Quality Improvement with Outcome Data in Integrated Obstetric Care Networks: Evaluating Collaboration and Learning Across Organizational Boundaries with an Action Research Approach

Introduction: Patient-reported outcome and experience measures (PROM and PREM) are used to guide individual care and quality improvement (QI). QI with patient-reported data is preferably organized around patients, which is challenging across organisations. We aimed to investigate network-broad learning for QI with outcome data. Methods: In three obstetric care networks using individual-level PROM/PREM, a learning strategy for cyclic QI based on aggregated outcome data was developed, implemented and evaluated. The strategy included clinical, patient-reported, and professional-reported data; together translated into cases for interprofessional discussion. This study’s data generation (including focus groups, surveys, observations) and analysis were guided by a theoretical model for network collaboration. Results: The learning sessions identified opportunities and actions to improve quality and continuity of perinatal care. Professionals valued the data (especially patient-reported) combined with in-dept interprofessional discussion. Main challenges were professionals’ time constraints, data infrastructure, and embedding improvement actions. Network-readiness for QI depended on trustful collaboration through connectivity and consensual leadership. Joint QI required information exchange and support including time and resources. Conclusions: Current fragmented healthcare organization poses barriers for network-broad QI with outcome data, but also offers opportunities for learning strategies. Furthermore, joint learning could improve collaboration to catalyse the journey towards integrated, value-based care

Exploring the applicability of the pregnancy and childbirth outcome set: A mixed methods study

Objective: The International Consortium for Health Outcomes Measurement developed the Pregnancy and Childbirth (PCB) outcome set to improve value-based perinatal care. This set contains clinician-reported outcomes and patient-reported outcomes. We validated the set for use in the Netherlands by exploring its applicability among all end-users prior to implementation. Methods: A mixed-methods design was applied. A survey was performed to assess patients (n = 142), professionals (n = 134) and administrators (n = 35) views on the PCB set. To further explore applicability, separate focus groups were held with representatives of each of these groups. Results: The majority of survey participants agreed that the PCB set contains the most important outcomes. Patient-reported experience measures were considered relevant by the majority of participants. Perceived relevance of patient-reported outcome measures varied. Main themes from the focus groups were content of the set, data collection timing, implementation (also IT and transparency), and quality-based governance. Conclusion: This study supports suitability of the PCB outcome set for implementation, evaluation of quality of care and shared decision making in perinatal care. Practice Implications: Implementation of the PCB set may change existing care pathways of perinatal care. Focus on transparency of outcomes is required in order to achieve quality-based governance with proper IT solutions

Standardized outcome measures for pregnancy and childbirth, an ICHOM proposal

Background: Value-based health care aims to optimize the balance of patient outcomes and health care costs. To improve value in perinatal care using this strategy, standard outcomes must first be defined. The objective of this work was to define a minimum, internationally appropriate set of outcome measures for evaluating and improving perinatal care with a focus on outcomes that matter to women and their families. Methods: An interdisciplinary and international Working Group was assembled. Existing literature and current measurement initiatives were reviewed. Serial guided discussions and validation surveys provided consumer input. A series of nine teleconferences, incorporating a modified Delphi process, were held to reach consensus on the proposed Standard Set. Results: The Working Group selected 24 outcome measures to evaluate care during pregnancy and up to 6 months postpartum. These include clinical outcomes such as maternal and neonatal mortality and morbidity, stillbirth, preterm birth, birth injury and patient-reported outcome measures (PROMs) that assess health-related quality of life (HRQoL), mental health, mother-infant bonding, confidence and success with breastfeeding, incontinence, and satisfaction with care and birth experience. To support analysis of these outcome measures, pertinent baseline characteristics and risk factor metrics were also defined. Conclusions: We propose a set of outcome measures for evaluating the care that women and infants receive during pregnancy and the postpartum period. While validation and refinement via pilot implementation projects are needed, we view this as an important initial step towards value-based improvements in care

What to expect when you're expecting?

