A proposed Integrated Medicine Management System Tool based on System, Utilization and Evidence Based Theory for Malaysian Health Information System Optimization

2021 ◽  
Author(s):  
Rabbia Alamdar ◽  
Allan Mathews ◽  
Sharanjit Kaur
Keyword(s):  
Information System ◽  
Health Information ◽  
Management System ◽  
Health Information System ◽  
System Optimization ◽  
Evidence Based ◽  
Integrated Medicine ◽  
Medicine Management ◽  
System Utilization

scholarly journals Routine Health Information System Utilization for Evidence-Based Decision Making in Amhara National Regional State, Northwest Ethiopia: a multi-level analysis.

2020 ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Performance Monitoring ◽  
Health Information System ◽  
Evidence Based ◽  
Department Heads ◽  
Target Setting ◽  
Work Location ◽  
And Performance

Abstract Background: Health Information System (HIS) is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it in 2017. However, the evidence is meager on the use of routine health information for decision making among department heads in the health facilities. The study aimed to assess the proportion of routine health information systems utilization for evidence-based decisions and factors associated with it. Method: A cross-sectional study was carried out among 386 department heads from 83 health facilities in ten selected districts in the Amhara region Northwest of Ethiopia from April to May 2019. The study participants were selected using a simple random sampling technique. Descriptive statistics mean and percentage were calculated. The study employed a generalized linear mixed-effect model. Adjusted Odds Ratio (AOR) and the 95% CI were calculated. Variables with p-value <0.05 were considered as predictors of routine health information system use. Result: Proportion of information use among department heads for decision making was estimated at 46%. Displaying demographic (AOR= 12.42, 95% CI: [5.52, 27.98]) and performance (AOR= 1.68; 95% CI: [1.33, 2.11]) data for monitoring, and providing feedback to HMIS unit (AOR= 2.29; 95% CI: [1.05, 5.00]) were individual (level-1) predictors. Maintaining performance monitoring team minute (AOR= 3.53; 95% CI: [1.61, 7.75]), receiving senior management directives (AOR= 3.56; 95% CI: [1.76, 7.19]), supervision (AOR= 2.84; 95% CI: [1.33, 6.07]), using HMIS data for target setting (AOR= 3.43; 95% CI: [1.66, 7.09]), and work location (AOR= 0.16; 95% CI: [0.07, 0.39]) were organizational (level-2) explanatory variables. Conclusion: The proportion of routine health information utilization for decision making was low. Displaying demographic and performance data, providing feedback to HMIS unit, maintaining performance monitoring team minute, conducting supervision, using HMIS data for target setting, and work location were factors associated with the use of routine health information for decision making. Therefore, strengthening the capacity of department heads on data displaying, supervision, feedback mechanisms, and engagement of senior management are highly recommended.

scholarly journals Routine health information system utilization for evidence-based decision making in Amhara national regional state, northwest Ethiopia: a multi-level analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Performance Monitoring ◽  
Health Information System ◽  
Evidence Based ◽  
Department Heads ◽  
Target Setting ◽  
Work Location ◽  
And Performance

Abstract Background Health Information System is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it in 2017. However, the evidence is meager on the use of routine health information for decision making among department heads in the health facilities. The study aimed to assess the proportion of routine health information systems utilization for evidence-based decisions and factors associated with it. Method A cross-sectional study was carried out among 386 department heads from 83 health facilities in ten selected districts in the Amhara region Northwest of Ethiopia from April to May 2019. The single population proportion formula was applied to estimate the sample size taking into account the proportion of data use 0.69, margin of error 0.05, and the critical value 1.96 at the 95% CI. The final sample size was estimated at 394 by considering 1.5 as a design effect and 5% non-response. The study participants were selected using a simple random sampling technique. Descriptive statistics mean and percentage were calculated. The study employed a generalized linear mixed-effect model. Adjusted Odds Ratio (AOR) and the 95% CI were calculated. Variables with p value < 0.05 were considered as predictors of routine health information system use. Result Proportion of information use among department heads for decision making was estimated at 46%. Displaying demographic (AOR = 12.42, 95% CI [5.52, 27.98]) and performance (AOR = 1.68; 95% CI [1.33, 2.11]) data for monitoring, and providing feedback to HMIS unit (AOR = 2.29; 95% CI [1.05, 5.00]) were individual (level-1) predictors. Maintaining performance monitoring team minute (AOR = 3.53; 95% CI [1.61, 7.75]), receiving senior management directives (AOR = 3.56; 95% CI [1.76, 7.19]), supervision (AOR = 2.84; 95% CI [1.33, 6.07]), using HMIS data for target setting (AOR = 3.43; 95% CI [1.66, 7.09]), and work location (AOR = 0.16; 95% CI [0.07, 0.39]) were organizational (level-2) explanatory variables. Conclusion The proportion of routine health information utilization for decision making was low. Displaying demographic and performance data, providing feedback to HMIS unit, maintaining performance monitoring team minute, conducting supervision, using HMIS data for target setting, and work location were factors associated with the use of routine health information for decision making. Therefore, strengthening the capacity of department heads on data displaying, supervision, feedback mechanisms, and engagement of senior management are highly recommended.

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.

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