Sentence examples for long lasting sick from inspiring English sources

This criterion excluded individuals who already were on long lasting sick leave or rehabilitation, disabled individuals, full-time students, and other individuals with low labor-force participation.

The knowledge of factors accurately predicting the long lasting sick leaves is sparse, but information on medical condition is believed to be necessary to identify persons at risk.

By analysing data from the clinical specialist examination (step three) hopefully we will find methods for early identifying patients with or at risk of developing ED, and thereby likely prevent long lasting sick leave.

Long lasting headache attacks.

Thus the sampling procedure ensures a sufficient number of long-lasting sick leave cases where case management activities and employer-established workplace accommodations are present in the data.

In addition, elements of the program were derived from two current Dutch vocational rehabilitation programs aimed at job retention for employees on long-lasting sick leave.

The MISS is a prototypical intervention for SMDs with sick leave in general practices, aiming specifically at successful rehabilitation and preventing long-lasting sick leave.

In the search for tests predicting long-lasting sick leaves, such as The Örebro Musculoskeletal Pain Questionnaire [ 28], the present study indicates that the results of any such tests should be compared with the results of crude self-estimated length.

For the outcome of sick leave, patients in the LBP + NRI subgroup had a larger risk of long-lasting sick leave at 3 months compared with patients in the Local LBP and LBP + pain above knee subgroups.

Based on the current practice, with identifying sick-listed individuals at risk of long-lasting sick leaves, the objectives of this study were to inquire the diagnostic accuracy of length of sick leaves predicted in the Norwegian National Insurance Offices, and to compare their predictions with the self-predictions of the sick-listed.

Based on the current practice with identifying sick-listed individuals at risk of long-lasting sick leaves, the objectives of this study were to inquire diagnostic accuracy of predictions within the NIOs, and to compare their predictions with the self-predictions of the sick-listed.