| Literature DB >> 30698334 |
Koji Mori1, Takahiro Mori1, Tomohisa Nagata1, Masako Nagata1, Mahoko Iwasaki1, Hiroki Sakai1, Koki Kimura1, Natsumi Shinzato1.
Abstract
OBJECTIVE: A systematic review was performed to study factors of occurrence and improvement methods of presenteeism attributed to diabetes.Entities:
Keywords: comorbidity; complication; diabetes mellitus; presenteeism; work productivity
Mesh:
Year: 2019 PMID: 30698334 PMCID: PMC6499359 DOI: 10.1002/1348-9585.12034
Source DB: PubMed Journal: J Occup Health ISSN: 1341-9145 Impact factor: 2.708
Figure 1Flowchart of methodology for identifying papers included in the systematic review
Summary of papers on presenteeism in patients with comorbidities or complications of diabetes
| Comorbidities or complications | Authors | Year published year | Country of study | DM type | Data source/sample recruitment | Sample size | Measure of presenteeism | Key conclusions on presenteeism | Research design | Quality of evidence |
|---|---|---|---|---|---|---|---|---|---|---|
| Tolerability issues | ||||||||||
| Tolerability issues with oral antidiabetic agents (eg, constipation or diarrhea, headache, loss of appetite, nausea or vomiting, upper respiratory tract infection, genitourinary tract infections, water retention or edema, unintended weight loss/gain, yeast infections, hypoglycemia, and cardiovascular events) | DiBonaventura et al | 2011 | USA | Type 2 | Invited T2DM patients identified from 3 other surveys via e‐mail | 2074 eligible patients among 4316 respondents from 10374 contacted | Work productivity and activity impairment questionnaire (WPAI) | As the number of tolerability issues increased, presenteeism worsened by 8.65%, 14.99%, 20.08%, and 21.96% for those with 1, 2, 3, and 4 or more issues, respectively, after adjusting for demographics, comorbidities, and disease characteristics When monetizing, total annual adjusted presenteeism costs were $1585, $3662, $5940, and $6190 or greater for patients, respectively | Cross‐sectional study | 4/6 |
| Hypoglycemia | ||||||||||
| Self‐reported non‐severe hypoglycemia event (NSHE): a hypoglycemic situation in which the patient had low blood glucose but did not require help from anyone else to manage the episode | Brod et al | 2011 | USA, UK, Germany, France | Types 1 and 2 | Recruited subjects online via a wide range of permission, e‐mail recruitment, affiliate networks, and website advertising | A total of 6756 respondents with self‐reported diabetes were screened. Of these, 2669 reported an NSHE during the last month, 1431 reported working for pay; 1404 respondents were finally analyzed after excluding those who did not remember | Evaluated impact on work productivity by reports of missing a meeting or work appointment or not finishing a work task on time | Lost productivity was estimated to range from $15.26 to $93.47 per NSHE, representing 8.3‐15.9 h of lost work time per mo. Among individuals reporting an NSHE at work (n = 972), 23.8% (n = 231) reported missing a meeting or work appointment or not finishing a work task on time. Among respondents experiencing an NSHE outside working hours (including nocturnal; n = 612), 31.8% (n = 197) reported that they missed a meeting or work appointment or did not finish a work task on time due to the nocturnal NSHE | Cross‐sectional study | 1/6 |
| Self‐reported NSNHE: a night‐time hypoglycemic episode that occurred while sleeping and did not require medical attention or did not require help from anyone else to manage the hypoglycemia | Brod et al | 2012 | USA, UK, Germany, France | Types 1 and 2 | Recruited respondents from a variety of online venues, including website advertising, affiliate networks and email recruitment, and via face‐to‐face or telephone interview | A total of 6756 respondents with diabetes were screened. Of these 2600 (1280 type 1 and 1320 type 2) had experienced one or more NSHE at any time in the past month. Of these respondents, 1086 (676 type 1 and 410 type 2) indicated that they had experience one of more NSNHE while asleep at night | Evaluated the impact by a question on missing a meeting/work appointment or failing to finish a task | Compared with respondents with type 1 diabetes, those with type 2 appeared to experience more presenteeism associated with an NSNHE (8.7% vs 14.4%). US respondents were least likely to report presenteeism, and respondents from French had the highest rate of presenteeism | Cross‐sectional study | 1/6 |
