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Purpose: Patient-reported outcomes and experiences (PRO) data are an integral component of health care quality measurement and PROs are now being collected by many healthcare systems. However, hospital organizational capacity-building for the collection and sharing of PROs is a complex process. We sought to identify the factors that facilitated capacity-building for PRO data collection in a nascent quality improvement learning collaborative of 16 hospitals that has the goal of improving the childbirth experience. Description: We used standard qualitative case study methodologies based on a conceptual framework that hypothesizes that adequate organizational incentives and capacities allow successful achievement of project milestones in a collaborative setting. The 4 project milestones considered in this study were: (1) Agreements; (2) System Design; (3) System Development and Operations; and (4) Implementation. To evaluate the success of reaching each milestone, critical incidents were logged and tracked to determine the capacities and incentives needed to resolve them. Assessment: The pace of the implementation of PRO data collection through the 4 milestones was uneven across hospitals and largely dependent on limited hospital capacities in the following 8 dimensions: (1) Incentives; (2) Leadership; (3) Policies; (4) Operating systems; (5) Information technology; (6) Legal aspects; (7) Cross-hospital collaboration; and (8) Patient engagement. From this case study, a trajectory for capacity-building in each dimension is discussed. Conclusion: The implementation of PRO data collection in a quality improvement learning collaborative was dependent on multiple organizational capacities for the achievement of project milestones. Significance: Patient-Reported Outcomes (PRO) are measures of a patient's health status. PROs are self-reported and do not require interpretation by the provider. PROs are being collected by many healthcare systems as a patient-centered approach to measuring and reporting healthcare quality. This case study outlines the critical issues involved in collecting PRO data and identifies the factors that facilitate capacity-building for PRO data collection. It provides an example of how the PRO data could be applied to improve patient satisfaction with the childbirth hospital experience. [ABSTRACT FROM AUTHOR]

The objective of this study is to explore the associations between the patient-reported Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire (PHQ)-9 and clinician-reported 17-item Hamilton Depression Rating Scale (HAMD-17) in order to facilitate clinical decision-making. An integrated efficacy dataset of three randomized placebo-controlled trials (NCT02614547, NCT02942004, and NCT02942017) evaluating brexanolone injection, a neuroactive steroid chemically identical to allopregnanolone, in women with postpartum depression was used for this post hoc analysis. Data were pooled across treatment arms. Associations were assessed at day 30 (end-of-trial follow-up). Pearson correlation assessed the relationship between EPDS and PHQ-9 item and total scores and HAMD-17 total score. Cohen's kappa assessed agreement of EPDS remission (score < 10) and PHQ-9 remission (score < 5) with HAMD-17 remission (score ≤ 7). Ordinary least squares (OLS) regression models were used to develop equations estimating HAMD-17 total scores from EPDS and PHQ-9 scores, respectively. The total scores showed large correlations (HAMD-17/EPDS: r = 0.71, p < 0.001; HAMD-17/PHQ-9: r = 0.75, p < 0.001). Individual EPDS and PHQ-9 items significantly correlated (r= 0.35 to 0.67, all p < 0.001) with HAMD-17 total score. EPDS had 79% sensitivity and 67% specificity to detect HAMD-17 remission; corresponding estimates for PHQ-9 were 76% and 78%. OLS models yielded the following equations: HAMD-17 total = 2.66 + (EPDS total × 0.87) and HAMD-17 total = 3.99 + (PHQ-9 total × 0.97). There were large and statistically significant associations between patient-reported outcomes (EPDS, PHQ-9) and clinician-reported outcomes (HAMD-17) as clinical improvements were associated with patient-reported symptom improvement. These results provide tools to help translate clinical trial data to clinical practice, thus aiding shared decision-making for this critical population. [ABSTRACT FROM AUTHOR]