Long-term sickness absence: changes in risk factors and the population at risk

2009 ◽  
Vol 22 (2) ◽  
Author(s):  
Ulrik Lidwall ◽  
Sisko Bergendorff ◽  
Margaretha Voss ◽  
Staffan Marklund
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Sickness Absence ◽  
Population At Risk ◽  
Changes In Risk

scholarly journals Prevenire la radicalizzazione e i comportamenti antisociali. Madri e bambini nei non-luoghi dell’educabilità

2021 ◽  
Vol 19 (2) ◽  
pp. 121-129
Author(s):  
Raffaella Biagioli
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Gender Difference ◽  
Social Inclusion ◽  
Daily Life ◽  
Population At Risk ◽  
Child Relationship ◽  
The Future ◽  
Mother Child Relationship

In the intersection with other dimensions such as ethnic, religious and social, the gender difference leads to dwell on aspects often neglected and to bring out the role of mothers in places of confinement that, together with their children, represent a population at risk for the difficulties inherent in the condition of restriction. The research is interested in understanding a mother-child relationship highly disturbed by some risk factors and the educational actions to be activated in the daily life of penitentiary institutions to support and accompany these women towards autonomy, to offer them possibilities of social inclusion and avoid marginalization that in the future could lead their children to seek radicalized insertion within groups.

scholarly journals Physical work environment risk factors for long term sickness absence: prospective findings among a cohort of 5357 employees in Denmark

BMJ ◽  
2006 ◽  
Vol 332 (7539) ◽  
pp. 449-452 ◽  
Author(s):  
Thomas Lund ◽  
Merete Labriola ◽  
Karl Bang Christensen ◽  
Ute Bültmann ◽  
Ebbe Villadsen
Keyword(s):  
Risk Factors ◽  
Work Environment ◽  
Sickness Absence ◽  
Physical Work ◽  
Physical Work Environment

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

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210359
Author(s):  
Kaat Goorts ◽  
Sofie Vandenbroeck ◽  
Tinne Vander Elst ◽  
Dorina Rusu ◽  
Marc Du Bois ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sickness Absence ◽  
Validation Study ◽  
Construct Validation ◽  
Cross Sectional

Long-term opioid users with chronic noncancer pain: Assessment of opioid abuse risk and relationship with healthcare resource use

2018 ◽  
Vol 14 (2) ◽  
pp. 131 ◽  
Author(s):  
Anna D. Coutinho, BPharm, PhD ◽  
Kavita Gandhi, BPharm, MS ◽  
Rupali M. Fuldeore, BAMS, MS ◽  
Pamela B. Landsman-Blumberg, MPH, DrPH ◽  
Sanjay Gandhi, PhD
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Opioid Abuse ◽  
Low Risk ◽  
Chronic Noncancer Pain ◽  
Cart Analysis ◽  
Risk Patients ◽  
Noncancer Pain ◽  
Abuse Risk

Objective: Identify opioid abuse risk factors among chronic noncancer pain (CNCP) patients receiving long-term opioid therapy and assess healthcare resource use (HRU) among patients at elevated abuse risk.Design: Data were obtained from an integrated administrative claims database. Classification and Regression Tree (CART) analysis identified risk factors potentially predictive of opioid abuse, which were used to classify the overall population into cohorts defined by levels of abuse risk. Multivariable logistic regression compared HRU across risk cohorts.Setting: Retrospective cohort study.Patients, participants: 21,072 patients aged ≥18 years diagnosed with ≥1 of 5 types of CNCP and a prescription for Schedule II or III/IV opioid medication used long-term (≥90 days).Main outcome measures: (1) Opioid abuse risk factors; (2) HRU differences between risk cohorts.Results: CART analysis identified four groups at elevated opioid abuse risk defined by three factors (age, daily opioid dose, and total days’ supply of opioids); sensitivity: 70.3 percent, specificity: 74.1 percent, and positive predictive value: 5.6 percent. The analysis results were used to classify patients into low-risk (72.5 percent), at-risk (25.4 percent), and opioid-abuser (2.2 percent) cohorts. In multivariable analysis, emergency department (ED) use was higher among at-risk vs low-risk patients (odds ratio [OR]: 1.14; p < 0.05); hospitalization and ED visits were higher for opioid-abusers vs low-risk patients (OR: 2.33 and 2.14, respectively; p < 0.05).Conclusions: This study identifies a subpopulation of CNCP patients at risk of opioid abuse. However, limited sensitivity and specificity of criteria defining this subpopulation reinforce the importance of physician discretion in patient-level treatment decisions.

scholarly journals A phenotypic, transcriptional and TCR Vβ repertoire signature of CD8+ T cells define a population at-risk of long-term kidney graft dysfunction

