Telemedicine Applications in Obstetrics and Gynecology

Greiner, Alexander

doi:10.1097/grf.0000000000000328

Cited by 71 publications

(63 citation statements)

References 42 publications

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“…This is consistent with prior research that generally reported better maternal and neonatal outcomes at higher volume hospitals, such as postpartum hemorrhage and birth asphyxia. 39 On the other hand, we found no significant difference in performance of joint maternal and newborn morbidity rates across the many other hospital characteristics assessed in our study. For instance, regular simulation training on lower volume, lower acuity labor floors may help develop and maintain clinical skills for infrequently encountered obstetrical events.…”

Section: F I G U R Econtrasting

confidence: 68%

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Optimal maternal and neonatal outcomes and associated hospital characteristics

Campbell

Illuzzi

Lee

et al. 2018

Birth

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Background: This study aims to examine hospital variation in both maternal and neonatal morbidities and identify institutional characteristics associated with hospital performance in a combined measure of maternal and neonatal outcomes. Methods: Using the California Linked Birth File containing data from birth certificate and hospital discharge records, we identified 1 322 713 term births delivered at 248 hospitals during 2010-2012. For each hospital, a risk-standardized rate of severe maternal morbidities and a risk-standardized rate of severe newborn morbidities were calculated after adjusting for patient clinical risk factors. Hospitals were ranked based on combined information on their maternal and newborn morbidity rates. Results: Risk-standardized severe maternal and severe newborn morbidity rates varied substantially across hospitals (10th to 90th percentile range = 67.5-148.2 and 141.8-508.0 per 10 000 term births, respectively), although there was no significant association between the two (P = 0.15). Government hospitals (non-Federal) were more likely than other hospitals to be in worse rank quartiles (P value for trend = 0.004), whereas larger volume was associated with better rank among hospitals in the first three quartiles (P = 0.004). The most prevalent morbidities that differed progressively across hospital rank quartiles were severe hemorrhage, disseminated intravascular coagulation, and heart failure during procedure/surgery for mothers, and severe infection, respiratory complication, and shock/resuscitation for neonates. Conclusions: Hospitals with low maternal morbidity rates may not have low neonatal morbidity rates and vice versa, highlighting the importance of assessing joint maternal-newborn outcomes in order to fully characterize a hospital's obstetrical performance. Hospitals with smaller volume and government ownership tend to have less desirable outcomes and warrant additional attention in future quality improvement efforts. K E Y W O R D Schildbirth, hospital variation, morbidity, obstetric, quality and safety 290 | CAMPBELL Et AL.

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Section: F I G U R Econtrasting

confidence: 68%

“…Median maternal age in our sample was 29 years (interquartile range [IQR] = 24-33) and median gestational age of delivery was 39 weeks (IQR = [38][39][40]. The vast majority (98.5%) were singleton births, 39.3% of the mothers were nulliparous, and 17.5% had a prior cesarean delivery (Table S1).…”

Section: Sample Characteristicsmentioning

confidence: 99%

Optimal maternal and neonatal outcomes and associated hospital characteristics

Campbell

Illuzzi

Lee

et al. 2018

Birth

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“…TH encounters have been implemented in many medical specialties in western countries. 6,7 What is m heath? m-Health (mobile health) is a general term for the use of mobile phones and other wireless technology in medical care, from the large gamut of TM and TH.…”

Section: Formats Of Tm/thmentioning

confidence: 99%

“…TM is the usage of electronic information and communication technology for imparting direct patient health services when the health care medical provider and patient are separated by some physical distance. 6,7 The premise of TM is that it will be of similar quality to in-person visits but more convenient and efficient for both the patient and the medical provider.…”

Section: Telehealth/telemedicinementioning

confidence: 99%

“…[4][5][6][7][8][9][10][11][12][13] They have concluded that mobile technology can be used to enhance the delivery of maternal health services by improving a client's knowledge and self-efficacy, a provider's competence, accountability and effectiveness; and, a health system's ability to manage its commodities, equipment and health workers.…”

Section: Research and Conceptualization Of M Healthmentioning

confidence: 99%

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M-health for maternal health- bridging the gaps!!

Marwah

Mittal

2017

Int J Reprod Contracept Obstet Gynecol

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This article reviews significance, potential and principles to consider when setting up a telemedicine (TM) program to provide care to women in the field of obstetrics and gynecology, essentially deploying mobile technology. There are various benefits of such TM clinical applications. The consensus among patients and health care providers is that this technology is convenient to provide needed subspecialty medical care, even when it is not available locally. Such innovations are clinically successful, but economic and cost-effectiveness data are lacking.

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Effectiveness of telehealth physical therapy for patients with pelvic floor disorders in a community hospital setting

Coad,

Ramani,

Michel

et al. 2023

Arch Gynecol Obstet

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Purpose To examine whether there are differences in meeting treatment goals between pelvic floor physical therapy (PFPT) patients who participated in a majority of telehealth visits versus those who participated in mostly traditional office visits at a community hospital. Methods Retrospective chart review was performed among patients who received PFPT from April 2019 to February 2021. Cohorts were defined as “Mostly Office Visits” (> 50% office visits) and “Mostly Telehealth” (> / = 50% telehealth visits). Primary outcome measures included demographic data, number/type of visit for each patient, number of no-show/cancelation appointments, and number of patients discharged meeting PFPT goals. Statistical significance was defined as p < 0.05. Results 234 subjects met criteria for the “Mostly Office Visit” cohort and 48 subjects met criteria for the “Mostly Telehealth” cohort. There were no significant differences observed in age ( p = 0.919), BMI ( p = 0.817), race/ethnicity ( p = 0.170) or insurance type ( p = 0.426) between cohorts. There was no significant difference in meeting PFPT goals between the “Mostly Office Visit” cohort (24.4%) and the “Mostly Telehealth” cohort (35.4%) ( p = 0.113). There was no difference in the number of canceled visits per patient (mean cancelations “Office visit” 1.98; “Telehealth” 1.63; p = 0.246) and the number of no-show visits per patient (mean no-show’s “Office visit” 0.23; “Telehealth” 0.31; p = 0.297) between cohorts. Conclusion There was no difference in meeting discharge goals regardless of whether a patient participated in mostly telehealth visits versus mostly traditional office visits. Therefore, we can conclude that participating in mostly provider-led telehealth visits can be equally efficacious at providing competent PFPT care.

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Telemedicine Applications in Obstetrics and Gynecology

Cited by 71 publications

References 42 publications

Optimal maternal and neonatal outcomes and associated hospital characteristics

Optimal maternal and neonatal outcomes and associated hospital characteristics

M-health for maternal health- bridging the gaps!!

Effectiveness of telehealth physical therapy for patients with pelvic floor disorders in a community hospital setting

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