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Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

Volume 11, Issue 1 (2020)

Research Article Pages: 1 - 5

Modeling National Trends on Health in the Philippines using ARIMA

Florence Jean B Talirongan*, Hidear Talirongan and Markdy Y Orong

DOI: 10.37421/jhmi.2020.11.342

Health is a very important prerequisite in people’s well-being and happiness. Several studies were more focused on presenting the occurrence on specific disease like forecasting the number of dengue and malaria cases. This paper utilized the time series data for trend analysis and data forecasting using ARIMA model to visualize the trends of health data on the ten leading causes of deaths, leading cause of morbidity and leading cause of infants’ deaths particularly in the Philippines presented in a tabular data. Figures for each disease trend are presented individually with the use of the GRETL software. Result forecasted that after fourteen years, among the ten leading causes of death, disease of the heart rank first and the last is certain conditions originating in perinatal period; for the leading cause of morbidity, acute respiratory infection is the most vulnerable and tuberculosis (TB) other forms is the least vulnerable; and for the leading cause of infant’s death, first in order is the all causes and the last in rank is diarrhea and gastroenteritis of presumed infectious origin. Future research work will focus on the measles and chickenpox trends and predictions utilizing another algorithms for trend analysis and forecasting.

Research Article Pages: 1 - 4

Technological Hindrances of Behavioral Medicine Patient Access: A Literature Review

Jacob A. Rounds*, Judith W. Dexheimer, Heidi CurtisD and Bethani Studebaker

DOI: doi: 10.37421/jhmi.2020.11.343

Technology is a pervasive tool utilized throughout inpatient and outpatient hospital care. Behavioral medicine has a plethora of technology to integrate and support medical infrastructure and processes.

A systematic literature review was performed to classify the technological hinderances that specifically plague behavioral medicine. Researchers examined articles contained within the databases of CORE, Elsevier, PubMed, ResearchGate, and ScienceOpen and pulled all relevant articles. A total of 85 articles were collected after the removal of duplicates.

Several themes have been identified in the systematic literature review that negatively affects behavioral medicine treatment at the provider, clinical staff, non-clinical staff, patient, and organizational levels. These themes are a lack of behavioral medicine patient resources, a surfeit of stigmas surrounding treatment, higher levels of comorbidities in these patients as compared to non-behavioral medicine specialties, and a reliance on outdated educational protocols for training staff. The themes significantly affect patients within the behavioral medicine specialty more than other subsectors of medicine due to the unique ailments that behavioral medicine encompasses.

The future climate of behavioral medicine treatment could be affected by the aforementioned hinderances. However, evidence in the literature review displays positive findings when employee education and technological integration are combined. Further research should be directed towards the implementation of SBE into clinical and non-clinical behavioral medicine employee training.

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