The Association Between Chronic Conditions and Non-Agricultural Work Productivity Loss Among the Middle-Aged Chinese Population

Measuring, Analyzing, and Presenting Work Productivity Loss in Randomized Controlled Trials: A Scoping Review

OBJECTIVES

This study aimed to conduct a scoping review of randomized controlled trials (RCTs) and investigate which work productivity loss outcomes were measured in these RCTs, how each outcome was measured and analyzed, and how the results for each outcome were presented.

METHODS

A systematic search was conducted from January 2010 to April 2020 from 2 databases: PubMed and Cochrane Central Register of Controlled Trials. Data on country, study population, disease focus, sample size, work productivity loss outcomes measured (absenteeism, presenteeism, employment status changes), and methods used to measure, report, and analyze each work productivity loss outcome were extracted and analyzed.

RESULTS

We found 435 studies measuring absenteeism or presenteeism, of which 155 studies (35.6%) measured both absenteeism and presenteeism and were included in our final review. Only 9 studies also measured employment status changes. The most used questionnaire was the Work Productivity and Activity Impairment Questionnaire. The analysis of absenteeism and presenteeism data was mostly done using regression models (n = 98, n = 98, respectively) for which a normal distribution was assumed (n = 77, n = 89, respectively). Absenteeism results were most often presented in time whereas presenteeism was commonly presented using a percent scale or score.

CONCLUSIONS

There is a lack of consensus on how to measure, analyze, and present work productivity loss outcomes in RCTs published in the past 10 years. The diversity of measurement, analysis, and presentation methods used in RCTs may make comparability challenging. There is a need for guidelines providing recommendations to standardize the comprehensiveness and the appropriateness of methods used to measure, analyze, and report work productivity loss in RCTs.

Inequity in the healthcare utilization among latent classes of elderly people with chronic diseases and decomposition analysis in China

BACKGROUND

Studies have shown chronic disease-based healthcare utilization inequity is common. Hence, exploring this issue can help in establishing targeted measures and protecting the rights and interests of vulnerable groups. Against this background, the purpose of this study is to explore the latent classification of elderly patients with chronic disease and compare healthcare utilization inequity among latent classes.

METHODS

This study used the data of 7243 elderly patient with chronic diseases collected from the China Health and Retirement Longitudinal Study in 2018. Latent class analysis was used to classify the patients with chronic diseases, and analysis of variance and [Formula: see text] tests were utilized to test the differences in characteristics among latent classes. Healthcare utilization inequity was measured based on the concentration index (CI), and the CI was decomposed to compare the horizontal index of healthcare utilization among the latent classes.

RESULTS

The patients with chronic diseases were divided into five latent classes, namely, the musculoskeletal system, hypertension, respiratory system, digestive system and cardiovascular system groups. Statistically significant differences in social demographic characteristics were observed among the five latent classes (P < 0.05). A pro-rich healthcare utilization inequity for all respondents was observed (outpatient CI = 0.080, inpatient CI = 0.135), and a similar phenomenon in latent classes was found except for the musculoskeletal system group in outpatient visits (CI = -0.037). The digestive system group had the worst equity (outpatient CI = 0.197, inpatient CI = 0.157) and the respiratory system group had the best (outpatient CI = 0.001, inpatient CI = 0.086). After balancing the influence of health need factors, healthcare utilization inequity was almost alleviated. Furthermore, for all respondents, the contribution of health need factors (65.227% for outpatient and 81.593% for inpatient) was larger than that of socioeconomic factors (-21.774% for outpatient and 23.707 for inpatient), and self-rated health status was the greatest contributor (57.167% for outpatient and 79.399% for inpatient). The characteristics were shown in latent classes.

CONCLUSIONS

Healthcare utilization inequity still exists in elderly patients with chronic diseases, and the specific performances of inequity vary among latent classes. Moreover, self-rated health status plays an important role in healthcare utilization inequity. Providing financial support to low-income patients with certain chronic diseases, focusing on their physical and mental feelings and guiding them to evaluate their health status correctly could be essential for alleviating healthcare utilization inequity among elderly patients with chronic diseases.

