MIDWIZE - Strengthening Midwives

Traditionally, Quality Improvement (QI) initiatives in healthcare have often centered on the implementer's viewpoint, neglecting the active involvement of staff in shaping or leading interventions, or viewing them merely as passive objects resistant to change. Previous research in QI and organizational development indicates that when individuals or teams identify and take ownership of problems, the resulting actions are more effective and sustainable, as opposed to when solutions are imposed externally. Thus, our hypothesis was that by empowering midwives to spearhead change initiatives, involving them in the co-creation of interventions to ensure relevance and ownership, and equipping them with QI leadership and practical skills, midwives would effectively enhance healthcare service quality, foster the adoption of evidence-based practices, and ultimately improve health outcomes for women and newborns.

MIDWIZE is a model based on multisectoral collaboration to enhance evidence-based practices through Midwife-Led Care (MLC) and interdisciplinary teamwork.

Focusing on midwives as the primary health care providers at all levels of a country's maternal and reproductive health care system is an elementary part of the MIDWIZE model. Utilising midwives' potential through MLC facilitates relational, safe, cost-effective, and patient-centred care.

When additional support is required, the MLC needs to be provided in an environment that successfully takes advantage of different clinical professions' competencies. Working towards shared goals and having a clear understanding of each team member's responsibilities in an interdisciplinary team are central factors for utilising human and financial resources.

At the heart of the MIDWIZE model is enhancing the use of evidence-based practices and international guidelines for maternal and newborn health care - focusing on a healthy mother, a healthy child, a positive birth experience, and respectful care. The Z in MIDWIZE stands for the importance of "Zero separation" between the mother/birthing parent/caregiver and newborn in the early postpartum period - an evidence-based practice enhancing neonatal health outcomes, breastfeeding, and the bonding between mother/birthing parent/caregiver and child.

A prerequisite to sustainably implement or enhance these elements in a country's health system is to establish multisectoral collaborations between the four sectors (i) education, (ii) regulation, (iii) associations, and (iv) civil society. Also, the broader health system and its decision- and policymakers' readiness must be considered to create a sustainable system with continuous quality improvements within the education, regulation, and associations sectors.

General objective - this PhD project aims to explore how midwives can co-create and lead QI within midwifery and how this impacts the uptake of evidence-based practises and health outcomes for women and newborns.

Sub-study 1 - Co-creating and developing the intervention and the implementation Rationale: The involvement of stakeholders in the development of complex interventions is essential to ensure that the intervention and process are relevant, acceptable, and user friendly.

Specific objective: Describe the co-creation process and explore the needs and determinants of a midwife-led quality improvement targeting evidence-based midwifery practices.

Research Question: How do multisectoral stakeholders describe ways to implement the MIDWIZE model, how can the model be adapted to the local context and what strategies for implementation should be taken? (As the remaining parts of the intervention will be co-created, the following parts are preliminary)

Sub-study 2 - Implementation and evaluating the sustainability of the implementation Rationale: This study will explore how midwives can take the lead in implementing or enhancing evidence-based practical components of maternal care. Long-term sustainability is vital in order to maximise the potential benefits of implementation. Therefore, this study will, apart from measuring the midwives' QI projects' during the implementation phase, also measure the long-term impact six months after the project has ended. Based on the co-creation, the Midwize intervention targets three evidence-based practices where a gap between evidence and practice existed: dynamic birth positioning, empowering women in decision-making about birth positions, perineal protection, and intrapartum support. Spearheaded by a team of midwives known as the "Midwize Ambassadors," this seven-month quality improvement initiative was co-developed with expert guidance in quality enhancement and practical midwifery skills. Employing Plan-Do-Study-Act (PDSA) cycles aligned with the Model for Improvement framework, the intervention adopted a train-the-trainer methodology and conducted weekly online support sessions.

Aim: To investigate the process of a midwife-led QI intervention and the uptake of evidence-based midwifery practises.

Sub-study 3 - Outcomes Aim: To investigate the outcomes of a midwife-led QI intervention targeting evidence-based midwifery practises.

Sub-study 3 - Scaling up Aim: To explore how the Midwize intervention can be scaled up at other facilities in Kampala and what the health outcomes are for women and newborns.

Methodology Study Site Naguru maternity unit in Kampala, Uganda, is a public facility with 9000 births/year.

