Establishing A Sorting Protocol for The Data Cleaning of Health Record Databases for Eco-Epidemiological Studies: The Case of Beirut

Abstract Background Health information records in many countries, especially developing countries, still rely on a paper-based system which, when compared to electronic systems, are disadvantageous in terms of storage and data extraction. Given the importance of health records as a data resource for epidemiological studies, guidelines for systematic data cleaning and sorting are essential, yet are largely absent in the literature. This paper discusses the process by which an electronic database was generated from emergency department registers in Lebanon and the data subsequently cleaned, sorted, and categorized.Methods Demographic and health complaint-related information was extracted from emergency department registers of a convenience sample of seven hospitals in Beirut. Appropriate categories were selected for data categorization. For health-complaint related information, disease categories and codes were selected according to the International Classification of Disease 10th Edition.Results A total of 16,537 entries were collected. Demographic information was categorized into appropriate categories and groups as required for future epidemiological studies. Analysis of the health information allowed for the creation of a sorting algorithm which then used to categorize and code the heath data. Several counts were then performed to represent and visualize the data numerically and graphically to aid in data interpretation.Conclusions The article describes the current state of health information records in Lebanon and the associated disadvantages of a paper-based system in terms of storage and data extraction and subsequent analysis. Furthermore, the article describes the algorithm by which health information was sorted and categorized to allow for future data analysis using paper records.

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Establishing a sorting protocol for healthcare databases

Journal of Public Health Research ◽

10.4081/jphr.2021.1722 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Elie Ghabi ◽

Wehbeh Farah ◽

Maher Abboud ◽

Elias Chalhoub ◽

Nelly Ziade ◽

...

Keyword(s):

Emergency Department ◽

Health Information ◽

Data Storage ◽

Data Extraction ◽

Epidemiological Studies ◽

Sorting Algorithm ◽

Electronic Systems ◽

Related Information ◽

Health Related ◽

Future Data

Background: Health information records in many countries, especially developing countries, are still paper based. Compared to electronic systems, paper-based systems are disadvantageous in terms of data storage and data extraction. Given the importance of health records for epidemiological studies, guidelines for effective data cleaning and sorting are essential. They are, however, largely absent from the literature. The following paper discusses the process by which an algorithm was developed for the cleaning and sorting of a database generated from emergency department records in Lebanon.Design and methods: Demographic and health related information were extracted from the emergency department records of three hospitals in Beirut. Appropriate categories were selected for data categorization. For health information, disease categories and codes were selected according to the International Classification of Disease 10th Edition.Results: A total of 16,537 entries were collected. Demographic information was categorized into groups for future epidemiological studies. Analysis of the health information led to the creation of a sorting algorithm which was then used to categorize and code the health data. Several counts were then performed to represent and visualize the data numerically and graphically.Conclusions: The article describes the current state of health information records in Lebanon and the associated disadvantages of a paper-based system in terms of storage and data extraction. Furthermore, the article describes the algorithm by which health information was sorted and categorized to allow for future data analysis using paper records.

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P013: What are the short-term goals of patients presenting the emergency department with an acute mental health complaint?

CJEM ◽

10.1017/cem.2017.215 ◽

2017 ◽

Vol 19 (S1) ◽

pp. S82

Author(s):

S. Barbic ◽

W.G. MacEwan ◽

A. Leon ◽

S. Chau ◽

Q. Salehmohamed ◽

...

Keyword(s):

