Evidence map›Paper›PMID 29236840›Full record

ArticleRevista latino-americana de enfermagem2017

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

Eliabe Rodrigues de Medeiros, Sandy Yasmine Bezerra E Silva, Cáthia Alessandra Varela Ataide, Erika Simone Galvão Pinto, Maria de Lourdes Costa da Silva, Tereza Cristina Scatena Villa

Open access · diamondAbstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Eliabe Rodrigues de MedeirosGraduated, Graduated in Nursing, MSc, Nursing Department, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil, MSc in Nursing, MSc Scholarship holder of the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
Sandy Yasmine Bezerra E SilvaGraduated, Graduated in Nursing, MSc, Nursing Department, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil, MSc in Nursing.
Cáthia Alessandra Varela AtaideEspecialist, Public Health Especialization, Residency, Medical Sciences Multicampi School, Universidade Federal do Rio Grande do Norte, Currais Novos, RN, Brazil, Residência Multiprofissional em Atenção Básica, Residency Scholarship funded by Ministério da Educação (MEC).
Erika Simone Galvão PintoEspecialist, Doctor degree in Nursing, Adjunct Professor, Nursing Department, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
Maria de Lourdes Costa da SilvaPhD, Doctor degree in Health Sciences, Adjunct Professor, Nursing Department, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
Tereza Cristina Scatena VillaPhD, 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.
Universidade Federal do Rio Grande do Norte · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto analyze the clinical information systems used in the management of tuberculosis in Primary Health Care.

methoddescriptive, 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.

resultsNurses 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.

conclusionclinical 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.

Indexed as

Health Information SystemsPrimary Health CareCross-Sectional StudiesHumansTuberculosis

Identifiers

PMID29236840
PMCPMC5738857
OpenAlexW2772227516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.