Working From Home During the COVID-19 Pandemic: The Association With Work Productivity Loss Among Patients and Caregivers

OBJECTIVE

The aim of this study was to measure the association of working from home (WFH) with work productivity loss due to caregiving responsibilities or health problems during the COVID-19 pandemic.

METHODS

We conducted an online survey of family/friend caregivers (n = 150 WFH/75 non-WFH) and patients (n = 95/91) who worked during the past 7 days in May and July 2020, respectively. Absenteeism and presenteeism were measured using the Valuation of Lost Productivity questionnaire.

RESULTS

Working from home was associated with higher odds of absenteeism (odds ratio, 2.53; 95% confidence interval, 1.11 to 5.77) and presenteeism (2.79; 1.26 to 6.18) among caregivers and higher odds of presenteeism among patients (2.78; 1.13 to 6.84). However, among caregivers with absenteeism more than 0 days, WFH was significantly associated with fewer absent workdays.

CONCLUSIONS

Working from home was not associated with overall absenteeism and presenteeism in caregivers or patients. Working from home allows a more flexible and inclusive workplace without impacting productivity, although further research is needed.

Heterogeneity of symptoms and functions among women receiving chemotherapy for breast cancer in China: A multicentre, cross-sectional study

Background

Currently, few studies have explored the heterogeneity of symptoms and functions in patients with breast cancer. This study aimed to identify the subgroups of symptoms and functions in women receiving chemotherapy for breast cancer and determine whether the subgroups differed in demographic and clinical characteristics.

Methods

A cross-sectional multicenter survey involving five hospitals in Zhejiang, Shanghai, Shandong, and Guangxi provinces of Mainland China was implemented between August 2020 to December 2021. Participants completed questionnaires that included the PROMIS-57, PROMIS cognitive function short form, and demographic and clinical characteristics. Latent class analysis was performed, followed by chi-square test and analysis of variance. Subsequently, significant variables were included in multinomial logistic regression.

Results

A total of 1,180 patients were investigated, with an average age of 48.9 years. Three classes were identified: low symptom burdens and functions group (26.2%, Class 1), moderate symptom burdens and functions group (16.9%, Class 2), and low symptom burdens and high functions group (56.9%, Class 3). Compared with patients in Class 1 and 3, those in Class 2 consistently showed a higher tendency of having urban employee health insurance (odds ratio = 2.506, P &lt; 0.05) and rural health insurance (odds ratio = 2.207, P &lt; 0.05). Additionally, patients in Class 2 tended to be in their fourth cycle of chemotherapy. However, receiving chemotherapy and surgery increased the likelihood of belonging to Class 1.

Conclusions

A high proportion of patients experienced varying degrees of symptom and function issues, suggesting that attention is warranted for women with breast cancer undergoing chemotherapy. Patients with the urban employee basic medical system, the new rural cooperative medical system and in the early stage of chemotherapy cycles were more likely to have symptom burdens. Middle-aged postmenopausal women reported varying degrees of cognitive issues. Additionally, surgery increased the presence of potential long-term effects in functional levels.

Valuation of Lost Productivity in Caregivers: A Validation Study

Objective

This study aimed to: (a) adapt the previously validated Valuation of Lost Productivity (VOLP) questionnaire for people with health problems, to a caregiver version to measure productivity losses associated with caregiving responsibilities, and (b) evaluate measurement feasibility and validity of an online version of the caregiver VOLP questionnaire.

Methods

A mixed methods design was utilized. Qualitative methods, such as reviewing existing questionnaires that measured caregiver work productivity losses and performing one-on-one interviews with caregivers, were used for VOLP adaptation and online conversion. Quantitative methods were used to evaluate feasibility and validity of the online VOLP. The Work Productivity and Activity Impairment (WPAI) questionnaire for caregivers was included to compare its absenteeism and presenteeism outcomes and their correlations with VOLP outcomes.