Mental Health ◽

Emergency Department ◽

Mental Health Problems ◽

Life Time ◽

Health Complaint ◽

Coordinated Care ◽

Short Term ◽

Convenience Sample ◽

Vulnerable Patient ◽

The Right

Introduction: In the last year, Canada published its Strategy for Patient-Oriented Research (SPOR) to ensure that patients receive the right treatment at the right time. Approximately, one in five Canadians will experience a mental illness in their life time, with many presenting to the Emergency Department (ED) as their entry point into the system. In order to improve patient outcomes and focus on patient-identified priorities, the aim of this study was to identify the short-term goals of patients with an acute mental health complaint (AMHC) presenting to the ED. Methods: We prospectively recruited a convenience sample of patients presenting to an inner city, academic ED with an annual census of 85,000 visits. Patients provided written informed consent and completed a survey package that included questions about employment intentions and short-term life goals. We collated the goals and used a content analysis to summarize the frequency of themes that emerged. Results: This study reports on the preliminary data from 108 of the targeted 200 patients (mean age 39.7 ±13.6 years; 65% male). A total of 75% of participants reported being unemployed, 84% of whom reported that they would like to gain some form of employment in the near future. Over half the sample (52%) identified that they were not satisfied with their current housing situation. In addition to improving housing and obtaining work, improving mental health (n=34), improving relationships with family or friends (n=27), going back to school (n=22) and managing addiction problems (n=20) were identified as the most common short-term goals. Other goals/priorities included improving physical health, traveling, exercising, and eating better. Conclusion: This study provides new information about the priorities of adults presenting with AMHC to the ED. It also offers insight into how to collaborate with patients to build sustainable, accessible, and coordinated care pathways that can bring about positive changes in their lives. This information can be used to compliment current care for mental health problems, ensuring greater quality, accountability, and continuity of care for this vulnerable patient group.

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The Voices of Persons Living With Dementia: Exploring Their Information Needs to Live Well

Innovation in Aging ◽

10.1093/geroni/igaa057.195 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 60-60

Author(s):

Michelle Kimzey ◽

Ramona Baucham ◽

Chelsea Martin ◽

Carol Howe

Keyword(s):

Health Literacy ◽

Health Information ◽

Information Needs ◽

Hybrid Approach ◽

Convenience Sample ◽

Health Decisions ◽

People With Dementia ◽

Care Partners ◽

Diagnosis Of Dementia ◽

Services And Supports

Abstract There are unique challenges and considerations when receiving the diagnosis of dementia. There are interventions, services, and supports for people with dementia and their care partners, yet they are often unknown, disconnected, and may not be widely available or easily accessible. Health literacy was defined as the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions. Using a descriptive qualitative design, the purpose of this study was to describe how persons living with dementia and their care partners obtain, understand, and use information to make health decisions to live well with dementia. The convenience sample consisted of 28 care partners and 15 people living with dementia participating in 6 separate focus groups. To illuminate findings, data was analyzed using a hybrid approach (deductive followed by inductive). Four themes emerged deductively as persons gain health literacy in dementia (access, understand, appraise, and understand). The notable finding is the trend at diagnosis where they first are “seeking the expert” ,and as they move from dependence and gain understanding they are “becoming the expert”, and finally as they apply information they are “acting as the expert” for themselves and others. Engaging them in research not only gave them a voice but more importantly it influenced the health information that will be developed and implemented by them. These findings suggest there is a wealth of knowledge to be gained by persons living with dementia and their care partners.

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Epidemiology of hepatitis E virus infection in animals in Africa: a systematic review and meta-analysis

BMC Veterinary Research ◽

10.1186/s12917-021-02749-5 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Abdou Fatawou Modiyinji ◽

Jean Joel Bigna ◽

Sebastien Kenmoe ◽

Fredy Brice N. Simo ◽

Marie A. Amougou ◽

...

Keyword(s):

