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  1. Article ; Online: Coronavirus Disease 2019 (COVID-19): Prevention and Control in Gynecological Outpatient Clinic.

    Yao, Dongmei / Yan, Kun / Duan, Jie / Zhang, Xian / Zhou, Limin

    Frontiers in public health

    2021  Volume 8, Page(s) 618494

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) Ambulatory Care Facilities ; COVID-19/prevention & control ; Cross Infection/prevention & control ; Female ; Guidelines as Topic ; Gynecology ; Humans ; Infection Control/organization & administration ; Infection Control/standards ; Public Health
    Language English
    Publishing date 2021-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2020.618494
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Coronavirus Disease 2019 (COVID-19)

    Dongmei Yao / Kun Yan / Jie Duan / Xian Zhang / Limin Zhou

    Frontiers in Public Health, Vol

    Prevention and Control in Gynecological Outpatient Clinic

    2021  Volume 8

    Abstract: ... introduces prevention and control measures for use in gynecological outpatient clinics and provides ... Objective: The pandemic of coronavirus disease 2019 (COVID-19) has become a major public health ... of cross infection between patients and gynecologic practitioners can be high, strict and effective infection control ...

    Abstract Objective: The pandemic of coronavirus disease 2019 (COVID-19) has become a major public health challenge around the world, and outbreaks of the SARS-CoV-2 have constituted a public health emergency of international concern. Infection control measures are necessary to prevent further spread of the virus and to help control the epidemic situation. Due to the characteristics of gynecological settings, the risk of cross infection between patients and gynecologic practitioners can be high, strict and effective infection control protocols are urgently needed. This article, based on our experience and relevant guidelines and research, introduces prevention and control measures for use in gynecological outpatient clinics and provides recommended management for gynecologists in (potentially) affected areas.
    Keywords infection control ; transmission ; COVID-19 ; gynecological public health ; gynecological practice management ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Mindfulness Effects in Obstetric and Gynecology Patients During the Coronavirus Disease 2019 (COVID-19) Pandemic: A Randomized Controlled Trial.

    Smith, Rachael B / Mahnert, Nichole D / Foote, Janet / Saunders, Kelley T / Mourad, Jamal / Huberty, Jennifer

    Obstetrics and gynecology

    2021  Volume 137, Issue 6, Page(s) 1032–1040

    Abstract: ... on wellness in outpatient obstetric and gynecology patients during the coronavirus disease 2019 (COVID-19 ... of obstetric and gynecology patients during the COVID-19 pandemic. Women were randomly assigned ... the COVID-19 pandemic had significant reductions in perceived stress, depression, anxiety, and ...

    Abstract Objective: To assess the effect of a consumer-based mobile meditation application (app) on wellness in outpatient obstetric and gynecology patients during the coronavirus disease 2019 (COVID-19) pandemic.
    Methods: We conducted a randomized controlled trial at a university outpatient clinic of obstetric and gynecology patients during the COVID-19 pandemic. Women were randomly assigned to the intervention group, who was prescribed a mobile meditation app for 30 days, or the control group, which received standard care. The primary outcome was self-reported perceived stress. Secondary outcomes included self-reported depression, anxiety, sleep disturbance, and satisfaction with the meditation app. A sample size of 80 participants (40 per group) was calculated to achieve 84% power to detect a 3-point difference in the primary outcome.
    Results: From April to May 2020, 101 women were randomized in the study-50 in the meditation app group and 51 in the control group. Analysis was by intention-to-treat. Most characteristics were similar between groups. Perceived stress was significantly less in the intervention group at days 14 and 30 (mean difference 4.27, 95% CI 1.30-7.24, P=.005, d=0.69 and mean difference 4.28, 95% CI 1.68-6.88, P=.002, d=0.69, respectively). Self-reported depression and anxiety were significantly less in the intervention group at days 14 and 30 (depression: P=.002 and P=.04; anxiety: P=.01, and P=.04, respectively). Sleep disturbance was significantly less in the intervention group at days 14 and 30 (P=.001 and P=.02, respectively). More than 80% of those in the intervention group reported high satisfaction with the meditation app, and 93% reported that mindfulness meditation improved their stress.
    Conclusion: Outpatient obstetric and gynecology patients who used the prescribed consumer-based mobile meditation app during the COVID-19 pandemic had significant reductions in perceived stress, depression, anxiety, and sleep disturbance compared with standard care.
    Clinical trial registration: ClinicalTrials.gov, NCT04329533.
    MeSH term(s) Adult ; COVID-19 ; Female ; Gynecology ; Humans ; Meditation/psychology ; Middle Aged ; Mindfulness ; Mobile Applications ; Obstetrics ; Pandemics ; Pregnancy/psychology ; Prenatal Care/methods ; Primary Health Care/methods ; Stress, Psychological/prevention & control
    Language English
    Publishing date 2021-06-14
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial
    ZDB-ID 207330-4
    ISSN 1873-233X ; 0029-7844
    ISSN (online) 1873-233X
    ISSN 0029-7844
    DOI 10.1097/AOG.0000000000004316
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: What is driving the decreased incidence of preterm birth during the coronavirus disease 2019 pandemic?