| Self‐reported non‐severe nocturnal hypoglycemia event (NSNHE): a night‐time hypoglycemic episode that occurred while sleeping and did not require medical attention or did not require help from anyone else to manage the episode | Brod et al | 2013 | USA, Canada, UK, Germany, France, Italy, Spain, The Netherlands, Sweden | Types 1 and 2 | Recruited subjects from more than 100 websites as well as from face‐to‐face and telephone surveys. | A total of 20 212 respondents with self‐reported diabetes were screened. Of these 2673 respondents who reported an NSNHE during the last month, 2108 patients completed the survey; 1100 reported working for pay | Endicott Workplace Productivity Scale (EWPS) and Likert scale assessment with the question “How much has this NSNHE impacted productivity at work?” | For those who worked the next day, the impact of the previous night event was apparent, with 42.6% reporting that they had trouble focusing or concentrating at work the next day, 20.1% reporting they could not complete work tasks on time, and 15.6% reporting they needed to reschedule their work time. Additionally, 25% of the respondents reported that the NSNHE had a high impact on work productivity the following day, 32.1% reported a moderate impact, 18.9% reported a low impact, and 24.0% reported no impact. Based on EWPS scores, the impact on presenteeism had a mean score of 21.3 (SD = 21.0), which was significantly higher than those for groups defined as normal controls [ranging from mean 3.54 and mean 15.6 (SD = 11.7) to 18.2 (SD = 10.7)] | Cross‐sectional study | 1/6 |
| Self‐reported NSNHE: a nighttime hypoglycemic episode that occurred while sleeping and did not require medical attention or did not require help from anyone else to manage the hypoglycemia | Brod et al | 2013 | Canada | Types 1 and 2 | Recruited subjects from more than 100 websites as well as from face‐to‐face and telephone surveys | A total of 2279 respondents with self‐reported diabetes were screened, of which 239 reported an NSNHE during the previous month. Of the 239 respondents, 200 completed the survey and 87 reported working for pay | EWPS and Likert scale assessment with the question “How much has this NSNHE impacted work productivity?” | For those who worked the next day, the impact of the previous night's event was apparent, with 44.8% reporting they had trouble focusing or concentrating the next day at work, 24.1% reporting they could not complete work tasks on time, and 18.4% reporting they needed to reschedule their work day. Additionally, 33.3% reported that NSNHEs had a high impact on work productivity the following day, 33.3% reported a moderate impact, 17.2% reported a low impact, and 16.1% reported no impact. Based on EWPS scores, the impact on presenteeism had a mean score of 24.1 (SD = 21.6), which was significantly higher than those for groups defined as normal controls in two recent studies [ranging from mean 3.54 and 15.6 (SD = 11.7) to 18.2 (SD = 10.7)] | Cross‐sectional study | 1/6 |
| Self‐reported hypoglycemia episode | Mitchell et al | 2013 | UK | Type 2 | Identified potential respondents through the 2011 5EU National Health and Wellness Survey (NHWS) and the diabetes chronic ailment panel of Light Speed Research in the UK. Invitation emails were sent to 7144 panelists who indicated that they had diabetes | Those who gave consent were screened for a physician diagnosis and current use of prescription medications. Respondents who used only oral medicine were excluded. The remaining participants were directed to the baseline questionnaire. Among 1329 respondents who completed the baseline survey, 448 were employed. Five follow‐up assessments separated by 4 weeks were completed by 836, 759, 765, 511, and 451 respondents | WPAI | At the baseline survey, about 35.5% of employed respondents experienced ≥1 hypoglycemia experience (HE) in the month prior to the survey, which was approximately double the work impairment in the prior 7 d experienced by those without ≥1 HE (16.6%). However, there was no significant difference in work impairment between those with ≥1 HE (n = 83) and without HE (n = 72) during the study among those completing all study surveys. Baseline comparisons showed that worse HbA1c and greater healthcare resource use was associated with HE | Cohort study | 3/9 |
| Self‐reported hypoglycemia episode | Lopez et al | 2014 | USA | Type 2 | Used data from the 2012 US NHWS. In the survey, participants were recruited through opt‐in emails, co‐registration with other panels, e‐newsletter campaigns, and online banner placements | Among 71 157 participants, a total of 7239 participants reported a diagnosis of type 2 DM, and 6065 were treated with antihyperglycemic agents. Additionally, 5756 knew their hypoglycemia status; 1688 had experienced hypoglycemia within the previous 3 mo (recent), whereas 1516 had experienced hypoglycemia in the past but not in the previous 3 mo (non‐recent) and 2552 had never experienced hypoglycemia (never) | Presenteeism was defined as the percentage of overall work impaired by hypoglycemia‐related health issues | Those with recent hypoglycemia had significantly higher presenteeism (21.3%) compared with those with non‐recent hypoglycemia (15.1%) or never (14.0%). Compared with those who never experienced hypoglycemia, those who experienced hypoglycemia tended to be more aware of their HbA1c levels, have higher HbA1c levels, and were less adherent to their antihyperglycemic medications | Cross‐sectional study | 2/6 |
