Using data and quality monitoring to enhance maternity outcomes: a qualitative study of risk managers' perspectives.

INTRODUCTION: Risk management is a core part of healthcare practice, especially within maternity services, where litigation and societal costs are high. There has been little investigation into the experiences and opinions of those staff directly involved in risk management: lead obstetricians and specialist risk midwives, who are ideally placed to identify how current implementation of risk management strategies can be improved. METHODS: A qualitative study of consultant-led maternity units in an English region. Semistructured interviews were conducted with the obstetric and midwifery risk management leads for each unit. We explored their approach to risk management, particularly their opinions regarding quality monitoring and related barriers/issues. Interviews were recorded, transcribed and thematically analysed. RESULTS: Twenty-seven staff from 12/15 maternity units participated. Key issues identified included: concern for the accuracy and validity of their local data, potential difficulties related to data collation, the negative impact of external interference by national regulatory bodies on local clinical priorities, the influence of the local culture of the maternity unit on levels of engagement in the risk management process, and scepticism about the value of benchmarking of maternity units without adjustment for population characteristics. CONCLUSIONS: Local maternity risk managers may provide valuable, clinically relevant insights into current issues in clinical data monitoring. Improvements should focus on the accuracy and ease of data collation with a need for an agreed maternity indicators set, populated from validated databases, and not reliant on data collection systems that distract clinicians from patient activity and quality improvement. It is clear that working relationships between risk managers, their own clinical teams and external national bodies require improvement and alignment. Further discussion regarding benchmarking between maternity units is required prior to implementation. These findings are likely to be relevant to other clinical specialties.

Development of maternity dashboards across a UK health region; current practice, continuing problems.

OBJECTIVE: To assess the development of local clinical dashboards in line with UK national guidance and to identify ongoing issues being faced by maternity units, across an entire health region, in developing quality assurance systems. STUDY DESIGN: A mixed-methods study involving all consultant-led maternity units in the South West of England Strategic Health Authority region (SWSHA). An electronic survey, followed by semi-structured interviews with the lead obstetrician and risk management midwife (or equivalent) of each maternity unit, to investigate methods employed to monitor outcomes locally, particularly the development of tools including maternity dashboards. Interviews were audio recorded, transcribed and thematically analysed to identify conceptual categories and themes. RESULTS: 12/15 eligible consultant-led maternity units participated in the study and 10/12 (83%) of these used a dashboard. There was an excessive number of non-standard indicators used by the maternity units, with 352 different quality indicators (QIs), covering 37 different indicator categories, with up to 39 different definitions for one particular QI. Issues identified were: an excess of indicators, disproportionate time taken to produce the dashboard, uncertainty surrounding thresholds for alert within the dashboards and a desire for more guidance and standardisation of indicators, and their use. CONCLUSIONS: Following recommendation by the Royal College of Obstetricians and Gynaecologists, maternity dashboards have been widely adopted by maternity units across the SWSHA to provide a local quality assurance system. There is, however, wide variation in both the quality indicators monitored and their definition. There is an urgent requirement for a national and international core set of maternity QIs. Further guidance is also required to inform alert thresholds for adverse outcomes. These perinatal data are collected electronically, and automating the production of a standardised dashboard is both possible and desirable.

Teamwork for clinical emergencies: interprofessional focus group analysis and triangulation with simulation.

Our purpose was to investigate health care professionals' beliefs about effective teamwork in medical emergencies based on their experiences. We used framework analysis of interprofessional focus groups in four secondary and tertiary maternity units. The participants were randomly selected senior and junior doctors, senior and junior midwives, and health care assistants, in five groups of 5 to 7 participants each. We found that optimal teamwork was perceived to be dependent on good leadership and availability of experienced staff. The participants described a good leader as one who verbally declares being the leader, communicates clear objectives, and allocates critical tasks, including communication with patients or their family, to suitable individual members. We triangulated the results with evidence from simulation to identify convergent findings and issues requiring further research. The findings will inform the development of teaching programs for medical teams who manage emergencies to improve patient safety and experience.