Evidence map›Paper›PMID 34120302›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2021

Pill Counting in the Determination of Factors Affecting Medication Adherence in Patients with Type 2 Diabetes: A Retrospective Observational Study.

Megumi Shiomi, Momoka Kurobuchi, Yoichi Tanaka, Tesshu Takada, Katsuya Otori

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 1 institution in 1 country.

Megumi ShiomiDepartment of Clinical Pharmacy, School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan. shiomim@pharm.kitasato-u.ac.jp.
Momoka KurobuchiDepartment of Clinical Pharmacy, School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Yoichi TanakaDepartment of Clinical Pharmacy, School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Tesshu TakadaDepartment of Endocrinology, Diabetes, and Metabolism, School of Medicine, Kitasato University, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan.
Katsuya OtoriDepartment of Clinical Pharmacy, School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Kitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFor medication adherence, pill counting has higher accuracy in objective assessment. However, previous reports have shown that factors such as psychological bias and other people's involvement in managing and helping patients take their medications may influence the outcomes. In Japan, all prescription medicines of patients are checked by medical reconciliation, and a pill count is performed during hospitalization. This study investigated factors affecting the medication adherence of patients with type 2 diabetes mellitus (T2DM), including patient- and medication-related factors, by pill counting using medical reconciliation in a situation where the patient's psychological bias is low.

methodsThis study included 103 patients with T2DM who had been treated with oral hypoglycemic agents (OHAs) for at least 24 weeks. Patients whose OHAs were managed by another person were excluded. We calculated medication adherence values (MAVs) according to the following formula: MAV = (total prescription days - prescription days of OHAs brought when admitted)/(days from the start of OHAs to hospitalization). The relationship between MAVs and patient- and medication-related factors was analyzed.

resultsOn multiple linear regression analysis of patient-related factors with P < 0.10 in the univariate analysis as explanatory variables, a lower number of chronic diseases (β = 0.017; P < 0.001) and higher number of OHAs (β = - 0.021; P = 0.04) were independent factors for lower MAV. Medication-related factors were not found to be independent factors.

conclusionsOur findings suggest that poor adherence was independently associated with lower number of chronic diseases and higher number of OHAs in patients with T2DM.

Indexed as

Low physical biasMedical reconciliationMedication adherenceMedication adherence valuePill countSelf-adherence of patientsType 2 diabetes mellitus

Identifiers

PMID34120302
PMCPMC8266921
OpenAlexW3167554071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.