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Occupational-class trends in diagnosis-specific sickness absence in Finland: a register-based observational study in 2011-2021
Objectives
To examine the prevalence and days of long-term sickness absence (LTSA) by occupational class and by most important diagnostic groups in Finland during 2011–2021.
Design
Population-based cross-sectional study.
Setting and participants
National comprehensive register data were linked for all employed persons and entrepreneurs in Finland aged 25–64 for years 2011–2021 (yearly number of individuals in the study population around 2 million persons).
Main outcome measures
LTSA was measured by sickness allowance that covers over 10-day long absences. Yearly age-standardised LTSA prevalences and average number of LTSA days were calculated for women and men in four occupational classes, separately for all-cause LTSA and LTSA due to mental disorders, musculoskeletal diseases and injuries. Modified Poisson regression and negative binomial regression models were run to assess relative differences between occupational classes, adjusted for age, marital status, education and region of residence.
Results
All-cause LTSA slightly decreased between years 2011 and 2021, but the trends varied by occupational class and diagnostic group. LTSA due to mental disorders increased in all occupational classes after 2016 among both sexes, while LTSA due to musculoskeletal diseases and injuries continued to decrease in all occupational classes. The increase in LTSA due to mental disorders was largest among lower non-manual employees, especially among women, whereby all-cause LTSA prevalence among female lower non-manual employees reached the level of female manual workers. Men showed broadly similar trends, but manual workers still had the highest all-cause LTSA prevalence at the end of the study period. The main results were similar adjusted for covariates.
Conclusions
The magnitude and order of the occupational-class differences in LTSA changed between 2011 and 2021, along with increasing LTSA due to mental disorders, especially among employees, and decreasing LTSA due to somatic diagnoses, especially among manual workers. Occupational-class differences should be taken into account when aiming to prevent LTSA and especially further increases in LTSA due to mental disorders.
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Trends in clinical encounters and management for infertility among women attending Australian general practice: a national longitudinal study using MedicineInsight, 2011 to 2021
Objective
To examine longitudinal trends in infertility management in women attending general practice.
Design
Cohort study using the national general practice dataset, MedicineInsight.
Setting
Australian general practice.
Intervention(s)
Not applicable.
Participants
The cohort included 2 552 339 women aged 18–49 years with one or more general practice clinical encounters between January 2011 and December 2021.
Primary and secondary outcome measures(s)
The primary outcome assessed was the proportion of women who had a clinical encounter related to infertility, stratified by year and age group. Second, the proportions of women receiving relevant clinical management actions, including selected pathology tests, imaging ordered and selected medications, were calculated. Univariable logistic regression analyses compared the likelihood of women having a documented clinical encounter related to infertility and receiving selected management actions based on individual characteristics. We also examined practice-level variation in the proportion receiving selected management for infertility by stratifying proportions based on practice site.
Results
A total of 2 552 339 women had one or more clinical encounters with their general practitioner (GP) between January 2011 and December 2021, of which 27 671 (1.1%) had a clinical encounter related to infertility management. The rate of infertility encounters increased from 3.4 per 1000 in 2011 to 5.7 per 1000 in 2021. Over episodes of care, half (50.9%) of women presenting for an infertility encounter had at least one specified pathology test, and almost a quarter (23.1%) had a specified imaging test. A relatively small proportion of infertility encounters (5.4%) resulted in prescribing of a selected infertility medication by the GP.
Large variation in clinical management (pathology, imaging and medication prescribing) was evident according to both individual characteristics and also at the clinical-practice level. Factors associated with increased likelihood of being provided infertility medications included younger age, holding a Commonwealth concession card (indicating low income), lower socioeconomic status and living outside a major city.
Conclusions
Clinical encounters related to infertility are increasing in primary care, with large variation evident in corresponding clinical management. These findings support the development of clinical practice guidelines to enhance standardised and equitable approaches towards the management of infertility in primary care.