| Self‐reported NSHE | Ohashi et al | 2017 | Japan | Types 1 and 2 | Recruited respondents through multiple online channels, such as website advertising, permission emailing, and affiliate networks | A total of 411 respondents among 3145 screened met inclusion criteria that were treatment with insulin aged 20 y old and above and completed the survey | Evaluated the impact by a question on missing a meeting/work appointment or failing to finish a task | As for last daytime NSHE, 25% of respondents were missing a meeting/work appointment or failing to finish a task. As for last night‐time NSHE, only 2% were reported the impact | Cross‐sectional study | 2/6 |
| Self‐reported hypoglycemia event | Meneghini et al | 2017 | USA | Type 2 | Used data from the 2011, 2012, and 2013 US NHWS. Potential respondents were identified through the general panel of Lightspeed Research | A total of 17 676 unique respondents were identified, and of whom 2423 met inclusion criteria. Patients were categorized into “no hypoglycemia in the past 3 mo (n = 938), non‐severe hypoglycemia (n = 1335), and severe hypoglycemia (n = 150) | Work Productivity and Activity Impairment questionnaire (WPAI) | Patients with severe hypoglycemia (adjusted mean 33.7%) had significantly greater presenteeism compared with patients with non‐severe (18.6%) or no hypoglycemia (15.5%), but there was no significant different in presenteeism between non‐severe and no hypoglycemia | Cross‐sectional | 4/6 |
| Self‐reported hypoglycemia event (Severe hypoglycemia was based on the need for external assistance) | Pawaskar et al | 2018 | USA | Type 2 | Used data from the 2013 US NHWS. Patients with Type 2 diabetes were identified by their answers | The analysis included 3630 participatns—1729 of whom reported having non‐severe hypoglycemia and 172 of whom had severe hypoglycemia in the previous 3 mo. Among survey participants, 1130 (31.3%) were employed | Work Productivity and Activity Impairment questionnaire (WPAI) | Presenteeism were significantly associated with severity of hypoglycemia event (no hypoglycemia 17.7%, non‐severe hypoglycemia 18.7%, and severe hypoglycemia 31.2%). Mean annualized costs due to presenteeism also increased with increasing severity of hypoglycemia (no hypoglycemia $5600.70, non‐severe hypoglycemia $6263.30, and severe hypoglycemia $9090.00) | Cross‐sectional | 4/6 |
| Peripheral neuropathy | ||||||||||
| Painful diabetic distal symmetrical sensorimotor polyneuropathy (DPN) (Community‐based practitioners diagnosed) | Gore et al | 2006 | USA | Not Specific | Recruited by 17 community‐based practitioners from settings across the US | Among 265 patients who met all study eligibility criteria, 255 returned completed surveys. In the preceding 3 mo, 73 of patients worked either part‐time or full‐time | Evaluated by the question, days accomplished less at work | Among patients who worked, 64.4% reported work productivity loss due to painful DPN and accomplished less at work an average of 15.2 (SD = 18.5) d in the preceding 3 mo | Cross‐sectional | 2/6 |
| Self‐reported diabetes‐related neuropathy (respondents reported in the affirmative to the question on sensory symptoms) | Stewart et al | 2007 | USA | Not specific | Used data of American Productive Audit, which was a national random‐digit‐dial telephone survey of US population. A total of 42 107 interviews were completed. Of these, 36 634 were eligible based on occupation | The study included 19 075 occupation‐eligible individuals 40‐65 y of age. All analyses compared those without self‐reported diabetes (n = 18 042), individuals with diabetes but without neuropathic symptoms (n = 642), and individuals who reported both diabetes and neuropathic symptoms (n = 391) | Hour‐equivalent per week of health‐related reduced performance on days at work was determined. Presenteeism was quantified by the occurrence of 5 specific work behaviors (losing concentration, repeating a job, working more slowly than usual, feeling fatigued at work, and doing nothing at work) and the average amount of time between arriving at work and starting to work on days not feeling well | Among the respondents with diabetes who remained in the workforce, those with neuropathic symptoms were substantially more likely to report the need to change the number of hours worked (11.5% vs 4.4%) or their jobs (10.7% vs 4.4%) and that there was a moderate‐to‐severe impact on their job performance (11.6% vs 3.9%) compared with those without neuropathic symptoms | Cross‐sectional study | 5/6 |
