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1.
J Patient Exp ; 10: 23743735231158250, 2023.
Article in English | MEDLINE | ID: covidwho-2250499

ABSTRACT

A patient's likelihood to recommend a hospital is used to assess the quality of their experience. This study investigated whether room type influences patients' likelihood to recommend Stanford Health Care using Hospital Consumer Assessment of Healthcare Providers and Systems survey data from November 2018 to February 2021 (n = 10,703). The percentage of patients who gave the top response was calculated as a top box score, and the effects of room type, service line, and the COVID-19 pandemic were represented as odds ratios (ORs). Patients in private rooms were more likely to recommend than patients in semi-private rooms (aOR: 1.32; 95% CI: 1.16-1.51; 86% vs 79%, p < .001), and service lines with only private rooms had the greatest increases in odds of a top response. The new hospital had significantly higher top box scores than the original hospital (87% vs 84%, p < .001), indicating that room type and hospital environment impact patients' likelihood to recommend.

2.
BMC Health Serv Res ; 22(1): 659, 2022 May 16.
Article in English | MEDLINE | ID: covidwho-1846836

ABSTRACT

BACKGROUND: Telemedicine has grown significantly in recent years, mainly during the COVID-19 pandemic, and there has been a growing body of literature on the subject. Another topic that merits increased attention is differences in patient and family experience between telehealth and in-person visits. To our team's knowledge, this is the first study evaluating pediatric and obstetrics outpatients experience with telemedicine and in-person visit types in an academic maternal and children's hospital, and its correlation with geographic distance from the medical center throughout 2020, during the COVID-19 crisis. METHODS: We aim to evaluate and compare patients' telemedicine and in-person experience for ambulatory encounters based on survey data throughout 2020, during the COVID-19 pandemic, with particular focus on the influence of distance of the patient's home address from the medical facility. A total of 9,322 patient experience surveys from ambulatory encounters (6,362 in-person and 2,960 telemedicine), in a maternal and children's hospital during 2020 were included in this study. The percentage of patients who scored the question "Likelihood to recommend practice" with a maximum 5/5 (top box) score was used to evaluate patient experience. The k-means model was used to create distance clusters, and statistical t-tests were conducted to compare mean distances and Top Box values between telemedicine and in-person models. Logistic regression analysis was used to evaluate the correlation between Top Box scores and patients' distance to the hospital. RESULTS: Top Box likelihood to recommend percentages for in-person and telemedicine were comparable (in-person = 81.21%, telemedicine = 81.70%, p-value = 0.5624). Mean distance from the hospital was greater for telemedicine compared to in-person patients (in-person = 48.89 miles, telemedicine = 61.23 miles, p-value < 0.01). Patients who live farther displayed higher satisfaction scores regardless of the visit type (p-value < 0.01). CONCLUSIONS: There is a direct relationship between the family experience and the distance from the considered medical center, during year 2020, i.e., patients who live farther from the hospital record higher Top Box proportion for "Likelihood to Recommend" than patients who live closer to the medical center, regardless of the approach, in-person or telemedicine.


Subject(s)
COVID-19 , Obstetrics , Telemedicine , COVID-19/epidemiology , Child , Female , Humans , Outpatients , Pandemics , Patient Satisfaction , Pregnancy
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