scholarly journals Questionnaire based Prediction of Hypertension using Machine Learning

Author(s):  
Abhijat Chaturvedi ◽  
Siddharth Srivastava ◽  
Astha Rai ◽  
A S Cheema ◽  
Desham Chelimela ◽  
...  

AbstractMachine Learning has proven its ability in healthcare as an assisting technology for health care providers either by saving precious time or timely alerts or vitals monitoring. However, their application in real world is limited by availability of data. In this paper, we show that simple machine learning algorithms especially neural networks, if designed carefully, are extremely effective even with limited amount of data. Specifically with exhaustive experiments on standard Modified National Institute of Standards and Technology database (MNIST) dataset we analyse the impact of various parameters for effective performance. Further, on a custom dataset collected at a tertiary care hospital for hypertension analysis, we apply these design considerations to achieve better performance as compared to competitive baselines. On a real world dataset of only a few hundred patients, we show the effectiveness of these design choices and report an accuracy of 75% in determining whether a patient suffers from hypertension.

Author(s):  
Swati Chitnis ◽  
Padmaja Samant

Background: Health care providers are often insensitive to and unfamiliar with the needs of pregnant women with disability. Medical services are many times not tailored to the needs of the disabled. This study analyzes the impact of disabilities on pregnancy in women delivering in a tertiary care hospital in India.Methods: Prospective study of total of 50 pregnant women with various disabilities was conducted in a tertiary care hospital in Mumbai, India. Each patient’s antepartum, intrapartum and postpartum course were noted. Patients were also interviewed with help of a structured questionnaire for difficulties accessing services, and impact on their daily life, pain.Results: Rate of cesarean deliveries due to pelvic problems, and complications like urinary tract infections which arise due to mobility issues were significantly higher in patients with physical disabilities. 30% participants found examination tables unsuitable and 20% found it difficult access toilets.  Over all patients were satisfied with skills of health workers.Conclusions: Healthcare facilities have to be equipped for receiving patients with disabilities and should train health workers in management of these clients. They require pre-conceptional counseling and planning.


Author(s):  
Shazia Zargar ◽  
Nikita Gandotra

Background: The uncontrolled wave of cesarean rates has increased globally which has resulted in a significant amount of maternal mortality and morbidity. The present study aims to evaluate the trend in cesarean section rates in Jammu, India. Methods: The present retrospective study was carried out at the department of Obstetrics and Gynecology, SMGS Hospital, Jammu, India. We collected data based on total number of deliveries and cesarean sections performed at the hospital during (March2015-Feb2020) along with indications for CS.Results: The percentage of cesarean sections has increased drastically from 39.4% during (2015-16) to 49.9% in (2019-20). The study shows that the most common indication for CS is post CS followed by NPOL, Fetal distress, breech, APH, CPD, PIH and others.Conclusions: There is a growing concern among public and health care providers regarding the escalating and uncontrolled trend of cesarean sections which needs to be curtailed within optimal limits recommended by WHO. 


Author(s):  
Suneeta Dubey ◽  
VK Tadia ◽  
Monalisa LNU

ABSTRACT Accreditation is an integral part of quality and it is not a onetime process. This study was done to know the extent to which hospitals maintain the standards after obtaining accreditation. This study tries to find out the gaps in standards during the postaccreditation period. The objective of the study was to assess the policies of the intensive care unit (ICU) with reference to standard protocols of the National Accreditation Board for Hospital and Health Care Providers (NABH) and measures taken by the management to maintain the standards. Data was collected from a 285-bedded NABH-accredited hospital that had five ICUs and four recovery rooms by means of nonparticipant observation, semistructured interviews. Data on indicators was collected by using the hospital management information system; the questionnaire on satisfaction was filled by 30 patients/relatives who were admitted in the ICU for more than a week. Quality team was interviewed to know the perception of the management toward quality and accreditation. To know the compliance of the staff to the NABH standards, a surprise check was done in three ICUs of the hospital. Data analysis showed that the organization was not able to maintain the standards, as it had done at the time of accreditation. The quality team strongly accepted that accreditation helps in maintaining and improving quality, whereas the data from ICUs showed a wide variation in compliance. Three ICUs from the same hospital were having different compliance rates for standards, which shows that staff was not aware about the standard protocol to be followed. The patient-satisfaction questionnaire also showed that the patients were not satisfied with the services given. How to cite this article Tadia VK, Monalisa, Dubey S. Accreditation is not a One-time Process: Quality Assessment of Intensive Care Unit during Post-NABH Accreditation Period in a Tertiary Care Hospital. Int J Res Foundation Hosp Healthc Adm 2017;5(1):29-41.


2018 ◽  
Vol 9 (1) ◽  
pp. 14 ◽  
Author(s):  
Adhisakthi Rajalatchumi ◽  
ThanjavurS Ravikumar ◽  
Kaliaperumal Muruganandham ◽  
Mahalakshmy Thulasingam ◽  
Kalaiselvi Selvaraj ◽  
...  

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