilled providers (table 1).
In Mali, the proportion of institutional deliveries conducted by matrons (who) declined during the ProCCM trial, compared with the baseline, in part, because around the time of the trial (when) Muso hired and trained a significant number of health personnel and deployed them across all (intervention and control) clusters. Consequently, institutional deliveries conducted by matrons decreased uniformly across all clusters. Thus, we did not observe a difference by trial arms but observed a big change over time (ie, between the intervention period and the baseline).
This example provides empirical evidence about the effect of provider definition on results. It is essential to understand how each type of provider is defined internationally and what is the closest match with the national definition in order to align the two. In the local context, a provider may have a designation that is misaligned with international definitions, which does not necessarily make an experienced group unskilled. However, the context (where) should be adequately explained for broader comparisons and interpretation. Currently, there are settings where providers with adequate competencies are not designated to perform EmONC signal functions because of lacking matching legislation, while in others, especially in South Asia, unskilled providers perform EmONC signal functions.1 17 Evidence also suggests that engaging CHWs can increase births with skilled assistance,18 though this cadre is not considered skilled.3
The standardised definitions of MNH providers are necessary to enable international comparisons. Despite the existence of these definitions, ambiguity exists in the global literature in terms of which provider classifications constitute these definitions in different countries. The use of standard terminology while necessary may not be sufficient by itself. It might even give a spurious sense of consistency if the underlying classifications that provide MNH care in a setting are inconsistent with the international definitions. Explicitly stating who (designations, trainings) are involved in providing care, where care was provided (context) and when (any relevant time-specific systemic changes that have the potential to impact MNH service delivery) will increase the interpretability, transparency and replicability of evidence.
Data availability statement
Data are available upon request. Deidentified data for the empirical case presented in this commentary can be made available on reasonable request. Please contact Maud Amon-Tanoh at Muso, mamon@musohealth.org.
Ethics statements
Patient consent for publication
Ethics approval
This study involves human participants and The University of California, San Francisco exempted secondary analysis of the data from ethical approval. The study received ethical approval from the Ethics Committee of the Faculty of Medicine, Pharmacy and Dentistry at the University of Bamako. Informed consent from all household survey respondents was obtained prior to enrolment in the study. If the respondent was a minor, her parent’s or guardian’s consent was obtained. All methods used in the study were performed in accordance with the relevant Malian and US guidelines and regulations. Participants gave informed consent to participate in the study before taking part.
Footnotes
Handling editor Valery Ridde
Contributors RG analysed and drafted the manuscript and is responsible for the overall content (guarantor) of the manuscript. ET and JXL contributed to the analysis and interpretation of the data. RG, KK, JB, BT, ET, AJ and JXL led to data collection, cleaning and compilation. SR helped with literature search, data cleaning and formatting. RG, KK, JB, BT, SR, ET, AJ and JXL reviewed and provided suggestions to the manuscript. AJ and KK secured funding.
Funding The trial was funded with resources received by Muso through unrestricted funding as well as dedicated research funding from Child Relief International Foundation, Grand Challenges Canada (awards 1808-17345 and TTS-2002-37264), Johnson & Johnson Foundation (awards 85442 and 82844) and USAID Development Innovation Ventures (grant number 7200AA20FA00020). Child Relief International Foundation served as the nonlegal sponsor of the trial. Grant no is not applicable. The funders had no role in the design, analysis, or interpretation of the trial and its results.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.