Evidence map›Paper›PMID 36554053›Full record

ArticleHealthcare (Basel, Switzerland)2022

Satisfaction of Tuberculosis Patients with Directly Observed Treatment Strategy under Pakistan Health Care Policy: A Mixed-Method Study.

Chitralada Chaiya, Sanaullah Panezai, Shahab E Saqib, Muhammad Ashraf

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. 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
–field-weighted citation impact
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.

  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

4 authors.

Chitralada ChaiyaCollege of Politics and Governance, Mahasarakham University, Maha Sarakham 44150, Thailand.ORCID 0000-0002-7816-9151
Sanaullah PanezaiDepartment of Geography and Regional Planning, University of Balochistan, Quetta 87300, Pakistan.ORCID 0000-0003-1460-1790
Shahab E SaqibDirectorate of Commerce Education and Management Sciences, Higher Education Department Khyber Pakhtunkhwa, Peshawar 25000, Pakistan.ORCID 0000-0003-0326-5197
Muhammad AshrafDepartment of Disaster Management and Development Studies, University of Balochistan, Quetta 87300, Pakistan.

Funding

Mahasarakham University N/A
6 · The paper itself

Abstract

(1) Background: Patients' satisfaction is based on the perceived health care services of individuals and is influenced by the level of care provided by the health care system. It is often based on the patients' expectations of care and self-assessment of their experiences. The success of the Directly Observed Treatment Strategy (DOTS) also depends on the quality of health care provided at the Tuberculosis (TB) centers, which can be evaluated by satisfaction levels of the patients. (2) Methods: A tuberculosis facility-based cross-sectional study was carried out in Khyber Pakhtunkhwa province in Pakistan. A mixed-method approach was adopted for data collection. An interviewer-administered questionnaire was used for quantitative data collection from 269 patients who were registered at 11 TB centers and private clinics. Qualitative data were collected through 20 in-depth interviews, 15 key informant interviews, and a focus-group discussion. Binary logistic regression was employed for analysis of the data. (3) Results: More than half of the respondents (63.94%) were satisfied with the DOTS strategy. A high percentage of patients were dissatisfied with the availability of safe water, waiting space for patients, waiting time, privacy, and the processing of appointments. Results from the binary logistic regression showed that gender (AOR = 2.21, CI 1.07-4.58,

Indexed as

acceptability of health carehealth behaviorPakistanpatient satisfactionservicestuberculosis

Identifiers

PMID36554053
PMCPMC9778783

What OpenQuestion holds

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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.