Evidence map›Paper›PMID 38356837›Full record

ArticlePakistan journal of medical sciences

Impact of a pharmacist-led patient-centred care intervention along with textmessage reminders, on the management of newly diagnosed tubercular patients: A protocol for a randomized controlled trial.

Farman Ullah Khan, Faiz Ullah Khan, Khezar Hayat, Yu Fang

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. 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.

Farman Ullah KhanFarman Ullah Khan, Department of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Faiz Ullah KhanFaiz Ullah Khan, Department of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Khezar HayatKhezar Hayat, Department of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Yu FangYu Fang, Department of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Non-adherence to tuberculosis (TB) treatment is the leading cause of the increase in drug resistance cases. This study will determine the effectiveness of pharmaceutical-care-based interventions coupled with short messages delivered by a pharmacist on treatment outcomes and adherence among TB patients. Methods: The study will be conducted in TB Control Center of Pakistan Institute of Medical Sciences Hospital, Islamabad and District Bannu TB Control Center time period will be from August 2019 to September 2021. The patients will be included into the control group (usual care) or the intervention group pharmaceutical care and SMS reminder. The primary outcome includes a change in mean score from baseline in treatment outcomes and adherence, measured by Morisky Medication Adherence Scale, and clinic appointment attendance registration. Secondary outcomes include health-related quality of life of patients, disease knowledge, and patient satisfaction with the intervention. Result: The major issues in patients with TB are cure rate and medication adherence. The method anticipated in this manuscript could set the foundation of pharmaceutical care and mobile SMS for the future provision of care to improve TB treatment outcomes. Conclusion: The study will make available fundamental information about the influence of the patient centered program on the adherence and clinical outcomes of patients with TB.

Indexed as

Medication adherencePharmacist interventionRandomized controlled trialTuberculosis

Identifiers

PMID38356837
PMCPMC10862438

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Registered trials

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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.