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Objective: To develop a conceptual framework and preliminary item bank for childbirth-specific patient-reported outcome (PRO) domains.Data Sources: Women, who were U.S. residents, ≥18 years old, and ≥20 weeks pregnant, were surveyed regarding their childbirth values and preferences (V&P) using online panels.Study Design: Using community-based research techniques and Patient-Reported Outcomes Management Information System (PROMIS® ) methodology, we conducted a comprehensive literature review to identify self-reported survey items regarding patient-reported V&P and childbirth experiences and outcomes (PROs). The V&P/PRO domains were validated by focus groups. We conducted a cross-sectional observational study and fitted a multivariable logistic regression model to each V&P item to describe "who" wanted each item.Principal Findings: We identified 5,880 V&P/PRO items that mapped to 19 domains and 58 subdomains. We present results for the 2,250 survey respondents who anticipated a vaginal delivery in a hospital. Wide variation existed regarding each V&P item, and personal characteristics, such as maternal confidence and ability to cope well with pain, were frequent predictors in the models. The resulting preliminary item bank consisted of 60 key personal characteristics and 63 V&P/PROs.Conclusions: The conceptual framework and preliminary (PROMIS® ) item bank presented here provide a foundation for the development of childbirth-specific V&P/PROs. [ABSTRACT FROM AUTHOR]

Objective: To develop a methodology to identify indications and normative rates for elective primary cesarean delivery using administrative data.Data Sources/study Setting: All delivery discharges in 1995, as reported to the California Office of Statewide Health Planning and Development (secondary data).Study Design: Retrospective population based study.Data Collection/extraction: Data were entered into a recursive partitioning algorithm to develop a hierarchy of conditions by which patients with multiple conditions could be sorted with respect to the binary outcome of labor or elective primary cesarean without labor. This hierarchy was examined for its clinical consistency, validated on a second sample, and compared with results obtained from logistic regression.Principal Findings: Four percent (19,664) of delivery discharges in 1995 underwent elective primary cesarean. Twelve clinical conditions contributed to the hierarchy, and accounted for 92.9 percent of all women experiencing elective primary cesarean delivery. The remaining 7.1 percent of the elective primary cesarean cases were classified as "unspecified."Conclusions: A standardized methodology (utilizing recursive partitioning algorithms) for assigning indications for elective primary cesarean is presented. This methodology relies on administrative data, classifies women with complex comorbidity patterns into clinically relevant subpopulations, and can be used to establish normative rates for benchmarking specific indications for cesarean delivery. [ABSTRACT FROM AUTHOR]

Abstract: Objective: The development of readiness metrics for organizational participation in health information exchange is critical for monitoring progress toward, and achievement of, successful inter-organizational collaboration. In preparation for the development of a tool to measure readiness for data-sharing, we tested whether organizational capacities known to be related to readiness were associated with successful participation in an American data-sharing collaborative for quality improvement. Design: Cross-sectional design, using an on-line survey of hospitals in a large, mature data-sharing collaborative organized for benchmarking and improvement in nursing care quality. Measurements: Factor analysis was used to identify salient constructs, and identified factors were analyzed with respect to “successful” participation. “Success” was defined as the incorporation of comparative performance data into the hospital dashboard. Results: The most important factor in predicting success included survey items measuring the strength of organizational leadership in fostering a culture of quality improvement (QI Leadership): (1) presence of a supportive hospital executive; (2) the extent to which a hospital values data; (3) the presence of leaders’ vision for how the collaborative advances the hospital''s strategic goals; (4) hospital use of the collaborative data to track quality outcomes; and (5) staff recognition of a strong mandate for collaborative participation (α =0.84, correlation with Success 0.68 [P <0.0001]). Conclusion: The data emphasize the importance of hospital QI Leadership in collaboratives that aim to share data for QI or safety purposes. Such metrics should prove useful in the planning and development of this complex form of inter-organizational collaboration. [Copyright &y& Elsevier]

Our goal was to assess whether quantitative fetal fibronectin (qfFN) is associated with spontaneous preterm birth (sPTB) after laser surgery for twin-twin transfusion syndrome (TTTS). qfFN was collected within 24 hours before and after laser surgery. Aims were: (1) To determine if qfFN changed with operative fetoscopy; and (2) To estimate the number of patients needed to study the predictive value of qfFN for sPTB <28 and <32 weeks. Results are reported as median (range). Among 49 patients, there was no net difference in qfFN levels after laser surgery [0.0 ng/mL (−37 to +400), p = 0.6041]. However, patients with a qfFN increase >10 ng/mL were 19 times more likely to undergo sPTB at <28 weeks (OR = 19.5). We determined that 383 and 160 patients would be needed to achieve adequate statistical power for qfFN to be predictive of sPTB at a GA <28 weeks and <32 weeks, respectively. In conclusion, laser surgery did not alter the qfFN level within the entire cohort, but qfFN may be useful in identifying a subset of patients at increased risk of preterm delivery. [ABSTRACT FROM AUTHOR]