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1.
BMJ Open ; 12(3): e061093, 2022 03 23.
Article in English | MEDLINE | ID: covidwho-1765129

ABSTRACT

INTRODUCTION: Severe maternal morbidity (SMM)-an unexpected pregnancy-associated maternal outcome resulting in severe illness, prolonged hospitalisation or long-term disability-is recognised by many, as the preferred indicator of the quality of maternity care, especially in high-income countries. Obtaining comprehensive details on events and circumstances leading to SMM, obtained through maternity units, could complement data from large epidemiological studies and enable targeted interventions to improve maternal health. The aim of this study is to assess the feasibility of gathering such data from maternity units across Canadian provinces and territories, with the goal of establishing a national obstetric survey system for SMM in Canada. METHODS AND ANALYSIS: We propose a sequential explanatory mixed-methods study. We will first distribute a cross-sectional survey to leads of all maternity units across Canada to gather information on (1) Whether the unit has a system for reviewing SMM and the nature and format of this system, (2) Willingness to share anonymised data on SMM by direct entry using a web-based platform and (3) Respondents' perception on the definition and leading causes of SMM at a local level. This will be followed by semistructured interviews with respondent groups defined a priori, to identify barriers and facilitators for data sharing. We will perform an integrated analysis to determine feasibility outcomes, a narrative description of barriers and facilitators for data-sharing and resource implications for data acquisition on an annual basis, and variations in top-5 causes of SMM. ETHICS AND DISSEMINATION: The study has been approved by the Mount Sinai and Hamilton Integrated Research Ethics Boards. The study findings will be presented at annual scientific meetings of the Society of Obstetricians and Gynaecologists of Canada, North American Society of Obstetric Medicine, and International Network of Obstetric Survey Systems and published in an open-access peer-reviewed Obstetrics and Gynaecology or General Internal Medicine journal.


Subject(s)
Maternal Health Services , Canada/epidemiology , Cross-Sectional Studies , Feasibility Studies , Female , Humans , Pregnancy , Pregnancy Outcome , Severity of Illness Index
2.
Int J Womens Dermatol ; 7(5): 640-646, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1379123

ABSTRACT

The care for patients infected with COVID-19 requires a team approach, and dermatologists may collaborate with other specialties, especially infectious disease (ID) medicine and obstetrics and gynecology (ObGyn), at every stage of the infection process. A broad spectrum of cutaneous manifestations may occur early in COVID-19 infection, making appropriate dermatologic identification critical for an early diagnosis. There is prognostic value in appropriately identifying different types of COVID-19-associated skin manifestations, which have been linked to disease severity. Such observations emanated from dermatology research, especially large series and international registries of cutaneous manifestations relating to COVID-19, and impact COVID-19 care provided by most health care providers. Also, research based on international registries of skin reactions from the COVID-19 vaccines has an impact across disciplines. An increased risk for severe illness from COVID-19 is encountered during pregnancy, and dermatologists' role is to urge ObGyn and other clinicians to monitor and educate pregnant patients about the potential for eruptions as a manifestation of COVID-19. ID and ObGyn experts indicate that teledermatology enhanced the interaction among health care providers and improved COVID-19 care. More than 40% of all dermatology consultations at a tertiary care hospital were done via teledermatology. Future collaborative research involving dermatology and specialties, such as ID and ObGyn, could help delineate guidelines for dermatology consultations in patients infected with COVID-19 and determine cases appropriate for teledermatology.

3.
Obstet Med ; 14(1): 3, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1242224
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