Clinical and Sociodemographic Predictors of the Quality of Life among Patients with
            Type 2 Diabetes Mellitus on the East Coast of Peninsular Malaysia

Jusoh, Zaleha; Tohid, Hizlinda; Omar, Khairuddin; Muhammad, Noor Azimah; Ahmad, Saharuddin

doi:10.21315/mjms2018.25.1.10

Cited by 10 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Good quality of life will produce a better outcome of disease control and overall health status. It indirectly will improve patient satisfaction towards themselves and the treatment given (18)(19)(20)(21). It indirectly will improve patient satisfaction towards themselves and the treatment given.…”

Section: Introductionmentioning

confidence: 99%

“…This target, however, should be less strict compared to the adult population. However, few medical practitioners are aware of the elderly's degree of quality of life in terms of sugar management (11,14,(18)(19)(20). The dilemma among clinicians is the possibility of further deterioration of quality of life with stricter treatment and intense medications towards sugar control (21,22).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diabetes Quality of Life Among Elderly Diabetic Patients and Its Associations

Shalihin¹,

Mukhali²,

Zubaidi³

et al. 2022

MJMHS

View full text Add to dashboard Cite

Introduction: The number of elderly diabetes patients is rising all over the world. Therefore, the quality of life of older people as well as the factors that influence it are aimed to be evaluated in this study. Method: A cross-sectional study was carried out on 269 senior diabetes patients from government health clinic in Kuantan, Pahang. Their sociodemographic information was gathered, and the Diabetes Quality of Life Instrument (DQoL) was used to assess their quality of life. The connection between DQoL domains and covariates was determined by Mann-Whitney U test and the Kruskal-Wallis test. Linear regression analysis was used to find the predictors. Results: : The majority of patients in the B40 groups had at least a primary level of education (52.2%) and a source of income (97.3%).The majority of the clinics (61.3 %) were located in rural areas and did not have a family medicine specialist on staff (77.7 %). The majority of the patients had uncontrolled diabetes (71.7%), uncontrolled blood pressure (63.2%), uncontrolled cholesterol levels (74.0%), and abnormal abdominal circumferences (84.8%). Clinic location, diabetes control status, and old age were statistically significant in predicting the quality of life. Conclusion: Despite the perception of a significant risk of problems, this study found that decreasing the HbA1c goal further improved the quality of life of older patients. Those clinic headed by family medicine specialist gave the highest degree of patient quality of life. As a result, additional primary care physicians should be trained, as well as local treatment measures.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diabetes Quality of Life Among Elderly Diabetic Patients and Its Associations

Shalihin¹,

Mukhali²,

Zubaidi³

et al. 2022

MJMHS

View full text Add to dashboard Cite

show abstract

“…However, participants who work in the private sector had a higher probability of having health insurance than participants in other occupations [ 41 ]. The pensioners are likely to be in the low-income category; this may be their barrier to paying health insurance premiums [ 78 ]. In addition, financial disasters may delay patients’ treatments and lead to diabetes-related complications [ 79 ] and diabetes-related hospitalisations, further burdening their financial status [ 8 , 80 ].…”

Section: Discussionmentioning

confidence: 99%

Health insurance status and its determinants among patients with type 2 diabetes mellitus in a tertiary teaching hospital in Malaysia

et al. 2022

View full text Add to dashboard Cite

Introduction Even in a country with a tax-based healthcare financing system, health insurance can play an important role, especially in the management of chronic diseases with high disease and economic burden such as Type 2 Diabetes Mellitus (T2DM). The insurance coverage among T2DM patients in Malaysia is currently unclear. The aim of this study was to determine the insurance status of T2DM patients in public and private healthcare facilities in Malaysia, and the association between this status and patients’ sociodemographic and economic factors. Methods A cross-sectional study among T2DM patients seeking inpatient or outpatient treatment at a public tertiary hospital (Hospital Canselor Tuanku Muhriz) and a private tertiary hospital (Universiti Kebangsaan Malaysia Specialist Centre) in Kuala Lumpur between August 2019 and March 2020. Patients were identified via convenience sampling using a self-administered questionnaire. Data collection focused on identifying insurance status as the dependent factor while the independent factors were the patients’ sociodemographic characteristics and economic factors. Results Of 400 T2DM patients, 313 responded (response rate, 78.3%) and 76.0% were uninsured. About 69.6% of the respondents had low monthly incomes of <RM5000. Two-thirds of participants (59.1%) spent RM100–500 for outpatient visits whilst 58.5% spent <RM100 on medicines per month (RM1 = USD0.244). Patients who visited a private facility had five times more likely to have insurance than patients who visited a public facility. Participants aged 18–49 years with higher education levels were 4.8 times more likely to be insured than participants aged ≥50 years with low education levels (2 times). Conclusions The majority of T2DM patients were uninsured. The main factors determining health insurance status were public facilities, age of ≥ 50 years, low education level, unemployment, and monthly expenditure on medicines.

show abstract

“…[11][12][13][14] There are two main types of research tools which usually use to measure QoL among DM patients, that is, generic or disease-specific. [8,15,16] This study was conducted in central Malaysia to determine QoL in DM patients using a self-develop tool.…”

Section: Original Articlementioning

confidence: 99%

Untitled

Iqbal¹

2020

AJP

View full text Add to dashboard Cite

Objective: This study aimed to measure the impact of diabetes mellitus (DM) on patients' quality of life (QoL). Materials and Methods: This cross-sectional study involved DM patients that underwent follow-up at a hospital in central Malaysia. Data were collected using self-developed and self-administered questionnaire. Statistical analysis was performed using Statistical Package for the Social Sciences version 24. Results: Around 75 (56.8%) of the patients were satisfied with their daily routine life activities. A total of 88 (66.7%) were also satisfied with their family and friends' relationships. On the contrary, 109 (82.6%) were not satisfied with their sexual life. There was a statistically significant correlation observed between age and QoL. Conclusion: This study showed that the majority of DM patients had moderate QoL. Diet, living conditions, and concerns about the future had also a greater influence on their overall QoL.

show abstract

Clinical and Sociodemographic Predictors of the Quality of Life among Patients with Type 2 Diabetes Mellitus on the East Coast of Peninsular Malaysia

Cited by 10 publications

References 25 publications

Diabetes Quality of Life Among Elderly Diabetic Patients and Its Associations

Diabetes Quality of Life Among Elderly Diabetic Patients and Its Associations

Health insurance status and its determinants among patients with type 2 diabetes mellitus in a tertiary teaching hospital in Malaysia

Untitled

Contact Info

Product

Resources

About