In the Netherlands, early risk stratification for pregnancy complications is based on the medical and obstetric history of pregnant women. Pregnant women who are assumed to be at low risk for complications have their pregnancy monitored by a midwife in primary care and those with a medium or high risk have their pregnancy monitored by an obstetrician in secondary or tertiary care. Many pregnant women are referred to secondary or tertiary care during pregnancy or childbirth, for example in case of gestational diabetes (GDM) or preeclampsia (PE). Multivariable prognostic models for the development of such pregnancy complications may be the ultimate tool to improve early risk stratification, which may facilitate tailored and preventive obstetric care to improve pregnancy outcome. The main aim of this thesis was to improve early risk stratification for pregnancy complications to allow for preventive tailored obstetric care, which may ultimately lead to a reduction of maternal and perinatal mortality and morbidity. In this thesis, GDM and PE were addressed and were evaluated whether the use of prognostic models for these outcomes are beneficial for clinical practice. Conclusions The results of the RESPECT study show that prognostic models for GDM and PE can improve early risk stratification in pregnancy and are cost-effective compared to current strategies, which are mainly based on single risk factors. Prognostic models for GDM and PE are therefore ready for implementation, but evidence on the actual impact of these models is needed to verify whether improvement of maternal and perinatal morbidity and mortality can be achieved this way. The findings of this thesis may encourage a similar approach of validating prognostic models for a broader range of pregnancy complications, such as preterm birth or the birth of a small for gestational age neonate

What to expect when you're expecting?

In the Netherlands, early risk stratification for pregnancy complications is based on the medical and obstetric history of pregnant women. Pregnant women who are assumed to be at low risk for complications have their pregnancy monitored by a midwife in primary care and those with a medium or high risk have their pregnancy monitored by an obstetrician in secondary or tertiary care. Many pregnant women are referred to secondary or tertiary care during pregnancy or childbirth, for example in case of gestational diabetes (GDM) or preeclampsia (PE). Multivariable prognostic models for the development of such pregnancy complications may be the ultimate tool to improve early risk stratification, which may facilitate tailored and preventive obstetric care to improve pregnancy outcome. The main aim of this thesis was to improve early risk stratification for pregnancy complications to allow for preventive tailored obstetric care, which may ultimately lead to a reduction of maternal and perinatal mortality and morbidity. In this thesis, GDM and PE were addressed and were evaluated whether the use of prognostic models for these outcomes are beneficial for clinical practice. Conclusions The results of the RESPECT study show that prognostic models for GDM and PE can improve early risk stratification in pregnancy and are cost-effective compared to current strategies, which are mainly based on single risk factors. Prognostic models for GDM and PE are therefore ready for implementation, but evidence on the actual impact of these models is needed to verify whether improvement of maternal and perinatal morbidity and mortality can be achieved this way. The findings of this thesis may encourage a similar approach of validating prognostic models for a broader range of pregnancy complications, such as preterm birth or the birth of a small for gestational age neonate

Prediction models for the risk of gestational diabetes : a systematic review

Background Numerous prediction models for gestational diabetes mellitus (GDM) have been developed, but their methodological quality is unknown. The objective is to systematically review all studies describing first-trimester prediction models for GDM and to assess their methodological quality. Methods MEDLINE and EMBASE were searched until December 2014. Key words for GDM, first trimester of pregnancy, and prediction modeling studies were combined. Prediction models for GDM performed up to 14 weeks of gestation that only include routinely measured predictors were eligible. Data was extracted by the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS). Data on risk predictors and performance measures were also extracted. Each study was scored for risk of bias. Results Our search yielded 7761 articles, of which 17 were eligible for review (14 development studies and 3 external validation studies). The definition and prevalence of GDM varied widely across studies. Maternal age and body mass index were the most common predictors. Discrimination was acceptable for all studies. Calibration was reported for four studies. Risk of bias for participant selection, predictor assessment, and outcome assessment was low in general. Moderate to high risk of bias was seen for the number of events, attrition, and analysis. Conclusions Most studies showed moderate to low methodological quality, and few prediction models for GDM have been externally validated. External validation is recommended to enhance generalizability and assess their true value in clinical practice

