Evidence map›Paper›PMID 36793920›Full record

ArticlePharmacy practice

The impact of telepharmacy on hypertension management in the United Arab Emirates.

Osama Mohamed Ibrahim, Ahmad Z Al Meslamani, Rana Ibrahim, Rawan Kaloush, Nadia Al Mazrouei

Open access · diamondAbstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

5 authors at 3 institutions in 2 countries.

Osama Mohamed IbrahimDepartment of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah. United Arab Emirates. Department of Clinical Pharmacy, Faculty of Pharmacy, Cairo University, Egypt. oibrahim@sharjah.ac.ae.ORCID https://orcid.org/0000-0002-2868-039X
Ahmad Z Al MeslamaniCollege of Pharmacy, AAU Health and Biomedical Research Center, Al Ain University, Abu Dhabi, United Arab Emirates. amaslamanie1095@gmail.com, ahmad.almeslamani@aau.ac.ae.ORCID https://orcid.org/0000-0002-9584-3325
Rana IbrahimDepartment of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah. United Arab Emirates. ribrahim@sharjah.ac.ae.ORCID https://orcid.org/0000-0003-4048-0937
Rawan KaloushFaculty of Pharmacy, Philadelphia University, Amman, Jordan. trrawan93@gmail.com.ORCID https://orcid.org/0000-0002-9104-3852
Nadia Al MazroueiDepartment of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah. United Arab Emirates. nalmazrouei@sharjah.ac.ae.ORCID https://orcid.org/0000-0002-1339-9730
University of Sharjah · AEAl Ain University · AEPhiladelphia University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the effectiveness of telepharmacy services delivered by community pharmacies in hypertension management and examine its influence on pharmacists' ability to identify drug-related problems (DRPs). Methods: This was a 2-arm, randomised, clinical trial conducted among 16 community pharmacies and 239 patients with uncontrolled HTN in the U.A.E over a period of 12 months. The first arm (n=119) received telepharmacy services and the second arm (n=120) received traditional pharmaceutical services. Both arms were followed up to 12 months. Pharmacists self-reported the study outcomes, which primarily were the changes in SBP and DBP from baseline to 12-month meeting. Blood pressure readings were taken at baseline, 3, 6, 9, and 12 months. Other outcomes were the mean knowledge, medication adherence and DRP incidence and types. The frequency and nature of pharmacist interventions in both groups were also reported. Results: The mean SBP and DBP differences were statistically significant across the study groups at 3-, 6-, and 9-month follow-up and 3-, 6-, 9-, 12- month follow-up, respectively. In detail, the mean SBP was reduced from 145.9 mm Hg in the intervention group (IG) and 146.7 mm Hg in the control group (CG) to 124.5, 123.2, 123.5, and 124.9 mm Hg at 3-, 6-, 9-, and 12-month follow-up in the IG and 135.9, 133.8, 133.7, and 132.4 mm Hg at 3-, 6-, 9-, and 12-month follow-up in the CG. The mean DBP was reduced from 84.3 mm Hg in IG and 85.1 mm Hg in CG to 77.6, 76.2, 76.1, and 77.8 mm Hg at 3-, 6-, 9-, and 12-month follow-up in the IG and 82.3, 81.5, 81.5, and 81.9 mm Hg at 3-, 6-, 9-, and 12-month follow-up in the CG. Medication adherence and knowledge of participants in the IG towards hypertension were significantly improved. The DRP incidence and DRPs per patient identified by pharmacists in the intervention and control groups were 2.1% versus 1.0% (p=0.002) and 0.6 versus 0.3 (p=0.001), respectively. The total numbers of pharmacist interventions in the IG and CG were 331 and 196, respectively. The proportions of pharmacist interventions related to patient education, cessation of drug therapy, adjustment of drug dose, and addition of drug therapy across the IG and CG were 27.5% versus 20.9%, 15.4% versus 18.9%, 14.5% versus 14.8%, and 13.9% versus 9.7%, respectively (all with p<0.05). Conclusion: Telepharmacy may have a sustained effect for up to 12 months on blood pressure of patients with hypertension. This intervention also improves pharmacists' ability to identify and prevent drug-related problems in community setting.

Indexed as

community pharmacieshypertensiontelepharmacy

Identifiers

PMID36793920
PMCPMC9891772
OpenAlexW4311133159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.