Using_the_Literature_MATRIX
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Nov 24, 2024
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Using the Literature MATRIX
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Using the Literature MATRIX
Ridho et al.'s (2022) study intended to systematically review randomized controlled trials
(RCTs) focusing on digital health technologies and their impact on medication adherence and
treatment outcomes in patients with tuberculosis. The study is a systematic review, which falls
under the category of observational research. It involves the synthesis of existing research to
draw conclusions and identify patterns. The study's objective was to evaluate how well digital
health technology can improve tuberculosis patients' treatment outcomes and medication
adherence. The sample includes participants from the 16 RCTs that were reviewed since they had
investigated whether digital health technologies can be effectively utilized for tuberculosis
management. The study indicates that the analyzed articles were chosen from a sample of 552
studies that met the inclusion criteria.
Granting the underlying article does not explicitly state information about the setting, the
settings of the reviewed RCTs varied since the trials were conducted from different locations.
The source of data was the RCTs included in the provided systematic review. The information
gathered from these trials underwent analysis to determine the influence of digital health
technologies on both medication adherence and treatment outcomes in individuals with
tuberculosis. The primary findings of the investigation suggested that digital health technologies
hold the capacity to enhance medication adherence and treatment outcomes among tuberculosis
patients. These conclusions are drawn from the amalgamated evidence derived from the
randomized controlled trials scrutinized in the study(Ridho et al., 2022). However, although the
underlying study provides substantial evidence that supports the PICOT question, it is limited
since there exists the possibility of potential bias in the individual RCTs, variations in the
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methodologies across trials, and the lack of detailed information about the characteristics of the
study participants.
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Reference
Ridho, A., Alfian, S. D., van Boven, J. F. M., Levita, J., Yalcin, E. A., Le, L., Alffenaar, J. W.,
Hak, E., Abdulah, R., & Pradipta, I. S. (2022). Digital Health Technologies to Improve
Medication Adherence and Treatment Outcomes in Patients With Tuberculosis:
Systematic Review of Randomized Controlled Trials.
Journal of medical Internet
research
,
24
(2), e33062.
https://doi.org/10.2196/33062