Work ability and productivity in patients with diabetic foot

Cabeceira, Helga dos Santos; Souza, Diba Maria Sebba Tosta de; Juliano, Yára; Veiga, Daniela Francescato

doi:10.6061/clinics/2019/e421

Cited by 11 publications

(12 citation statements)

References 24 publications

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“…In the research by Ebrahimipour et al, the mean productivity loss based on actual income and labor law income in the patients were 424.97 and 637.45 dollars, respectively. Moreover, the mean working days lost was 44 days in three months after the accident (14.6 days per month) [19], which is higher than our results [28]. Patients with diabetes showed reduced efficiency and increased time lost from work due to their health conditions, resulting in losses in work productivity [24].…”

Section: Discussionmentioning

confidence: 70%

Productivity Loss of Diabetes in Iran (South Khorasan Province)

et al. 2021

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Background: This study aims to assess the productivity loss in diabetic patients living in South Khorasan Province, Iran, in 2017. Methods: This cost of illness and analytical study was performed on 1003 patients with diabetes referred to hospitals and healthcare centers in South Khorasan Province. After being randomly selected, the participants filled the short form health and labor questionnaire by the human capital method to estimate the productivity loss caused by health problems. Data were collected in person or via phone interviews. The collected data were analyzed by data quantile regression model using Stata v. 11. Results: The Mean±SD productivity loss based on actual and labor law income was 19.61±46.24 and 16.61±49.39 dollars, respectively. In addition, the results showed that the Mean±SD number of lost working days is 0.81±2.39 days. According to the regression model, gender, educational levels, marital status, and employment status affected the number of working days lost at 0.25 quantile (P≤0.05). Conclusion: Improving productivity in diabetic patients and consequently reducing the resulting economic burden is essential to promoting their physical, mental, and social health.

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Section: Discussionmentioning

confidence: 70%

Productivity Loss of Diabetes in Iran (South Khorasan Province)

et al. 2021

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“…Poor treatment control tends to cause typical diabetic symptoms such as dry mouth and polydipsia [ 38 ], and these symptoms may cause presenteeism. In addition, poor treatment control and longer treatment periods increase the risk of developing diabetes-related complications such as heart disease, cerebrovascular disease, neuropathy, nephropathy, retinopathy and diabetic foot ulces [ 26 , 32 , 39 – 42 ].…”

Section: Discussionmentioning

confidence: 99%

“…As a background to the occurrence of presenteeism due to diabetes, the existence of diabetes-related complications and complications has been reported. Previous studies have investigated the direct causes such as hypoglycemia [ 17 – 21 ], diabetic neuropathy [ 22 – 25 ], diabetic foot ulcer [ 26 ], diabetes-associated stress [ 27 , 28 ], complications of mood disorders such as depression [ 29 , 30 ], and the number of tolerability issues with anti-diabetic drugs [ 31 ]. With regard to hypoglycemia, it has been reported that even if the symptoms are mild or if hypoglycemia occurs at night, the effects on work the next day are not small.…”

Section: Introductionmentioning

confidence: 99%

Diabetes severity measured by treatment control status and number of anti-diabetic drugs affects presenteeism among workers with type 2 diabetes

Mori

Nagata

et al. 2021

BMC Public Health

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Background The number of people with diabetes is increasing and resulting in major economic losses. Presenteeism accounts for the majority of economic losses, so measures against presenteeism are important. This study investigated the relationship between severity of type 2 diabetes and presenteeism. Methods A cross-sectional study was conducted among workers over 40 years of age. Participants were classified as normal group or diabetic treatment group using their medical examination results and health insurance claims data. Diabetic treatment groups were described by degree of treatment control: Good (HbA1c < 7%), Intermediate (7% ≤ HbA1c < 8%), and Poor (8% ≤ HbA1c). Therapy type was also divided into monotherapy and combination therapy. Logistic regression analysis was performed to predict presenteeism loss using the Quantity and Quality method. Results Data on 13,271 workers were analyzed. Presenteeism loss was significantly higher in all treatment control groups compared with the normal group, particularly for the intermediate and poor control groups. The monotherapy group did not differ from the normal group, but presenteeism loss was significantly higher in the combination therapy group than the normal group. Conclusions Presenteeism loss in workers with diabetes may be affected by diabetes severity, and even if treatment control were good, presenteeism loss could occur when the number of anti-diabetic drugs was high. Therefore, it is important to provide early intervention and continuous support as a preventive measure against not only diabetes and diabetes-related complications but also presenteeism.

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“…It assesses the effect of health on work productivity in terms of absenteeism (absence from work), presenteeism (being unproductive at work because of sickness), and overall work productivity loss (absenteeism plus presenteeism) over the past 7 days in those who are employed, as well as on daily activity impairment (Reilly et al, 1993). It has been utilized to assess work productivity and activity impairment across different medical conditions (Cabeceira et al, 2019;Gajria et al, 2017;Joseph et al, 2019;Rajagopalan & Lee, 2019;Zhang et al, 2010). All measures are reported as percentages, with higher scores representing greater work productivity loss or activity impairment.…”

Section: Methodsmentioning

confidence: 99%

The Association of Oral Stimulant Medication Adherence with Work Productivity among Adults with ADHD

et al. 2021

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Objective: Examine associations between oral psychostimulant pharmacotherapy adherence, work productivity, and related indirect costs among US adults with ADHD. Methods: Medication adherence (Medication Adherence Reasons Scale [MAR-Scale]), work productivity and activity impairment (Work Productivity and Activity Impairment–General Health questionnaire), and ADHD symptom level (Adult ADHD Self-Report Scale version 1.1 Symptom Checklist) were assessed in this noninterventional online survey of adults who self-reported having an ADHD diagnosis and were currently receiving oral psychostimulant treatment for ≥3 months. Results: Of 602 respondents, 395 had low/medium adherence (LMA: MAR-Scale total score ≥1) and 207 had high adherence (HA: MAR-Scale total score 0). After adjusting for covariates, the LMA group had significantly greater levels of absenteeism, absenteeism-related indirect costs, and total indirect costs (all p < .01) than the HA group. Conclusion: In adults with ADHD using oral psychostimulants, lower medication adherence was associated with greater absenteeism and indirect costs.

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Work ability and productivity in patients with diabetic foot

Cited by 11 publications

References 24 publications

Productivity Loss of Diabetes in Iran (South Khorasan Province)

Productivity Loss of Diabetes in Iran (South Khorasan Province)

Diabetes severity measured by treatment control status and number of anti-diabetic drugs affects presenteeism among workers with type 2 diabetes

The Association of Oral Stimulant Medication Adherence with Work Productivity among Adults with ADHD

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