| Painful diabetic peripheral neuropathy (self‐administered questionnaire) | DiBonaventura et al | 2011 | USA | Type 2 | Obtained data through an annual cross‐sectional study across the US. The sample was identified through a web‐based consumer panel. Participants who completed 3 consecutive waves were included | Participants were categorized into 1 of 3 groups: those with pDPN (n = 290), those with type 2 diabetes but without pDPN (n = 1037), and those not diagnosed with type 2 diabetes (control group; n = 8162). Among them, only employed patients were measured for work productivity loss | WPAI | Across the 3 y, both the control and diabetes without pDPN groups reported significantly lower levels of presenteeism (12.8% and 13.5%, respectively) than the pDPN group (17.8%) | Cohort study | 5/9 |
| Painful diabetic peripheral neuropathy (pDPN) (with a confirmed diagnosis by physicians) | Taylor‐Stokes et al | 2011 | France, Germany, Italy, UK | Not specific | Collected data in clinical practice settings by physicians. Patients were invited to participate by completing questionnaires | In this study, 634 individuals identified as having a confirmed diagnosis of pDPN, 124 of whom were employed individuals and had available WPAI data | WPAI | Employed individuals reported greater impairment while working at increasing pDPN severity levels. Estimated loss productivity and annual related costs among employed individuals were 21.0% and $8266, 33.7% and $15449, and 60.5% and $24300 for mild, moderate, and severe pDPN, respectively. These costs appeared to be primarily driven by presenteeism | Cross‐sectional study | 3/6 |
| Peripheral diabetic neuropathy (diagnosed with pDPN at least 6 mo earlier) | Sadosky et al | 2013 | USA | Not specific | Recruited subjects during routine visits from general practitioner and specialists sites | Among 112 subjects, 20 were employed for pay | WPAI‐Specific Health Problem | Mean overall work impairment among subjects employed for pay was 43.6%, which worsened as pain severity increased. However, this difference was not significant due to the small number of subjects | Cross‐sectional study | 3/6 |
| Mental conditions | ||||||||||
| Mood disorders including depression, bipolar disorder, mania, or dysthymia (self‐reported through interview) | Bielecky et al | 2016 | Canada | Not specific | Used cross‐sectional secondary data from the 2003, 2005, 2007, 2009, and 2010 cycles of the Canadian Community Health Survey in which data were collected through interview | Among 132 072 eligible respondents, 120 005 respondents who met inclusion criteria were used in the analysis | Evaluated by the question, “Does a long‐term physical condition, mental condition, or health problem reduce the amount or kind of activity you can do at work?” “Sometimes” or “often” were classified into presenteeism, and “never” was classified into no presenteeism | About 37.6% of respondents with both diabetes and a mood disorder have presenteeism. The fully adjusted prevalence ratio of the group was 1.78, which was significantly higher than those with either diabetes or diabetes. However, a significant negative interaction was observed between the 2 conditions | Repeated cross‐sectional study | 5/6 |
| Poor and very poor mental well‐being (evaluated using the mental component summary) | Bolge et al | 2016 | USA | Type 2 | Used data from the 2013 US NHWS, an annual, cross‐sectional study of the US adult population Data were collected through a self‐administered internet‐based questionnaire | Among 7852 respondents, 1701 experienced very poor mental well‐being, 1781 poor mental well‐being, and 4370 good mental well‐being | WPAI‐General Health questionnaire | Respondents with very poor mental well‐being had higher presenteeism than those with poor and good mental well‐being. Additionally, respondents with poor mental well‐being had higher presenteeism than those with good mental well‐being | Cross‐sectional study | 4/6 |
| Cognitive impairment | ||||||||||
| Cognitive impairment self‐reported with perceived defects questionnaire | Lee et al | 2017 | Canada | Type 2 | Selected individuals as a part of a motivation study through employers’ third‐party health insurance providers and/or directly by the project team | A total of 3627 individuals were screened, 1738 met eligibility criteria, and 724 consented. Among them, 205 subjects with pre/diabetes were included in the study | EWPS | Self‐rated depressive and cognitive symptoms were positively correlated with work impairment among subjects with or at risk for diabetes. Self‐rated measures of cognitive impairment mediated the association between depressive symptom severity and workplace impairment | Cross‐sectional study | 3/6 |
Quality of evidence was evaluated with the Newcastle Ottawa Scale and is expressed as number of stars gained/maximum number of stars for each study type.