Study design and data collection The overall study design is a longitudinal observational study. Sub-Study 1

Focus Group Discussions (FGD) and workshops will be held in three steps:

1. Clinical staff (e.g., midwives, nurses, obstetricians, and assistant nurses), stakeholders at professional associations, academia (e.g., midwife educators, researchers, and students), and decision-makers (e.g., staff at ministry of health and hospital managers) will be included (n=36, divided into six groups). Barriers and facilitators for multisectoral collaboration will be highlighted during the workshops.
2. Members of the civil society (e.g., the projects main stakeholder - the childbearing women and their relatives) will be included in order to deliver an adequate and acceptable intervention (n=36, divided into six groups).
3. Clinical staff and managers will be included to investigate the practical implementation aspects of the project and the birth unit's adherence to national policies and clinical guidelines (n=21, divided into three groups).

Sub-Study 2 Quantitative data will be collected during and after implementing the quality improvement components. The post-measurement data will be collected on the chosen components three and six months after project implementation to measure if the midwife-led quality improvement project has been sustained.

Data is collected through observations during birth and interviews with women.

Sub-study 3: Same data will be used as for Sub-study 2 Sub-study 4: Same as in sub-study 2 but at two new intervention sites and one control site.

Sample size Sub-Study 1 Part 1 - n=36 (Clinical staff, professional associations, academia, decision-makers) Part 2 - n=36 (childbearing women and their relatives) Part 3 - n=21 (clinical staff and managers) Sub-Study 2 and 3 As this is a quality improvement project, the number of participants depends on when the targeted goal is accomplished and the total number of participants can therefore not be decided on beforehand. The targeted goal for the specific unit will be decided in dialogue with staff and management.

However, a preliminary calculation with an estimated increase of the components by 25% would suggest a minimum of 266 women during the intervention and 266 women six months after the intervention to measure the long term sustainability.

Based on previous studies, the prevalence of the three components in connection with childbirth amounts to 50%. The size of the study population is based on a calculation with 80% strength and a 95% confidence interval. A clinically significant increase in the number of women giving birth with the three components of the intervention and who are satisfied with their delivery is estimated at 25%, i.e. from 50% of women to 75% of women. To achieve this level of strength, a study population of 242 women is required. With an estimated dropout rate of 10%, there will be a study population of 266 women. To study the project's long-term sustainability, a repeated measurement that includes 266 women six months after completing data collection 2 will be done.

Measurement during the implementation phase - n=266 (birthing women) Post measurement - n=266 (birthing women)

Sampling procedure Sub-Study 1 Part 1 - A targeted selection process will be applied, and people will be included based on experience, knowledge and position in the care system (i.e. decision-makers at different levels).

Part 2 - A random sampling will be made with stakeholders of the community (in this case, pregnant women or women who recently gave birth at the clinic) Part 3 - A targeted sampling with clinical staff and managers based on profession and experience

Sub-Study 2, 3 and 4 will include all women above the age of 18 with uncomplicated full-term pregnancies and births (i.e. between weeks 37 + 0 - 42 + 0).

Pre-testing No Pre-testing will be performed as this is a quality improvement project. The data collection for sub-study two will start when the implementation starts. The outcomes will be followed until sufficient data has been achieved.

Field editing of data The research midwife will fill in the data for sub-study 2, 3 and 4 in a data collection protocol, which will be entered electronically.

Missing data. The research midwife of the day will fill in any missing data in dialogue with the clinical staff. Missing data will be continuously monitored as the data sampling will be reported online (via a secured 2-step verification platform approved to share research data).

Data Management Computer packages to use. SPSS Quality control In the qualitative parts of the project, the trustworthiness of the data will be ensured by recording interviews and FGD, transcribing verbatim, triangulation by including other researchers in the team in the analysis, regular discussions on the analysis to reach a common understanding within the team.

The quantitative data quality will be checked by random control samples made by members of the research group. A statistician will be consulted during the analysis and an electronic logbook will be kept in order for external researchers to check the procedure.

Data Analysis Presentation of data The findings will be published in peer-reviewed academic journals.

Analysis Techniques Sub-Study 1 - Thematic analysis, according to Braun \& Clark (2006) Sub-Study 2, 3 and 4 - SPSS will be used for descriptive and comparative analysis of the data