| Literature DB >> 33308051 |
Anteneh Asefa1, Barbara McPake2, Ana Langer3, Meghan A Bohren4, Alison Morgan5.
Abstract
Evidence of the health system challenges to promoting respectful maternity care (RMC) is limited in Ethiopia and globally. This study investigated the health system constraints to RMC in three Southern Ethiopian hospitals. We conducted a qualitative study (7 focus group discussions (FGDs) with providers of RMC and 12 in-depth interviews with focal persons and managers) before and after the implementation of an RMC intervention. We positioned childbirth services within the health system and applied complex adaptive system theory to analyse the opportunities and constraints to the promotion of RMC. Both system "hardware" and "software" factors influencing the promotion of RMC were identified, and their interaction was complex. The "hardware" factors included bed availability, infrastructure and supplies, financing, and health workforce. "Software" factors encompassed service providers' mindset, staff motivation, and awareness of RMC. Interactions between these factors included privacy breaches for women when birth companions were admitted in labour rooms. Delayed reimbursement following the introduction of fee-exemption for maternity services resulted in depleted revenues, supply shortages, and ultimately disrespectful behaviour among providers. Other financial constraints, including the insufficient and delayed release of funds, also led to complex interactions with the motivation of staff and the availability of workforce and supplies, resulting in poor adherence to RMC guidance. Interventions aimed at improving only behavioural components fall short of mitigating the mistreatment of women. System-wide interventions are required to address the complex interactions that constraint RMC.Entities:
Keywords: complex adaptive system; health system; respectful maternity care; system hardware; system software
Year: 2020 PMID: 33308051 PMCID: PMC7888043 DOI: 10.1080/26410397.2020.1854153
Source DB: PubMed Journal: Sex Reprod Health Matters ISSN: 2641-0397
Description of important concepts
| Concepts | Description* |
|---|---|
| Complex adaptive system | A type of system which comprises diverse agents (complex), and where the behaviour of each agent is responsive to the interactions with other agents within the system (adaptive) |
| Self-organisation | The way in which agents interact to coordinate their own forms, or patterns of behaviour arising from repeated agent interactions over time |
| Nonlinearity | The heterogeneous and multiple levels of interaction between agents which makes agent response unpredictable |
| Feedback loop | Recursive mechanisms as a result of multiple agent interactions over time that create reciprocal behaviour either reinforcing (positive feedback loop) or undermining (negative feedback loop) each other |
| Emergence | New system behaviours (larger entities) generated by the interactions of smaller or simpler entities |
| Path Dependence | Past experiences influence the responses to new events |
| System hardware | Constituent of health system that includes human resources, financing, technology, service delivery, infrastructure, and supplies |
| System software | Constituent of health system that includes tangible (leadership, management, and governance knowledge and skills, rules and procedures) and intangible (values and norms, power relationships, and information communication) elements that interplay with system hardware elements to influence the system |
*Source: Modified from Braithwaite et al.[32]; Gear et al.[26]; Gomersall et al.[23]; and Sheikh et al.[33].
Profiles of study hospitals
| Characteristics | Hospital I | Hospital II | Hospital III |
|---|---|---|---|
| Location (urban/rural) | Urban | Semi-urban | Semi-urban |
| Catchment population | 359,358 | 261,271 | 267,589 |
| Expected pregnancies in the catchment | 12,434 | 9,040 | 9,259 |
| Number of public hospitals in the catchment (including current one) | 03 | 01 | 01 |
| Number of health centres in the catchment | 05 | 09 | 11 |
| Total number of births attended in the last quarter of 2017 | 1081 | 433 | 713 |
| Total number (%) of caesarean births in the last quarter of 2017 | 164 (14.9) | 62 (14.3) | 138 (19.4) |
| Upgraded from a lower-level facility (Yes/No) | Yes | Yes | No |
| Number of labour wards | 02 | 01 | 01 |
| Total number of beds in the labour ward | 10 (5 in each) | 05 | 05 |
| Number of delivery rooms | 01 | 01 | 01 |
| Total number of birthing beds in the delivery room | 04 | 04 | 3 |
| Type of delivery room (Partitioned/Non-partitioned)* | Non-partitioned | Non-partitioned | Non-partitioned |
| Number of functional showers in the labour ward | 0 | 02 | 01 |
| Number of functional handwash basins in the labour ward | 01 | 02 | 01 |
| Designated waiting area for accompanying family members (Yes/No) | Yes | Yes | Yes |
*Open plan with multiple beds per room with no curtains/partitions.
Description of the RMC intervention
| Component | Description | Participants | Intervention period |
|---|---|---|---|
| RMC training | The RMC training manual included contents on an overview of maternal health in Ethiopia; human rights and law in the context of reproductive health; RMC rights and standards; professional ethics; and continuous quality improvement. | 64 service providers at the participating hospitals who assist women during childbirth (in two rounds) | First round: |
| Wall posters | Four wall posters
The universal rights of childbearing women prepared by the White Ribbon Alliance (one poster) Infographics taken from the intrapartum care for a positive childbirth experience guideline prepared by the WHO (three posters) | ||
| Onsite supportive supervision | Two rounds of post-training quality improvement supportive supervision were conducted to appraise the action plan implementation, and to set actions for the next cycle with the long-term aim of developing a culture of continuous quality improvement actions. | All (64) service providers who attended the RMC training. (There were service providers who attended both rounds of the supervision.) | First round: June 2018 |
Summary of participants and topic areas investigated during FGDs and IDIs
| Category | Facility | No. of FGDs/IDIs | Total no. of participants* | Topic areas explored |
|---|---|---|---|---|
| Pre-intervention FGDs | Hospital I | 2 | 16 (14 midwives, 2 nurses) | Features of quality maternity care; twice and perception of mistreatment; twice and perception of respectful care; contributors to mistreatment; challenges experienced in labour wards; motivators and demotivators to provide respectful care; actions required to promote respectful care |
| Hospital II | 1 | 8 (7 midwives, 1 integrated emergency surgical officer) | ||
| Hospital III | 1 | 8 (7 midwives, 1 health officer) | ||
| Post-intervention FGDs | Hospital I | 1 | 7 (6 midwives, 1 nurse) | Perceived behavioural influences of the training; challenges encountered, and new behaviours emerged in implementing the training; additional actions required to implement the training; partakers of RMC |
| Hospital II | 1 | 8 (8 midwives) | ||
| Hospital III | 1 | 6 (5 midwives, 1 general practitioner) | ||
| Pre-intervention IDIs | Hospital I | 4 | 4 (MCH** coordinator, quality focal person, medical director, and chief executive officer) | Features of quality maternity care; twice and perception of mistreatment; twice and perception of respectful care; contributors to mistreatment; perceived status of respectful care; respectful care initiatives; challenges in advancing respectful care |
| Hospital II | 4 | 4 (MCH coordinator, quality focal person, medical director, and chief executive officer) | ||
| Hospital III | 3 | 3 (MCH coordinator, quality focal person, and medical director) | ||
| Regional health bureau | 1 | 1 (senior maternal health expert) |
*Most FGD participants were midwives because 80% of service providers who assist women during childbirth in the study hospitals were midwives.
**MCH: Maternal and child health.
Figure 1.Causal loop diagram of factors influencing respectful maternity care in hospitals*
Notes: “+” sign on the blue arrows indicates the causing variable increases the outcome variable. “−” sign on the blue arrows indicates the causing variable reduces the outcome variable. “R” in the red rotating arrows indicates the variables have a reinforcing effect on each other in the direction of the arrow.