    Lemon, Lara / Edwards, Robert P / Simhan, Hyagriv N

    American journal of obstetrics & gynecology MFM

    2021  Volume 3, Issue 3, Page(s) 100330

    Abstract: ... pre-coronavirus disease 2019 deliveries, and 5396 deliveries occurring during the coronavirus disease ... of preterm births during the coronavirus disease 2019 pandemic. The reason for this reduction remains unknown ... emotional stress resulting in longer gestation? (2) Does the effect of the coronavirus disease 2019 pandemic ...

    Abstract Background: Institutions across the world have observed a decrease in the incidence of preterm births during the coronavirus disease 2019 pandemic. The reason for this reduction remains unknown.
    Objective: We sought to explore potential causes for the decrease in preterm births by exploring the following 3 hypotheses: (1) do women who are more likely to be able to work from home incur less physical/or emotional stress resulting in longer gestation? (2) Does the effect of the coronavirus disease 2019 pandemic on the incidence of preterm births vary by race? (3) Is this change provider driven?
    Study design: Using a retrospective cohort of all singleton deliveries at a single tertiary care center, we compared the deliveries for the period before the coronavirus disease 2019 pandemic (January 1, 2018-January 31, 2020) with those occurring during the pandemic (April 1, 2020-October 27, 2020). Comparisons between the period before and during the pandemic were made using Pearson chi-square or t tests as appropriate. The overall incidence of preterm birth, defined as delivery at <37 weeks' gestation, was analyzed and then further classified into spontaneous or indicated preterm births. The population was then stratified by the following categories: (1) insurance type and neighborhood disadvantage; (2) race; and (3) provider type. The provider type was classified as delivery occurring within an outpatient care facility, a clinic that provides prenatal care to those eligible for medical assistance, or a nonoutpatient care facility.
    Results: In a population of 17,687 pre-coronavirus disease 2019 deliveries, and 5396 deliveries occurring during the coronavirus disease 2019 pandemic, there was a significant decrease in the overall incidence of preterm births (11.1 vs 10.1%; P=.039). Both spontaneous and indicated preterm deliveries decreased across the entire population. When stratified, decreases in the incidence of spontaneous preterm birth before vs during the coronavirus disease 2019 pandemic were limited to deliveries to women from more advantaged neighborhoods (most advantaged, 4.4 vs 3.8%; least advantaged, 7.2 vs 7.4%), white mothers (white, 5.6 vs 4.7%; black, 6.6 vs 7.1%), and those receiving care from nonoutpatient care providers (nonoutpatient care providers, 5.5 vs 4.8%; outpatient care providers, 6.3 vs 6.7%).
    Conclusion: The incidence of preterm births has decreased during the coronavirus disease 2019 pandemic. Decreases in the rate of spontaneous preterm births were limited to deliveries to white women, living in more advantaged neighborhoods, and deliveries at nonoutpatient care facilities. The coronavirus disease 2019 response regulations may have benefited women with more indicators of advantage disproportionately more.
    MeSH term(s) COVID-19/epidemiology ; Female ; Humans ; Incidence ; Infant, Newborn ; Pandemics/prevention & control ; Pregnancy ; Premature Birth/epidemiology ; Residence Characteristics ; Retrospective Studies ; SARS-CoV-2 ; Socioeconomic Factors
    Language English
    Publishing date 2021-02-19
    Publishing country United States
    Document type Journal Article
    ISSN 2589-9333
    ISSN (online) 2589-9333
    DOI 10.1016/j.ajogmf.2021.100330
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A multidisciplinary telemedicine model for management of coronavirus disease 2019 (COVID-19) in obstetrical patients.

