Mitigating gaps in reproductive health reporting in outlier communities of Kerala, India—A mobile phone-based health information system

2012 ◽  
Vol 1 (2) ◽  
pp. 69-76 ◽  
Author(s):  
Manoj A. Thomas ◽  
Poornima R. Narayan ◽  
Cynthia Christian
Keyword(s):  
Information System ◽  
Reproductive Health ◽  
Mobile Phone ◽  
Health Information ◽  
Health Information System ◽  
Health Reporting

scholarly journals Use of mHealth Solutions for Improving Access to Adolescents' Sexual and Reproductive Health Services in Resource-Limited Settings: Lessons From Zimbabwe

2021 ◽  
Vol 3 ◽  
Author(s):  
Dominica Dhakwa ◽  
Fungai H. Mudzengerere ◽  
Mulamuli Mpofu ◽  
Emmanuel Tachiwenyika ◽  
Florence Mudokwani ◽  
...  
Keyword(s):  
Information System ◽  
Reproductive Health ◽  
Health Services ◽  
Health Information ◽  
Adolescent Girls ◽  
Young Women ◽  
Health Information System ◽  
Completion Rates ◽  
District Health ◽  
Referral Completion

Background: Gaps still exist in reducing new HIV infections among adolescent girls and young women (AGYW) aged 10–24 years. High Internet coverage and mobile phone penetration rates present opportunities for the use of mobile health (mHealth) to support access to health services. We present results of an FHI 360 and Zimbabwe Health Interventions-implemented mHealth intervention for reproductive health (RH) and HIV testing service (HTS) referral among AGYW aged 10–19 years between October 2019 and September 2020.Methods: Adolescent girls and young women referred for RH and HTS under the Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program had automatic reminders sent to their phones to facilitate access to services through short message service (SMS) and also using a paper-based system. These data were captured in a web-based District Health Information System (DHIS) database, which captured the referral completion status of the AGYW. Data for AGYW referred for RH and HTS for the period October 2018 to September 2019 for the paper-based system and October 2018 to September 2020 for the mHealth were extracted from District Health Information System version 2 (DHIS2) database and analyzed using SPSS to generate descriptive statistics. The Chi-square test was used to assess differences in referral completion rates by age-group; marital status, district, and type of service, as well as differences between mHealth and paper-based referral completion rates within each of the groups for the variables above.Results: A total of 8,800 AGYW referred for RH and HTS, where 4,355 and 4,445 were referred through the mHealth and paper-based systems, respectively. About 95.2% (4,148/4,355) and 87.8% (3,903/4,445) referred through mHealth and the paper-based system, respectively completed referrals. The median time for referral completion was 1 day (Range = 0–9 days) for mHealth and 11 days (Range = 0–28 days) for the paper-based system. AGYW referred through mHealth were 17.995 timesmore likely to complete the referral system than those referred through the paper-based system (OR =17.995; p <0.001).Conclusion: Compared to the paper-based referral system the mHealth solution resulted in a higher, service referral completion rates and shorter turnaround time. We recommend expansion of the mHealth solution to all DREAMS supported districts to increase uptake of RH and HTS among AGYW aged 10–19 years.

The Vision for a Person-Centered Health Information System

2018 ◽  
Vol 8 (10) ◽  
Author(s):  
Keith Horvath ◽  
◽  
Patricia Sengstack ◽  
Frank Opelka ◽  
Andrea Borondy Kitts ◽  
...  
Keyword(s):  
Information System ◽  
Health Information ◽  
Health Information System

Impact of Perioperative Tachydysrhythmias on Mortality and Length of Stay in Complete Repair of Tetralogy of Fallot: A Multicenter Retrospective Cohort Study from the Pediatric Health Information System

Cardiology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Aziez Ahmed ◽  
Parthak Prodhan ◽  
Beverly J. Spray ◽  
Elijah H. Bolin
Keyword(s):  
Information System ◽  
Length Of Stay ◽  
Health Information ◽  
Tetralogy Of Fallot ◽  
Health Information System ◽  
Inpatient Mortality ◽  
Pediatric Health ◽  
Mortality And Morbidity ◽  
Multiple Risk Factors ◽  
Complete Repair

