Clinical information systems for the management of tuberculosis in primary health care.

Rev Lat Am Enfermagem

PhD, Doctor degree in Nursing, Full Professor, Maternal-Infant and Public Health Department at Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, PAHO/WHO Collaborating Centre for Nursing Research Development, Brazil.

Published: December 2017

Objective: to analyze the clinical information systems used in the management of tuberculosis in Primary Health Care.

Method: descriptive, quantitative cross-sectional study with 100 health professionals with data collected through a questionnaire to assess local institutional capacity for the model of attention to chronic conditions, as adapted for tuberculosis care. The analysis was performed through descriptive and inferential statistics.

Results: Nurses and the Community Health Agents were classified as having fair capacity with a mean of 6.4 and 6.3, respectively. The city was classified as having fair capacity, with a mean of 6.0 and standard deviation of 1.5. Family Health Units had higher capacity than Basic Health Units and Mixed Units, although not statistically relevant. Clinical records and data on tuberculosis patients, items of the clinical information systems, had a higher classification than the other items, classified as having fair capacity, with a mean of 7.3 and standard deviation of 1.6, and the registry of TB patients had a mean of 6.6 and standard deviation of 2.0.

Conclusion: clinical information systems are present in the city, mainly in clinical records and patient data, and they have the contribution of professionals linked with tuberculosis patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738857PMC
http://dx.doi.org/10.1590/1518-8345.2238.2964DOI Listing

Publication Analysis

Top Keywords

clinical systems
16
classified fair
12
fair capacity
12
standard deviation
12
systems management
8
management tuberculosis
8
tuberculosis primary
8
primary health
8
capacity standard
8
health units
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!