Using Audit Data to Improve Respectful Maternity Care
A district hospital midwifery unit has 1,400 births a year. A six-month audit shows primary caesarean birth at 28 percent (regional 18 percent), episiotomy at 34 percent among nulliparous women (target below 20 percent), and skin-to-skin contact within five minutes at 41 percent. There were 11 complaints: seven about being left alone in labour and three about not being told what was happening. Night staffing is one midwife for eight labouring women, with two vacancies. Staff say they have no time to document. In a family survey, 60 percent felt involved in decisions. The unit manager asks a midwife-led quality group for a three-month plan with a very limited budget. The group must choose priorities, design tests of change, and measure whether care improves without blaming frontline staff.
1. Which problem should the quality group tackle first, and how should it use the data?
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The group should not try to fix every indicator at once. Primary caesarean birth is important but complex and affected by case mix, referral patterns, and obstetric decision-making. The complaints about being left alone and not being told what was happening are frequent, directly linked to respectful care, and potentially changeable with low-cost communication and workflow changes. The group should therefore choose one or two aims for the first cycle, such as improving communication before interventions and increasing skin-to-skin within five minutes, while continuing to monitor episiotomy and caesarean rates.
The data should be validated and stratified before conclusions are drawn: by shift, parity, provider, and case mix. The group should check whether the audit definitions match the clinical records. It should read the complaints for themes rather than counting them only. Staff should be asked what makes communication difficult at night. The reasoning is that improvement starts with a specific, measurable aim and a clear process, not with a general instruction to do better.
2. Design a three-month PDSA plan with measures.
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A first Plan-Do-Study-Act cycle could test a short bedside communication script and a whiteboard in each room showing the plan, the named midwife, and what will happen next. The plan should run for two weeks on one shift, with a named lead, a start date, and a simple data sheet. In the Do phase, staff record whether the script was used and women complete a three-question survey. In Study, the group compares results with the previous month and looks for unintended effects, such as longer handovers. In Act, the script is adapted, spread to another shift, or abandoned.
Measures should include a process measure (percentage of women told the plan before an examination), an outcome measure (percentage feeling involved in decisions), and a balancing measure (staff overtime or delays). A run chart is enough; a full statistical analysis is not needed. For episiotomy, a parallel cycle could test a second-opinion prompt and a skills drill, with the rate measured monthly. The reasoning is that small, rapid cycles generate learning without requiring a large budget.
3. How should the group engage staff and families and address the staffing constraint?
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Staff should be involved from the start: ask them what would make the change workable, test on one shift, and share results without blame. A named midwife should be visible, and successes should be recognised. Families should be involved through a small patient partner group or structured feedback, not only through complaints. The group should report back to women what changed as a result of their feedback.
The staffing constraint must be handled honestly. One midwife for eight labouring women at night is a safety concern, and the improvement plan should not be used to disguise it. The group should present the staffing data and incident trends to senior leadership and request a formal review. Meanwhile, low-cost changes can still be tested, but if the unit cannot provide safe care, the group should escalate rather than normalise the risk. The reasoning is that quality improvement addresses systems, and a system that is unsafe needs resources and escalation, not only individual effort.