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Lindahl M, Juneja H. I'll be back - Predictive validity of adults' expectations for recovery after fractures - A longitudinal observational study. Injury 2023:S0020-1383(23)00246-2. [PMID: 36925373 DOI: 10.1016/j.injury.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 02/27/2023] [Accepted: 03/05/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE Recovery after fractures due to accidents relates to all aspects of the biopsychosocial model. Therefore, it is difficult for the patients to foresee the consequences of the fractures. This study aimed to examine 1) patients' expectations regarding the impact of the injury on everyday life, 2) predictive validity of their expectations after six months, and 3) factors that predict a return to work. PATIENTS AND METHODS Patients were 18-64 years old and hospitalized with simple or compound/multiple fractures due to an accident. During admission, structured interviews were conducted with a questionnaire covering working conditions, expectations regarding recovery, sports, economy, family, household, and return to work. Additionally, mental and physical status were covered with Short Musculoskeletal Function Assessment questionnaire (SMFA) and Short Form 36, and working conditions were uncovered too. After six months, telephonic interviews were conducted with the 164 available patients to elucidate the impact of the fractures on everyday life, their health status, and sick leave. Likelihood ratios, post-test probabilities, and logistic regression analysis were performed to establish if patients' expectations predicted recovery, economy, sports, family, household, and return to work. RESULTS Few patients' baseline expectations about everyday life were met. The likelihood ratios were small, and the post-test probabilities for expectations consistent with outcomes were between 18% and 68%, with recovery as the lowest and participation in sports as the highest. In the multivariate analysis, patients' expectations did not predict short-term (less than two months) or long-term sick leave (more than three months). Self-rated health and the bother index of SMFA were significant short-term and long-term predictors for sick leave. Additionally, vitality, pain, and decision latitude at work predicted sick leave of less than two months. CONCLUSION A few days after the accident, patients' expectations about everyday life are not associated with outcomes six months later. Likelihood ratios indicate difficulties for the patients in predicting fractures' consequences on various aspects of everyday life. Return to work was associated with self-rated health and the bother index of SMFA. Future research should examine if fracture patients can benefit from comprehensive, individual counseling during admission to set appropriate expectations.
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Affiliation(s)
- Marianne Lindahl
- Centre for Health and Rehabilitation, University College Absalon, Slagelse, Denmark.
| | - Hemant Juneja
- Centre for Health and Rehabilitation, University College Absalon, Slagelse, Denmark
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Harbertson J, MacGregor AJ, McCabe CT, Eskridge SL, Jurick SM, Watrous JR, Galarneau MR. Differences in quality-of-life scores across injury categories by mental health status among injured U.S. military service members and veterans. Qual Life Res 2023; 32:461-472. [PMID: 36301403 DOI: 10.1007/s11136-022-03263-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Posttraumatic stress disorder (PTSD) and depression are strong predictors of poor health-related quality of life (HRQOL) among injured U.S. military service members (SMs). Patterns of HRQOL between injury categories and injury categories stratified by mental health (MH) symptoms have not been examined. Among deployment-injured SMs and veterans (n = 4353), we examined HRQOL and screening data for PTSD and/or depression within specific injury categories. METHODS Participants included those enrolled in the Wounded Warrior Recovery Project with complete data for HRQOL (SF-36) from June 2017 to May 2020. Injuries were categorized using the Barell Injury Diagnosis Matrix (Barell Matrix). Mean physical component summary (PCS) and mental component summary (MCS) scores were calculated for each injury category and stratified by the presence or absence of probable PTSD and/or depression. RESULTS The average follow-up time that participants were surveyed after injury was 10.7 years. Most participants were male, non-Hispanic White, served in the Army, and enlisted rank. Mechanism of injury for 77% was blast-related. Mean PCS and MCS scores across the entire sample were 43.6 (SD = 10.3) and 39.5 (SD = 13.3), respectively; 50% screened positive for depression and/or PTSD. PCS and MCS scores were significantly lower within each injury category among individuals with probable PTSD and/or depression than those without. CONCLUSION Among deployment-injured SMs, those with probable PTSD and/or depression reported significantly lower HRQOL within injury categories and HRQOL component (i.e., physical or mental) than those without. Findings are consistent with prior reports showing mental health symptoms to be strongly associated with lower HRQOL and suggest integration of mental health treatment into standard care practices to improve long-term HRQOL.
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Affiliation(s)
- Judith Harbertson
- Leidos, Inc., San Diego, CA, USA. .,Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA.
| | - Andrew J MacGregor
- Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA.,Axiom Resource Management, Inc., San Diego, CA, USA
| | - Cameron T McCabe
- Leidos, Inc., San Diego, CA, USA.,Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA
| | - Susan L Eskridge
- Leidos, Inc., San Diego, CA, USA.,Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA
| | - Sarah M Jurick
- Leidos, Inc., San Diego, CA, USA.,Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA
| | - Jessica R Watrous
- Leidos, Inc., San Diego, CA, USA.,Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106-3521, USA
| | - Michael R Galarneau
- Operational Readiness Research Directorate, Naval Health Research Center, San Diego, USA
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