Is langdurig ziekteverzuim voorspelbaar en meetbaar?

Goorts, Kaat; Duchesnes, Christiane; Vandenbroeck, Sofie; Rusu, Dorina; Bois, Marc Du; Mairiaux, Philippe; Godderis, Lode

doi:10.1007/s12498-017-0023-6

Cited by 4 publications

(2 citation statements)

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“…Therefore, based on predictors identified to date and on existing validated questionnaires, in an earlier research project, we developed and validated (factorial validity, concurrence validity) a new questionnaire, called the “Quickscan” (see supplementary files), for early screening for long-term sickness absence risk in Belgium [8]. The Quickscan is a generic questionnaire for use in the entire population of sick- listed individuals after 6 weeks of sick leave [9].…”

Section: Introductionmentioning

confidence: 99%

Assessment of long-term sickness absence: content and face validity of a new questionnaire based on qualitative data from nominal groups

Goorts

Vanovenberghe

Lambreghts

et al. 2019

BMC Med Res Methodol

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BackgroundIncreasing rates of long-term sickness absence are a worldwide problem. Belgium is the first country in Europe that aims to screen its entire population of sick leavers (sick leave > 6 weeks) for the risk of long-term sickness absence in order to focus resources on the high-risk group and to provide adequate return-to-work support. Our aim was to investigate content and face validity of a newly designed questionnaire (Quickscan) using item prioritization of patients and professionals in the field of long-term sickness absence. This questionnaire was developed based on a review of the literature and existing instruments (Goorts et al, J Public Health Res 7:1419, 2018).MethodsQualitative data were collected using the nominal group technique. The data were gathered exploring factors that influence return-to work restrictions or opportunities.ResultsParticipants indicated 20 out of 21 of the questionnaire factors as important reasons that might influence the return-to-work process. Additionally, 16 factors were discussed that were not yet included in the Quickscan but that might provide useful information on return-to-work issues, according to the participants. In the prioritization of items, we found considerable diversity among participants.ConclusionsOur findings demonstrate the validity of the Quickscan items to ask patients about important return-to-work barriers or opportunities. However, additional factors were identified that may improve the assessment of risk for long-term sickness absence.

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Section: Introductionmentioning

confidence: 99%

Assessment of long-term sickness absence: content and face validity of a new questionnaire based on qualitative data from nominal groups

Goorts

Vanovenberghe

Lambreghts

et al. 2019

BMC Med Res Methodol

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“…The new screening instrument was constructed based on an extensive review of existing literature and existing questionnaires on (long-term) sickness absence. In a previous study [12], both predictors of long-term sickness absence in general and predictors of long-term sickness absence under certain conditions (e.g. patients with cancer, …) or countries (e.g.…”

Section: Methodsmentioning

confidence: 99%

Quickscan assesses risk factors of long-term sickness absence: A cross-sectional (factorial) construct validation study

et al. 2019

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ObjectivesThe number of sick-listed employees has increased dramatically worldwide. Therefore, many countries aim to stimulate early and sustainable return to work opportunities to obtain better health outcomes and lower costs for disability pensions. To effectively orientate resources to patients with a high risk of not resuming work spontaneously, it is necessary to screen patients early in their sickness absence process. In this study, we validate “Quickscan”, a new instrument to assess return-to-work needs and to predict risks of long-term sick leave.MethodsAs part of the Quickscan validation process, we tested and compared the reliability and construct validity of the questionnaire in two different populations. First, we conducted a cross-sectional study in which the screening instrument was sent to sick-listed individuals in healthcare insurance. In a second cross-sectional study, sick-listed workers who consulted the occupational health physician for return-to-work assessment were asked to fill out the questionnaire. We compared both samples for descriptive statistics: frequencies, means and standard deviations. Reliability of the scales was calculated using Cronbach’s alpha. Confirmatory factor analysis was performed to evaluate the construct (factorial) validity of the studied scales using software package AMOS 24.ResultsThe screening tool was shown to be an instrument with reliable scales (except for the perfectionism and health perception patient scale) in both populations. The construct validity was satisfactory: we found that the hypothesized measurement models with the theoretical factors fitted the data well in both populations. In the first sample, the model improved for scales concerning stressful life events and showed worse fit for person-related factors. Work-related factors and functioning factors both showed similar fit indices across samples. We found small differences in descriptive statistics, which we could explain by the differences in characteristics of both populations.ConclusionsWe can conclude that the instrument has considerable potential to function as a screening tool for disability management and follow-up of sick-leave, provided that some adaptations and validation tests are executed.

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