Results

When adapting the VOLP for caregivers, our qualitative analysis showed the importance of adding three major components: caregiving time, work productivity loss related to volunteer activities and caregivers’ lost job opportunities. A total of 383 caregivers who completed online survey were included in our final quantitative analysis. We found small Spearman rank correlations between VOLP and WPAI, observing a larger correlation between their absenteeism [r = 0.49 (95% confidence interval: 0.37–0.60)] than their presenteeism [r = 0.36 (0.24–0.47)]. Correlations between VOLP outcomes and total caregiving hours were larger for absenteeism [r = 0.38 (0.27–0.47)] than presenteeism [r = 0.22 (0.10–0.34)]. Correlations between WPAI outcomes and total caregiving hours were smaller for absenteeism [r = 0.27 (0.15–0.38)] than presenteeism [r = 0.35 (0.23–0.46)].

Conclusion

The study provides evidence of the feasibility and preliminary validity evidence of the adapted VOLP caregiver questionnaire in measuring productivity losses due to caregiving responsibilities, when compared with the results for WPAI and the results from the previous patient-VOLP validation study.

Urban-rural differences in the impacts of multiple chronic disease on functional limitations and work productivity among Chinese adults

BACKGROUND

Chronic disease multimorbidity has become a major challenge for health systems. While a lot of research has evaluated the direct economic burden of multimorbidity on health care utilization and cost, little attention has been given to the impacts on work productivity and functional limitations, as indirect indicators of disease burden.

OBJECTIVES

This study aims to examine the prevalence of multimorbidity among Chinese adults and its impact on functional disability and work productivity. It also investigates urban-rural differences in these relationships.

METHOD

This study utilized the data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015, including 11,176 participants aged 45 years and older. Multivariable logistic regression models were used to estimate the effect of multimorbidity on functional disability (i.e. ADL: activities of daily life; IADL: instrumental activities of daily life), and work productivity loss due to health problems. Negative binomial regression models were used to assess the association of multimorbidity with sickness absences from agricultural work and employed non-agricultural work.

RESULTS

68.8% of total participants in CHARLS had multimorbidity in China in 2015. Rural residents with multimorbidity reported higher proportions of physical functions and days of sick leave than urban residents. Multimorbidity was positively associated with ADL limitation (odds ratio 1.924, 95% CI 1.656-2.236), IADL limitation (1.522, 1.326-1.748), limited work due to health problems (1.868, 1.601-2.178) and days of sick leave (for agricultural work, incidence rate ratio 1.676, 95% CI 1.390-2.020; for employed non-agricultural work, 2.418, 1.245-4.696). For the rural group, the impact of multimorbidity on functional limitations and work productivity loss (except for early retirement), was less than the urban group.

CONCLUSIONS

Multimorbidity poses significant challenges for functional health and work productivity These have significant negative economic consequences for individuals, the Chinese health system and the society.

Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample

OBJECTIVES

To analyse the effects of health status on work exit and absenteeism among the older working population in China.

DESIGN

Secondary analysis of a cohort sample.

SETTING AND PARTICIPANTS

Community samples who engaged in either agricultural or non-agriculture work or both in the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS) and whose age was 45-55 years for women or 45-60 years for men in the 2013 wave.

OUTCOME MEASURES

Work exit and number of absent workdays due to health problems in 2013. To address the problems of measurement error of self-rated health status, we used disability condition, number of chronic diseases and functional limitation to construct an index of health. We divided the sample into four groups according to gender and work types (farmers who conducted any agricultural work in 2011 vs non-farmers who conducted non-agricultural work only) and conducted analyses separately.

RESULTS

Farmers (11.0% for women and 4.9% for men) were less likely to exit from work than non-farmers (18.5% and 12.0%, respectively) but took more absent workdays (16.6 days for women and 15.0 days for men) than non-farmers (5.6 and 4.9). Poor health status in 2011 was significantly associated with the work exit in 2013 of female and male farmers but not non-farmers. Older workers (except female non-farmers) with persistently poor health or recent health deterioration over time were significantly more likely to stop working or missed more workdays than those with persistently good health.

CONCLUSIONS

Poor 2-year lagged health predicts work exit for both male and female farmers, and increases the absent work days in all older working population. Persistently poor health or recent health deterioration over time has detrimental impact on labour market in terms of work exit and absenteeism among all older Chinese workers except for female non-farmers.