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Profile and predictors of health related quality of life among type II diabetes mellitus patients in Quetta city, Pakistan

Overview of attention for article published in Health and Quality of Life Outcomes, July 2017
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Title
Profile and predictors of health related quality of life among type II diabetes mellitus patients in Quetta city, Pakistan
Published in
Health and Quality of Life Outcomes, July 2017
DOI 10.1186/s12955-017-0717-6
Pubmed ID
Authors

Qaiser Iqbal, Noman ul Haq, Sajid Bashir, Mohammad Bashaar

Abstract

This study aims to assess the profile and predictors of Health-Related Quality of Life (HRQoL) in Type II Diabetes Mellitus (T2DM) patients in Quetta, Pakistan. The study was designed as a questionnaire based, cross sectional analysis. 300 Type II diabetic patients attending public and private hospitals were targeted for data collection. In addition to demographic and disease related information, Euroqol Quality of Life was used to measure HRQoL. Moreover, Drug Attitude Inventory and Michigan Diabetes Knowledge Test were used to assess medication adherence and diabetes related knowledge respectively. Treatment satisfaction was assessed by patient's experience towards health care professionals and available facilities. Descriptive statistics were used to elaborate patients' demographic and disease related characteristics. Binary logistic regression was used to predict factors independently associated with HRQoL. SPSS v. 20 was used for data analysis and p < 0.05 was taken as significant. Patients in the current study reported poor HRQoL with a mean score of 0.48 ± 0.36. Age, duration of disease, number of prescribed drugs, medication adherence and treatment satisfaction were significantly associated (p < 0.05) with HRQoL in the cross tabulation analysis. The significant variables were entered into the model that showed significant goodness of fit with highly significant Omnibus Test of Model Coefficient (Chi-square = 12.983, p = 0.030, df = 4). Medication adherence was reported as a significant predictor of HRQoL with an increase of one adherence score was associated with improvement of HRQoL by a factor of 1.75 provided other variables remain constant. The study presents a model that is associated with HRQoL with patient with T2DM, where medication adherence shaped as a predictor of HRQoL. Healthcare professionals should pay special attention on patients' medication taking behavior and should put their efforts in explaining the benefits of the medication adherence to the patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 11%
Student > Bachelor 12 9%
Student > Ph. D. Student 11 8%
Researcher 9 7%
Student > Postgraduate 9 7%
Other 25 19%
Unknown 51 39%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Nursing and Health Professions 20 15%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Psychology 6 5%
Agricultural and Biological Sciences 5 4%
Other 13 10%
Unknown 58 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2017.
All research outputs
#17,905,157
of 22,988,380 outputs
Outputs from Health and Quality of Life Outcomes
#1,511
of 2,185 outputs
Outputs of similar age
#224,293
of 312,506 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#39
of 57 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.