Introduction: Tachydysrhythmias (TDS) frequently occur after complete repair of tetralogy of Fallot (TOF). However, not much is known about the effect of TDS on morbidity and mortality after TOF repair. We sought to assess the associations between TDS and mortality and morbidity after repair of TOF using a multicentre database. Materials and Methods: We identified all children aged 0–5 years in the Pediatric Health Information System who underwent TOF repair between 2004 and 2015. Codes for TDS were used to identify cases. Outcome variables were inpatient mortality and total length of stay (LOS). Univariate and multiple logistic and linear regression analyses were used to identify the effects of multiple risk factors, including TDS, on mortality and LOS. Results: A total of 7,749 patients met inclusion criteria, of which 1,493 (19%) had codes for TDS. There was no association between TDS and inpatient mortality. However, TDS were associated with 1.1 days longer LOS and accounted for 2% of the variation observed in LOS. Conclusion: After complete repair of TOF, TDS were not associated with mortality and appeared to have only a modest effect on LOS.

Diagnosis of Auditory Neuropathy Spectrum Disorder in the Neonatal Intensive Care Unit Population

2021 ◽  
pp. 019459982110298
Author(s):  
Chengetai Mahomva ◽  
Yi-Chun Carol Liu ◽  
Nikhila Raol ◽  
Samantha Anne
Keyword(s):  
Intensive Care Unit ◽  
Information System ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Health Information ◽  
Neonatal Intensive Care ◽  
Health Information System ◽  
Auditory Neuropathy ◽  
Spectrum Disorder ◽  
Nicu Admission

Objective To determine the incidence of auditory neuropathy spectrum disorder (ANSD) and its risk factors among the neonatal intensive care unit (NICU) population from 2009 to 2018 in the Pediatric Health Information System database. Study Design Retrospective national database review. Setting Population-based study. Methods The Pediatric Health Information System database was queried to identify patients ≤18 years old with NICU admission and ANSD diagnosis. Patient demographics, jaundice diagnosis, use of mechanical ventilation, extracorporeal membrane oxygenation, furosemide, and/or aminoglycosides were extracted. Multivariable linear regression was used to assess trends in incidence. Chi-square analysis was used to assess differences between patients with and without ANSD. Logistic regression was used to assess factors associated with ANSD. Results From 2009 to 2018, there was an increase in (1) NICU admissions from 14,079 to 24,851 ( P < .001), (2) total ANSD diagnoses from 92 to 1847 ( P = .001), and (3) annual total number of patients with ANSD and NICU admission increased from 4 to 16 ( P = .005). There was strong correlation between the increases in total number of NICU admissions and total ANSD diagnoses over time ( R = 0.76). The average ANSD incidence was 0.052% with no statistically significant change over 10 years. When compared with all NICU admissions, children with ANSD had a higher association with use of furosemide ( P < .001) and ventilator ( P < .001). Conclusion Despite a statistically significant increase in NICU admissions and total ANSD diagnosis, the incidence of ANSD in the NICU population has not increased from 2009 to 2018. Furosemide and mechanical ventilator use were associated with increased likelihood of ANSD.

Health Information System for Home Visits

2019 ◽  
Author(s):  
Anuchit Nirapai ◽  
Jittarporn Somchue ◽  
Pongsiri Chaikot ◽  
Nipa Kimsungnoen ◽  
Manas Sangworasil ◽  
...  
Keyword(s):  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Home Visits

Readmissions in neonatal ECMO survivors: a pediatric health information system database analysis

2021 ◽  
Author(s):  
Ashley Song ◽  
Michael Fenlon ◽  
Lorraine I. Kelley-Quon ◽  
Cynthia L. Gong ◽  
Leah Yieh ◽  
...  
Keyword(s):  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Database Analysis ◽  
Pediatric Health ◽  
System Database
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