Correlation of Patient Reported Satisfaction With Adverse Events Following Elective Posterior Lumbar Fusion Surgery: A Single Institution Analysis

择期后路腰椎融合术后患者满意度与不良事件的相关性:单中心分析

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Abstract

BACKGROUND: With increasing emphasis on patient satisfaction metrics, such as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, hospital reputations and reimbursements are being affected by their results. The purpose of the current study is to determine if post-operative self-reported patient satisfaction differed among patients who experienced any adverse event (AAE) following elective posterior lumbar fusion (PLF) surgery compared to those who did not. METHODS: Patients who underwent elective PLF surgery performed at a single institution between February 2013 and May 2020 and returned an HCAHPS survey following discharge were included in the retrospective cohort analysis. Demographic, comorbidity, and HCAHPS survey data were compared between patients who did and did not experience any adverse event (AAE) in the 30-days postoperatively. RESULTS: Of 5,117 PLF patients, the HCAHPS survey was returned by 1,071 patients, of which 30-day AAE was experienced by 40 (3.73%). Of those that experienced AAE, the survey response rate was significantly lower (13.94% versus 21.35%, p=0.003). Those responding reported lower scores pertaining to if medication side-effects were adequately explained (22.22% versus 52.56%, p=0.002) and if post-discharge care was adequately explained (79.17% versus 93.76%, p=0.005), as well as overall top-box responses (67.62% versus 75.93% survey average, p<0.001). CONCLUSIONS: Patients experiencing AAE after elective PLF surgery are less likely to respond to surveys about their hospital experience. For those who did respond, they report less satisfaction with multiple aspects of their hospital care measured by the HCAHPS survey. Understanding how postoperative adverse events impact patients' perception of healthcare quality provides insight into what patients value and has implications for optimizing their care.

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