2012 ◽  
Vol 10 (S3) ◽  
Author(s):  
Nicolas Degauque ◽  
Françoise Boeffard ◽  
Annaick Pallier ◽  
Richard Danger ◽  
Magali Giral ◽  
...  
Keyword(s):  
At Risk ◽  
T Cells ◽  
Cd8 T Cells ◽  
Kidney Graft ◽  
Graft Dysfunction ◽  
Population At Risk

scholarly journals Predicting the Environmental Suitability and Population at Risk of Podoconiosis in Africa

2020 ◽  
Author(s):  
Kebede Deribe ◽  
Hope Simpson ◽  
Rachel L. Pullan ◽  
Mbonigaba Jean Bosco ◽  
Samuel Wanji ◽  
...  
Keyword(s):  
At Risk ◽  
Total Population ◽  
Social Stigma ◽  
Statistical Modelling ◽  
Environmental Data ◽  
Decision Makers ◽  
Lower Limbs ◽  
Population At Risk ◽  
Environmental Suitability

AbstractBackgroundPodoconiosis is a type of tropical lymphedema that causes massive swelling of the lower limbs. The disease is associated with both economic insecurity, due to long-term morbidity-related loss of productivity, and intense social stigma. The geographical distribution and burden of podoconiosis in Africa is uncertain.MethodsWe applied statistical modelling to the most comprehensive database compiled to date to predict the environmental suitability of podoconiosis in the African continent. By combining climate and environmental data and overlaying population figures, we predicted the suitability and human population at risk.ResultsIn Africa, environmental suitability for podoconiosis was predicted in 29 countries. By 2020, the total population in areas suitable for podoconiosis was estimated at 114.5 million people, (95% confidence interval: 109.4-123.9) with 16.9 million in areas suitable for both lymphatic filariasis and podoconiosis. Of the total 5,712 implementation units defined by WHO in Africa, 1,655 (29.0%) were found to be environmentally suitable for podoconiosis. The majority of IUs with high environmental suitability are located in Angola (80 IUs), Cameroon (170 IUs), the DRC (244 IUs), Ethiopia (495 IUs), Kenya (217 IUs), Uganda (116 IUs) and Tanzania (112 IUs). Of the 1,655 environmental suitable IUs, 960 (58.0%) require more detailed community-level mappingConclusionsOur estimates provide key evidence of the population at risk and geographical extent of podoconiosis in Africa, which will help decision-makers to better plan more integrated intervention programmes.

scholarly journals Prevention of sickness absence through early identification and rehabilitation of at-risk patients with musculoskeletal pain (PREVSAM): a randomised controlled trial protocol

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
MEH Larsson ◽  
L. Nordeman ◽  
K. Holmgren ◽  
A. Grimby-Ekman ◽  
G. Hensing ◽  
...  
Keyword(s):  
At Risk ◽  
Sickness Absence ◽  
Musculoskeletal Pain ◽  
Early Identification ◽  
Physical Disability ◽  
Persistent Pain ◽  
Short Term ◽  
Risk Patients

Abstract Background Musculoskeletal pain is globally a leading cause of physical disability. Many musculoskeletal-related pain conditions, such as low back pain, often resolve spontaneously. In some individuals, pain may recur or persist, leading to ong-term physical disability, reduced work capacity, and sickness absence. Early identification of individuals in which this may occur, is essential for preventing or reducing the risk of developing persistent musculoskeletal pain and long-term sickness absence. The aim of the trial described in this protocol is to evaluate effects of an early intervention, the PREVSAM model, on the prevention of sickness absence and development of persistent pain in at-risk patients with musculoskeletal pain. Methods Eligible participants are adults who seek health care for musculoskeletal pain and who are at risk of developing persistent pain, physical disability, and sickness absence. Participants may be recruited from primary care rehabilitation centres or primary care healthcare centres in Region Västra Götaland. Participants will be randomised to treatment according to the PREVSAM model (intervention group) or treatment as usual (control group). The PREVSAM model comprises an interdisciplinary, person-centred rehabilitation programme, including coordinated measures within primary health care, and may include collaboration with participants’ employers. The primary outcome sickness absence is operationalised as the number and proportion of individuals who remain in full- or part-time work, the number of gross and net days of sickness absence during the intervention and follow-up period, and time to first sickness absence spell. Secondary outcomes are patient-reported short-term sickness absence, work ability, pain, self-efficacy, health-related quality of life, risk for sickness absence, anxiety and depression symptoms and physical disability at 1 and 3 months after inclusion (short-term follow-up), and at 6 and 12 months (long-term follow-up). A cost-effectiveness analysis is planned and drug consumption will be investigated. Discussion The study is expected to provide new knowledge on the effectiveness of a comprehensive rehabilitation model that incorporates early identification of patients with musculoskeletal pain at risk for development of sickness absence and persistent pain. The study findings may contribute to more effective rehabilitation processes of this large patient population, and potentially reduce sickness absence and costs. Trial registration ClinicalTrials.gov Protocol ID: NCT03913325, Registered April 12, 2019. Version 2, 10 July 2020. Version 2 changes: Clarifications regarding trial aim and inclusion process.

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