2022
DOI: 10.3390/ijerph192214679
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The Prevalence, Indications, Outcomes of the Most Common Major Gynecological Surgeries in Kazakhstan and Recommendations for Potential Improvements into Public Health and Clinical Practice: Analysis of the National Electronic Healthcare System (2014–2019)

Abstract: Objectives: Major gynecological surgeries are indicated for the treatment of female genital pathologies. It is key to examine trends in gynecologic surgical procedures and updated recommendations by international gynecological societies to find opportunities for improvement of local guidelines. To date, a very limited number of reports have been published on the epidemiology of gynecological surgeries in Kazakhstan. Moreover, some local guidelines for gynecological conditions do not comply with the internation… Show more

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Cited by 6 publications
(8 citation statements)
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“…This report does not include ectopic pregnancies, which previously were analyzed. 22 The findings of this study highlight the importance of proper prevention and personalized management of miscarriages. That is supported by an earlier study which documented a strong association between the history of SPL and RPL history with an increased risk of preterm delivery.…”
Section: Ta B L Ementioning
confidence: 72%
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“…This report does not include ectopic pregnancies, which previously were analyzed. 22 The findings of this study highlight the importance of proper prevention and personalized management of miscarriages. That is supported by an earlier study which documented a strong association between the history of SPL and RPL history with an increased risk of preterm delivery.…”
Section: Ta B L Ementioning
confidence: 72%
“…Moreover, this database does not include women who experienced SPL outside of a healthcare setting and did not seek medical attention and thus were not registered in the system. This report does not include ectopic pregnancies, which previously were analyzed 22 …”
Section: Discussionmentioning
confidence: 99%
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“…The Internet of Things, Big Data, Machine Learning, and Artificial Intelligence are changing the delivery of health services, providing faster decision-making in-patient diagnosis, treatment, and day-to-day monitoring, which can be especially valuable when healthcare professionals and systems experience extremely high workloads [ 29 ]. Sakko and colleagues [ 30 ] used the data available from the Unified Nationwide Electronic Health System (UNEHS) from the Republic of Kazakhstan during the period of 2014–2019 to investigate the prevalence, indications, and outcomes of the most common major gynecological surgeries by analyzing large-scale healthcare data and to identify possible opportunities for improvement in the local public health and clinical practice.…”
mentioning
confidence: 99%