Associations between periconceptional lifestyle behaviours and adverse pregnancy outcomes

Background: While the potential adverse outcomes of prenatal exposure to unhealthy lifestyle are widely evidenced, little is known about these exposures in the periconception period. We investigated the associations between lifestyle behaviours and adverse pregnancy outcomes with a unique distinction between preconceptional- and prenatal lifestyle behaviours. Methods: A secondary analysis took place within a prospective multicentre cohort study in the Netherlands, including 3,684 pregnant women. Baseline characteristics and preconceptional and first trimester lifestyle behaviours were assessed through a self-administered questionnaire in the first trimester. Adverse pregnancy outcomes (hypertensive disorders in pregnancy (HDP), small for gestational age (SGA), gestational diabetes (GDM) and spontaneous preterm birth (sPTB)) were reported by healthcare professionals. Data were collected between 2012 and 2014 and analysed using multivariate logistic regression. Results: Women who are overweight, and especially obese, have the highest odds of developing any adverse pregnancy outcome (adjusted odds ratio (aOR) 1.61 (95 % Confidence Interval (CI) 1.31–1.99) and aOR 2.85 (95 %CI 2.20–3.68), respectively), particularly HDP and GDM. Women who prenatally continued smoking attained higher odds for SGA (aOR 1.91 (95 %CI 1.05–1.15)) compared to the reference group, but these odds decreased when women prenatally quit smoking (aOR 1.14 (95 %CI 0.59–2.21)). Women who did not use folic acid supplements tended to have a higher odds of developing adverse pregnancy outcomes (aOR 1.28 (95 %CI 0.97–1.69)), while women who prenatally started folic acid supplements did not (aOR 1.01 (95 %CI 0.82–1.25)). Conclusions: Our results indicate that smoking cessation, having a normal body mass index (BMI) and initiating folic acid supplements preconceptionally may decrease the risk of adverse pregnancy outcomes. Therefore, intervening as early as the preconception period could benefit the health of future generations

Patient-reported outcome and experience measures for quality improvement in pregnancy and childbirth care: a retrospective cohort study

Background Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) can highlight issues that remain unnoticed when using standard clinical quality indicators. However, estimations of the potential power of measuring PROMs and PREMs to identify unrecognised areas suitable for quality improvement are often limited by a lack of reliable real-world data. Here, we report on how the indicator set for PROMs and PREMs that was recently developed by the International Consortium for Health Outcome Measures can change perspectives on quality assessment in women receiving care for pregnancy and childbirth. Methods PROMs and PREMs were captured 6 months after childbirth via an online survey in a single academic maternity unit in the Netherlands between 2018 and 2019. Indicators of abnormality were scored using predefined cut-off values established by a national consensus group. We used regression analysis to identify associations between PROMs, PREMs and healthcare use, and further stratified data to explore the distribution of indicators among relevant patient subgroups. Results Of 2775 questionnaires, 645 were completed and linked to medical health records. Despite only 5% of women reporting overall dissatisfaction with care, suboptimal scores were often found; in birth experience for 32% of the population, and 42% who experienced painful sexual intercourse. Subgroup analysis further revealed associations with relevant indicators of quality of care; inadequate pain relief among women with preterm birth (OR 8.8), pain with sexual intercourse among women undergoing vaginal assisted delivery (OR 2.2) and women living in a deprived area had problematic birth experiences (coefficient -3.2). Conclusion Use of PROMs and PREMs in pregnancy and childbirth care provides new insights on quality of care, resulting in potentially actionable targets for improvement not normally identified with standard clinical quality indicators. Implementation strategies and follow-up are needed to act on these findings.</p