Systematic Review ◽

Hepatitis E Virus ◽

Data Extraction ◽

Meta Analysis ◽

Hepatitis E ◽

Epidemiological Studies ◽

Cross Sectional ◽

Resource Limited ◽

Study Selection ◽

Language Restriction

Abstract Background Hepatitis E virus (HEV) is a major cause of acute hepatitis in humans worldwide and have high burden in the resource-limited countries. Better knowledge of the epidemiology of hepatitis in animals in Africa can help to understand the epidemiology among humans. The objective of this study was to summarize the prevalence of HEV infection and distribution of HEV genotypes among animals in Africa. Methods In this systematic review and meta-analysis, we comprehensively searched PubMed, EMBASE, African Journals Online, and Africa Index Medicus from January 1st, 2000 to March 22th, 2020 without any language restriction. We considered cross-sectional studies of HEV infection in animals in Africa. Study selection, data extraction, and methodological quality of included studies were done independently by two investigators. Prevalence data were pooled using the random-effects meta-analysis. This review was registered in PROSPERO, CRD42018087684. Results Twenty-five studies (13 species and 6983 animals) were included. The prevalence (antibodies or ribonucleic acid [RNA]) of HEV infection in animals varied widely depending on biological markers of HEV infection measured: 23.4% (95% confidence interval; 12.0–37.2) for anti-HEV immunoglobulins G, 13.1% (3.1–28.3) for anti-HEV immunoglobulins M, and 1.8% (0.2–4.3) for RNA; with substantial heterogeneity. In subgroup analysis, the immunoglobulins G seroprevalence was higher among pigs 37.8% (13.9–65.4). The following HEV genotypes were reported in animals: Rat-HEV genotype 1 (rats and horses), HEV-3 (pigs), HEV-7 (dromedaries), and Bat hepeviruses (bats). Conclusions We found a high prevalence of HEV infection in animals in Africa and HEV genotypes close to that of humans. Some animals in Africa could be the reservoir of HEV, highlighting the need of molecular epidemiological studies for investigating zoonotic transmission.

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Child Life Reduces Distress and Pain and Improves Family Satisfaction in the Pediatric Emergency Department

Clinical Pediatrics ◽

10.1177/0009922818798386 ◽

2018 ◽

Vol 57 (13) ◽

pp. 1567-1575 ◽

Cited By ~ 5

Author(s):

Natasha Sanchez Cristal ◽

Jennifer Staab ◽

Rachel Chatham ◽

Sarah Ryan ◽

Brian Mcnair ◽

...

Keyword(s):

Emergency Department ◽

Rating Scale ◽

Pediatric Trauma ◽

Family Satisfaction ◽

Pediatric Emergency ◽

Child Life ◽

Convenience Sample ◽

Patient Cooperation ◽

To Receive ◽

Pain Rating Scale

This study evaluated the effects of Certified Child Life Specialist (CCLS) intervention on pediatric distress and pain and family satisfaction during routine peripheral intravenous (PIV) line placement in the emergency department (ED). A convenience sample of 78 children (3-13 years) requiring PIV placement for their treatment at a regional level 1 pediatric trauma center ED with 70 000 annual visits were selected to receive either standard nursing care or CCLS intervention for PIV placement. CCLS involvement was associated with fewer negative emotional behaviors as indicated by a lower score on the Children’s Emotional Manifestation Scale (−3.37 ± 1.49, P = .027), a reduction in self-reported pain on the Wong-Baker Faces pain rating scale (−1.107 ± 0.445, P = .017), an increase in parent-reported patient cooperation during PIV placement, and greater satisfaction with the ED visit. This study demonstrates that Child Life can have an impact on important outcomes in the pediatric ED such as distress, pain, and visit satisfaction.

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Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.1804 ◽

2011 ◽

Vol 403-408 ◽

pp. 1804-1807

Author(s):

Ning Zhao ◽

Shao Hua Dong ◽

Qing Tian

Keyword(s):

Data Mining ◽

Decision Tree ◽

Arc Welding ◽

Data Cleaning ◽

Data Extraction ◽

Electric Arc ◽

Welded Tube ◽

Electric Arc Welding ◽

Decision Tree Method ◽

Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

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The influence of public health information sharing on social media during the early COVID-19 outbreak

Data Technologies and Applications ◽

10.1108/dta-09-2020-0232 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Chiao-Chieh Chen ◽

Yu-Ping Chiu

Keyword(s):

Social Media ◽

Information Sharing ◽

Health Information ◽

Content Type ◽

Related Information ◽

Activity Effect ◽

Network Cluster ◽

Public Health Information ◽

Health Information Sharing

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.

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THE ROLE OF HEALTH INFORMATION SYSTEM IN MATERNAL AND CHILD HEALTHCARE SERVICES

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10i6.15918 ◽

2017 ◽

Vol 10 (6) ◽

pp. 29

Author(s):

Rakhi Chowdhury ◽

Leena Kumari ◽

Subhamay Panda

Keyword(s):

Health Care ◽

Information System ◽

Child Health ◽

Health Information ◽

Maternal And Child Health ◽

Health Information System ◽

Health Care Sector ◽

Related Information ◽

Health Related ◽

And Child Health

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.

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