    Reforma, Liberty G / Duffy, Cassandra / Collier, Ai-Ris Y / Wylie, Blair J / Shainker, Scott A / Golen, Toni H / Herlihy, Mary / Lydeard, Aisling / Zera, Chloe A

    American journal of obstetrics & gynecology MFM

    2020  Volume 2, Issue 4, Page(s) 100180

    Abstract: ... telemedicine surveillance model for outpatient management of obstetrical patients with COVID-19 symptoms and ... manage obstetrical patients with known exposures and symptoms of COVID-19.: Study design ... solely in the outpatient setting and did not require an in-person evaluation; 9 patients were ultimately ...

    Abstract Background: The COVID-19 pandemic caused by the SARS-CoV-2 has increased the demand for inpatient healthcare resources; however, approximately 80% of patients with COVID-19 have a mild clinical presentation and can be managed at home.
    Objective: This study aimed to describe the feasibility and clinical and process outcomes associated with a multidisciplinary telemedicine surveillance model to triage and manage obstetrical patients with known exposures and symptoms of COVID-19.
    Study design: We implemented a multidisciplinary telemedicine surveillance model with obstetrical physicians and nurses to standardize ambulatory care for obstetrical patients with confirmed or suspected COVID-19 based on the symptoms or exposures at an urban academic tertiary care center with multiple hospital-affiliated and community-based practices. All pregnant or postpartum patients with COVID-19 symptoms, exposures, or hospitalization were eligible for inclusion in the program. Patients were assessed by means of regular nursing phone calls and were managed according to illness severity. Patient characteristics and clinical and process outcomes were abstracted from the electronic medical record.
    Results: A total of 135 patients were enrolled in the multidisciplinary telemedicine model from March 17 to April 19, 2020, of whom 130 were pregnant and 5 were recently postpartum. In this study, 116 of 135 patients (86%) were managed solely in the outpatient setting and did not require an in-person evaluation; 9 patients were ultimately admitted after ambulatory or urgent evaluations, and 10 patients were observed after hospital discharge. Although only 50% of the patients were tested secondary to limitations in ambulatory testing, 1 in 3 of those patients received positive results for SARS-CoV-2 (N=22, 16% of entire cohort). Patients were enrolled in the telemedicine model for a median of 7 days (interquartile range, 4-8) and averaged 1 phone call daily, resulting in 891 nursing calls and 20 physician calls over 1 month.
    Conclusion: A multidisciplinary telemedicine surveillance model for outpatient management of obstetrical patients with COVID-19 symptoms and exposures is feasible and resulted in rates of ambulatory management similar to those seen in nonpregnant patients. A centralized model for telemedicine surveillance of obstetrical patients with COVID-19 symptoms may preserve inpatient resources and prevent avoidable staff and patient exposures, particularly in centers with multiple ambulatory practice settings.
    MeSH term(s) Adult ; Ambulatory Care/methods ; Ambulatory Care/trends ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/therapy ; Female ; Humans ; Infection Control/methods ; Infection Control/organization & administration ; Models, Organizational ; Obstetrics/organization & administration ; Obstetrics/trends ; Patient Care Team ; Pregnancy ; Pregnancy Complications, Infectious/diagnosis ; Pregnancy Complications, Infectious/epidemiology ; Pregnancy Complications, Infectious/therapy ; Quality Improvement ; SARS-CoV-2/isolation & purification ; Telemedicine/methods ; Tertiary Care Centers ; United States/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-07-25
    Publishing country United States
    Document type Journal Article
    ISSN 2589-9333
    ISSN (online) 2589-9333
    DOI 10.1016/j.ajogmf.2020.100180
    Database MEDical Literature Analysis and Retrieval System OnLINE

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