Evidence map›Paper›PMID 34355103›Full record

ArticleHeliyon2021

Proportion and predictors of SMBG use among type 2 diabetic subjects in three tertiary care hospitals in Dhaka City.

Jannatul Nayeem, Hasina Akhter Chowdhury, Nowrin Afroze, Umme Sadia Mili, Liaquat Ali

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Jannatul NayeemDepartment of Applied Laboratory Sciences, Bangladesh University of Health Sciences (BUHS), 125/1 Darussalam, Mirpur-1, Dhaka, Bangladesh.
Hasina Akhter ChowdhuryDepartment of Biostatistics, Bangladesh University of Health Sciences (BUHS), 125/1 Darussalam, Mirpur-1, Dhaka, Bangladesh.
Nowrin AfrozeDepartment of Applied Laboratory Sciences, Bangladesh University of Health Sciences (BUHS), 125/1 Darussalam, Mirpur-1, Dhaka, Bangladesh.
Umme Sadia MiliDepartment of Diabetology & Endocrinology, Bangladesh Institute of Health Sciences & Hospital, 125/1 Darussalam, Mirpur-1, Dhaka, Bangladesh.
Liaquat AliPothikrit Institute of Health Studies, Sangskriti Bikash Kendra Bhaban, 1/E/1, Paribagh, Dhaka 1000, Bangladesh.
Bangladesh University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim was to find out the proportion of Self-monitoring of Blood Glucose (SMBG) Users and factors affecting the nonuse in three large hospitals of Dhaka city.

methodsUnder an observational cross-sectional design 598 type 2 diabetic subjects were recruited (convenient sampling) from the OPDs of 3 large tertiary care hospitals [one public hospital (PUBH), one Not-for-profit Hospital (NFPPH), and one For-profit private hospital (FPPH)] in Dhaka City. Data were analyzed by both univariate and multivariate analysis as appropriate.

resultsOverall 71% of subjects were SMBG Nonusers (PUBH 86%, NFPPH 67%, and FPPH 46%). Monthly income status and advice showed the highest impact (OR 4.66 and 3.74 respectively) on the use. Physicians (54%), relatives (34%), and friends (8.2%) were the major sources of advice. Irregular diabetes check-up and distrust of results were also among the major reasons for not using SMBG among the Nonusers.

conclusionNearly three-fourth of type 2 diabetic patients in Dhaka city do not use SMBG and the proportion is especially high in public hospitals. Poor income status of patients, lack of coordinated advice/motivation by Caregivers, irregularity in diabetes checking, and distrust on results are major predictors for not using SMBG by the patients.

Indexed as

Home blood glucose monitoringMonitoring glycemic statusSelf blood glucose monitoringSMBGSMBG nonuse predictorsType 2 DM

Identifiers

PMID34355103
PMCPMC8321936
OpenAlexW3185743914

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.