Disability days associated with detection and treatment in a hypertension control program

Area of Science:

• Cardiovascular Medicine
• Public Health
• Health Services Research

Background:

• Hypertension diagnosis is linked to increased work absenteeism.
• Understanding the impact of hypertension management on disability days is crucial for public health.
• Previous studies suggest a complex relationship between hypertension, its treatment, and employee productivity.

Purpose of the Study:

• To compare disability days before and after hypertension screening in a clinical trial.
• To investigate the effects of different care management strategies (stepped care vs. referred care) on absenteeism.
• To determine if labeling, treatment, or a combination thereof influences work absence in hypertensive individuals.

Main Methods:

• Analysis of disability days over one year in 10,049 participants of an antihypertensive therapy trial.
• Comparison of outcomes between 'stepped care' (specialized clinics) and 'referred care' (usual medical sources) groups.
• Stratification of participants based on hypertension awareness and treatment status at baseline.

Main Results:

• Newly diagnosed hypertensives in referred care showed increased disability days; no change was observed in stepped care.
• Individuals aware but untreated at baseline had no change in disability days regardless of care type.
• Previously treated hypertensives in stepped care showed reduced disability days, while those in referred care showed no change.
• Neither labeling nor treatment alone correlated with increased absenteeism; detection and treatment in referred care were linked to increased absence, while stepped care management reduced it.

Conclusions:

• The impact of hypertension management on work absenteeism depends on the care delivery model and patient's diagnosis status.
• Specialized, intensive management (stepped care) may mitigate absenteeism increases associated with newly diagnosed hypertension.
• Further research is needed to confirm findings, considering potential selection bias in post-randomization comparisons.