WB6Dim-LTSA: Can Workplace Well-Being Scores Predict Collective Absenteeism?

NCT07606261 | Not Yet Recruiting

• 1 other identifier: WB6DIM-LTSA-2026-01
• Study Type: observational
• Target: 2,000
• Locations: 1 country
• Sites: 1

Brief Summary

This prospective multicenter cohort study evaluates the predictive value of the Adaptive Load Index (ICA), a composite indicator derived from the WB6Dim well-being instrument, on long-duration sick leave (≥ 30 days) in French companies at a 6-month horizon. In France, 7% of sick leave episodes (those exceeding 6 months) account for 45% of total sickness benefit expenditure (Cour des Comptes 2024). Group disability insurance charges rose +24.4% in 2024 (France Assureurs 2025). Critically, a substantial proportion of long-duration sick leave occurs without prior escalation in administrative absence data - the 'cliff effect' - where presenteeism masks progressive deterioration (Gustafsson \& Marklund 2011). Prediction models based solely on absence history plateau at AUC 0.65 for cumulative days (Roelen 2013), while composite psychometric instruments reach C-index 0.73-0.74 (Airaksinen et al. 2018, SJWEH). The WB6Dim is a validated 28-item psychometric tool measuring 9 dimensions of workplace well-being (NCT07301879, NCT07433764; test-retest ICA .904). The ICA classifies respondents into 4 adaptive load levels. Aggregated at the company level, the ICA distribution may detect deterioration during the presenteeism window, before costly sick leave materializes. The study collects 4 WB6Dim assessments over 6 months alongside company-level absence data stratified by duration (2024-2026) and individual self-reported absence data (duration and episode count). Six pre-registered hypotheses test whether ICA predicts long-duration leave, including an exploratory hypothesis targeting companies with no prior absence signal but degraded well-being scores.

Conditions

Absenteeism; Sick Leave; Workplace Well-Being; Occupational Stress

Keywords

WB6Dim; Adaptive Load Index; absenteeism prediction; cliff effect; ICA

Outcome Measures

Primary Outcomes (1)

• Company-level incidence rate of sick leave episodes ≥ 30 days over 6 months, as measured from aggregated HR records

  Company-level incidence of sick leave episodes lasting 30 days or more, measured from aggregated HR data provided by each participating company for the period June-November 2026. This threshold marks the transition from short-term to long-term sickness absence in the French social security system and is associated with sharply reduced return-to-work probability.

  6 months post-enrollment

Secondary Outcomes (6)

• Company-level incidence rate of sick leave episodes ≥ 90 days over 6 months, as measured from aggregated HR records

  6 months post-enrollment

• Number of employees with ≥ 3 distinct absence episodes within 6 months per company, as measured from aggregated HR records

  6 months post-enrollment

• Self-reported cumulative absence duration and episode count, as measured by WB6Dim questionnaire items

  Baseline, 3 months, and 6 months post-enrollment

• Change in collective ICA distribution from baseline to 3 months as a predictor of sick leave ≥ 30 days between 3 and 6 months

  Baseline and 3 months (predictor); 3 to 6 months post-enrollment (outcome)

• Change in predictive model AUC when adding DAE profile distribution to the ICA-based model for sick leave ≥ 30 days

  6 months post-enrollment

Study Arms (1)

Multi-company workforce cohort

Single-cohort design. All participants receive the same observational protocol: 4 WB6Dim assessments over 6 months. The predictive analysis is conducted at the company level, comparing companies above versus below the sample median of collective critical ICA proportion at T0. No group assignment is made at the individual level. Stratification is performed post-hoc based on observed ICA distributions.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Employees of French companies with 50 or more employees, recruited through employer participation agreements. Companies are sourced through occupational health networks and direct outreach. All employees meeting inclusion criteria within participating companies are eligible regardless of job type, contract status, or health condition.

You may qualify if:

• Employee of a participating French company (≥ 50 employees)
• Age 18 years or older
• Access to a smartphone or computer to complete the digital questionnaire
• Electronic informed consent provided at baseline

You may not qualify if:

• Refusal to participate or withdrawal of consent
• Inability to complete the questionnaire in French

Sponsors & Collaborators

• Clover Link: lead

Study Sites (1)

Clover Link

Bandol, 83150, France

Location

Related Links

• WB6Dim validation protocol - Cohorts A+B
• WB6Dim validation protocol - Cohorts C+D

MeSH Terms

Conditions

Occupational Stress

Condition Hierarchy (Ancestors)

Occupational Diseases; Stress, Psychological; Behavioral Symptoms; Behavior

Study Officials

• Frédérique RETORNAZ, MD, PhD

  European Hospital, Unit of Care and Research in Internal Medicine and Infectious Diseases.

  STUDY CHAIR

Central Study Contacts

Quentin ALITTA, MBA

CONTACT

686505361; quentin.alitta@gmail.com

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 17, 2026
• First Posted: May 26, 2026
• Study Start: June 1, 2026
• Primary Completion (Estimated): November 15, 2026
• Study Completion (Estimated): November 30, 2026
• Last Updated: May 26, 2026

Record last verified: 2026-05

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)