Summary of papers on effective interventions or conditions for improving presenteeism attributed to diabetes
| Conditions or interventions | Authors | Year published | Country of study | DM type and other conditions | Data source/sample recruitment | Sample size | Measure of presenteeism | Key conclusions on work productivity including presenteeism | Research design | Quality of evidence |
|---|---|---|---|---|---|---|---|---|---|---|
| Medical adherence (medical possession ratio) | Loeppke et al | 2011 | USA | Type 2 | Employee medical pharmacy claims data from five large corporations including health risk appraisal (HPA) | A total of 115 991 HPA surveys were completed and 64 422 unique employees were included in the survey. A total of 1312 employees had Type 2 diabetes and required insulin, oral hypoglycemic agent, or metformin | Work Performance Questionnaire (HPQ) | Medication adherence (categorical MPR) is a significant predictor of job performance (absenteeism, presenteeism) for type 2 diabetes with insulin or oral hypoglycemic agent or metformin group. Those with an MPR ≥80% have 2.34 h more work performance over a 28‐d period than those with an MPR <80%. However, no significant relationship with absenteeism was observed | Cohort study (retrospective) | 6/9 |
| Nutrition program | Katcher et al | 2010 | USA | BMI ≥ 25 and/or Type 2 diabetes | Recruited from 2 large corporate sites of an insurance company | Of 170 who met criteria, 68 participated in the intervention group and 45 participated in the control group | Work Productivity and Activity Impairment questionnaire, general heath version (WPAI‐GH) | Participants in the vegan diet group reported a 40% decrease in the amount that health problems affected their work productivity (absenteeism + presenteeism) | Non‐randomized control trial | High |
| Self‐management program | Adepoju et al | 2014 | USA | Type 2 | Recruited potential subjects selected with electronic medical records from a large university‐affiliated healthcare system | A total of 1897 potential subjects were contacted, 922 of whom voiced their interest in the study. Of these, 376 individuals met the study criteria and agreed to participate in the study | Any impairments or health problems that limited the kind or amount of paid work subjects could perform and multiplied the factors obtained from prior literature | Interventions were personal digital assistant (PDA), chronic disease self‐management program (CDSMP), and PDA and CDSMP combined. Presenteeism comprised 44% of total productivity loss, but there were no statistically significant differences among persons undergoing any of the 3 diabetes management interventions compared with subjects in the usual care group | Randomized control trial | High |
| Employer‐supporting combination programs involved screening and measurement of baseline indices, education sessions, telephonic support, quarterly laboratory monitoring, and provision of glucometers | Bevis et al | 2014 | USA | Type 2 (Type 1 diabetes was excluded) | Recruited by multimedia publicity on the employer campus and home mailings. Simultaneously sequestered review by the single payer on the basis of previously diagnosed and/or treated diabetes | Of the employees with diabetes, 175 participants in the full 12 mo of the program. Of these, 151 of the 175 employees attended at least 2 educational session and met all inclusion criteria | Total 6‐item Stanford Presenteeism Scale (SPS‐6) | SPS‐6 scores for employees with diabetes were compared at the beginning and the end of the program. There was a highly significant increase in SPS‐6 scoring (improvement). Improved stress management and perceived improvement in health were the major contributors to improved scoring. From HbA1c values of 8.02% ± 1.90% at 0 mo, there was significant improvement in HbA1c levels at 6 mo (7.13% ± 1.43%), but the HbA1c improvement slipped to a more modest outcome by 12 mo (7.48% ± 1.52%) | Pre‐post intervention comparison | High |
| Needed work accommodation | Gifford et al | 2017 | USA | Not specific Evaluate as a metabolic condition with hypertension and high cholesterol | RANS's Corporation's American Life Panel with several existing surveys and a representative sample of US consumers. The panel includes about 6000 respondents from over 5000 US households | Of 1396 invited participants, 1174 respondents were followed up. Of these respondents, 7.7% of them had diabetes | Measured the extent by which health problems affect participants’ work productivity | The odds that an employee who did not receive a needed accommodation reported a higher level of lost productivity are 5.1 times the odds for an employee who received a needed accommodation. However, there were no interactions between chronic health problems, including metabolic problems and accommodations. This suggests that the association between accommodations and productivity loss are similar on average for employees with and without any of the reported problems | Cross‐sectional study | 4/6 |
Quality of evidence was evaluated with the Newcastle Ottawa Scale and is expressed as number of stars gained/maximum number of stars for each study type.
Quality of evidence was evaluated with the Cochrane Handbook for Systematic Reviews, Version 5.1.0, and is expressed as risk of bias.