Medical appointment no‐shows associated with poor glycaemic control among <scp>T</scp>aiwanese aborigines

Liou, Jyun-you; Mu, Chia-Fen; Hsu, Chao‐Yu

doi:10.1111/j.1440-1584.2012.01310.x

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…The results of this study showed a mean HbA1c of 8.6% (SD = + 2.04) which was higher compared to the result of the study conducted by Brian et al among 1,131 T2DM patients in Fiji as part of the HbA1c data collected during the Fiji Eye Health Survey 2009 (mean HbA1c = 6.5%, SD = + 1.3) [28]. The proportion of poor glycaemic control (HbA1c > 7%) in this study was 77.2% which is similar to the results of the previous studies done in Fiji in 2014 by Kumar et al [29] and those conducted in low and middle income countries [29][30][31][32]. Despite stringent glycemic control to prevent complications, generally over 60% of T2DM patients do not achieve the recommended glycemic targets (HbA1c < 7%) [33].…”

Section: Discussionsupporting

confidence: 86%

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

Romakin

Wilson

Khan

et al. 2021

Preprint

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Background: Glycemic control is the centre in diabetes management. In patients with type 2 diabetes mellitus (T2DM), glycemic control is associated with clinical determinants. The aim of this study was to determine the proportion of poor glycemic control level and its clinical determinants among T2DM patients.Methods: This retrospective cross-sectional study was conducted on the medical records of T2DM patients attending diabetes clinics at the three selected health centres in Suva, Fiji. Patients who met the following criteria were included in the study: adult T2DM >18 years old registered during 2011 to 2016; on treatment for >1year; had >4 clinic visits and; had a recent HbA1c result in 2017. Logistic regression analysis was performed. A p value of <0.05 was considered as significant.Results: There were 200 female (59.2%) and 138 male (40.8%) T2DM patients included in this study with a mean age of 56.5 years (SD = + 9.9). Majority have poorly controlled random blood sugar (RBS), 67.1% and fasting blood sugar (FBS), 63.0%. Two-thirds (65.4%) had co-morbidities. The proportion of poor glycaemic control (HbA1c <7%) was 77.2% with mean HbA1c of 8.6% (+ 2.04). RBS, FBS, cholesterol, estimated glomerular filtration rate (eGFR) and diastolic blood pressure (DBP) were significant (p<0.05) determinants of poor glycaemic control.Conclusions: This study identified clinical determinants of T2DM patients that are highly associated with glycemic control. Health care workers managing T2DM patients should address these clinical determinants in order to achieve glycemic control.

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Section: Discussionsupporting

confidence: 86%

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

Romakin

Wilson

Khan

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The results of this study showed a mean HbA1c of 8.6% (SD = ± 2.04) which was higher compared to the result of the study conducted by Brian et al among 1,131 T2DM patients in Fiji as part of the HbA1c data collected during the Fiji Eye Health Survey 2009 (mean HbA1c = 6.5%, SD = ± 1.3) [28]. The proportion of poor glycaemic control (HbA1c ≥ 7%) in this study was 77.2% which is similar to the results of the previous studies done in Fiji in 2014 by Kumar et al [29] and those conducted in low and middle income countries [29][30][31][32]. Despite stringent glycaemic control to prevent complications, generally over 60% of T2DM patients do not achieve the recommended glycaemic targets (HbA1c < 7%) [33].…”

Section: Discussionsupporting

confidence: 86%

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

Romakin¹,

Wilson²,

Khan³

et al. 2020

Preprint

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Background Diabetes is a global health problem reaching pandemic proportions. In Fiji, diabetes has a prevalence rate of 15.6% in 2011which is estimated to rise to 19.3% in 2020. The aim of this study was to determine the proportion of poor glycaemic control level and its determinants among type 2 diabetes mellitus (T2DM) patients. Methods This retrospective study was conducted in three selected health centres in Suva, Fiji with the following inclusion criteria: adult T2DM ≥ 18 years old registered during 2011 to 2016; on treatment for > 1year; had > 4 clinic visits and; had a recent HbA1c result in 2017. Logistic regression analysis was performed and p < 0.05 considered as significant. Results There were 200 female (59.2%) and 138 male (40.8%) T2DM patients in this study with a mean age of 56.5 years (SD = ± 9.9). Most of T2DM patients have poorly controlled random blood sugar (RBS), 67.1% and fasting blood sugar (FBS), 63.0%. Two-thirds (65.4%) had associated medical conditions. The proportion of poor glycaemic control (HbA1c < 7%) was 77.2%. Mean HbA1c was 8.6% (± 2.04). RBS, FBS, cholesterol, estimated glomerular filtration rate (eGFR) and diastolic blood pressure (DBP) were significant (p < 0.05) determinants of poor glycaemic control. Conclusions Health care workers dealing with T2DM patients should consider the clinical determinants of poor glycaemic control for a more effective diabetes management.

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“…Appointment adherence is a health behavior that remains a challenge for health care systems because of its detrimental effects on patient treatment and outcomes. [3][4][5] However, appointment adherence has received little attention as a behavioral issue, compared with, for example, treatment adherence, or immunization uptake. 42 This study examined whether an intervention implementing fees for unscheduled visits would result in improving appointment adherence.…”

Section: Discussionmentioning

confidence: 99%

“…For patients, missed appointments result in poor treatment adherence, disruption of multidisciplinary health care, and difficulty in patient-provider relationship. 3 They are also associated with increased risk of rehospitalization, 4,5 poor control of chronic conditions, 3,5 and can affect the health of other patients who lose the opportunity to receive timely care. 6 For health care providers, missed appointments reduce the chance of junior physicians to learn from different cases, 7 and could lead to staff underutilization, lower productivity, and increased costs.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Negative Reinforcement on Increasing Patient Adherence to Appointments at King Abdullah University Hospital in Jordan

Alyahya

Hijazi

Nusairat

2016

INQUIRY

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Appointment nonadherence is a health behavior that represents a burden to health care systems. On March 1, 2015, a new negative reinforcement intervention involving “service fees” for a visit without appointment was implemented at King Abdullah University Hospital in Jordan. To evaluate the effect of this intervention in improving patient adherence to medical appointment, a retrospective preintervention and postintervention analysis was used, including all patients (n = 65 535) who had scheduled appointments at 39 outpatient clinics. A repeated-measures analysis of variance was first performed. Then, a multivariate linear regression model was used to identify factors that might predict individuals who are likely to attend or miss their appointments and those who have a greater tendency to visit the hospital with or without appointments. Although the average percentage of appointments attended was more than missed preintervention and postintervention, the decrease in percentage of missed appointments was more pronounced postintervention. Also, the average percentage of visits without appointments was less than visits with appointments in both times, but the decrease in the percentage of visits without appointments was more prominent after. The regression analysis revealed that younger, married and male patients were more likely to miss their appointment before and after the intervention. Also, younger patients had a tendency to attend without appointments. Conversely, patients with the lower copayment rate had a tendency to adhere to appointment times. In conclusion, negative reinforcement interventions could improve patient appointment adherence rates. Accordingly, interventions designed that consider evidence and are theory-based are needed to change patient behavior.

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Medical appointment no‐shows associated with poor glycaemic control among Taiwanese aborigines

Abstract: Taiwanese aboriginal diabetes patients as a group have poorer glycaemic control than the non-aboriginal group. Medical appointment no-shows may significantly contribute to the development of hyperglycaemia among Taiwanese aborigines.

Cited by 6 publications

References 35 publications

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

The Effects of Negative Reinforcement on Increasing Patient Adherence to Appointments at King Abdullah University Hospital in Jordan

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