Department of Obstetrics & Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia Pennsylvania; the School of Public Affairs, Baruch College, the New York University School of Medicine, and the Blavatnik Family Women's Health Research Institute, the Department of Obstetrics, Gynecology, and Reproductive Science, and the Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, New York, New York; Tufts University School of Medicine, Boston, Massachusetts; and Université de Paris, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, Inserm, Inrae, F-75004 Paris, France.
Obstet Gynecol. 2022 Jun 1;139(6):1061-1069. doi: 10.1097/AOG.0000000000004806. Epub 2022 May 2.
To investigate which organizational factors, policies, and practices distinguish hospitals with high compared with low risk-adjusted rates of severe maternal morbidity (SMM).
Using a positive deviance approach, this qualitative study included 50 semistructured interviews with health care professionals (obstetrics and gynecology chairs, labor and delivery medical directors, nurse managers, frontline nurses, physicians or nurses responsible for quality and safety, and chief medical officers) in four low-performing and four high-performing hospitals in New York City. Hospital performance was based on risk-adjusted morbidity metrics from previous research. Major topics explored were structural characteristics (eg, staffing, credentialing), organizational characteristics (eg, culture, leadership, communication, use of data), labor and delivery practices (eg, use of standardized, evidence-based practices, teamwork), and racial and ethnic disparities in SMM. All interviews were audiotaped, professionally transcribed, and coded using NVivo software. Researchers blinded to group assignment conducted qualitative content analysis. Researchers wrote analytic memos to identify key themes and patterns emerging from the interviews, highlight illustrative quotes, and draw qualitative comparisons between the two hospital clusters with different (but unrevealed) performance levels.
Six themes distinguished high-performing from low-performing hospitals. High-performing hospitals were more likely to have: 1) senior leadership involved in day-to-day quality activities and dedicated to quality improvement, 2) a strong focus on standards and standardized care, 3) strong nurse-physician communication and teamwork, 4) adequate physician and nurse staffing and supervision, 5) sharing of performance data with nurses and other frontline clinicians, and 6) explicit awareness that racial and ethnic disparities exist and that racism and bias in the hospital can lead to differential treatment.
Organizational factors, policies, and practices at multiple levels distinguish high-performing from low-performing hospitals for SMM. Findings illustrate the potential for targeted quality initiatives to improve maternal health and reduce obstetric disparities arising from delivery in low-performing hospitals.
探究哪些组织因素、政策和实践能够区分高风险调整严重产妇发病率(SMM)医院和低风险调整严重产妇发病率医院。
本研究采用正向偏差法,选取纽约市 4 家低表现医院和 4 家高表现医院的 50 名医护专业人员(妇产科主席、分娩医疗主任、护士长、一线护士、负责质量和安全的医生或护士、首席医疗官)进行半结构化访谈。医院的表现基于之前研究的风险调整发病率指标。主要探讨的主题包括结构特征(如人员配备、认证)、组织特征(如文化、领导力、沟通、数据使用)、分娩实践(如使用标准化、基于证据的实践、团队合作)以及 SMM 中的种族和民族差异。所有访谈均进行录音、专业转录,并使用 NVivo 软件进行编码。研究人员对分组情况进行盲法处理,进行定性内容分析。研究人员编写分析备忘录,以确定访谈中出现的关键主题和模式,突出说明性引语,并在具有不同(但未透露)表现水平的两个医院群之间进行定性比较。
有 6 个主题将高表现医院与低表现医院区分开来。高表现医院更有可能:1)高层领导参与日常质量活动并致力于质量改进;2)高度关注标准和标准化护理;3)强有力的医生-护士沟通和团队合作;4)充足的医生和护士人员配备和监督;5)与护士和其他一线临床医生分享绩效数据;6)明确意识到存在种族和民族差异,并且医院内的种族主义和偏见可能导致不同的待遇。
多个层面的组织因素、政策和实践能够将高表现医院与低表现医院区分开来,以改善 SMM 状况。研究结果表明,有针对性的质量举措有可能改善产妇健康,并减少因在低表现医院分娩而产生的产科差异。