Plain English summary
Background
Methods
Search strategy
Eligibility criteria
Data screening and extraction
Reference and country | Design | Number of participants | Rehabilitation setting | Age group | QOL outcome measure |
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Alway et al., (2016) Australia | Prospective longitudinal | N = 203 TBI = 203 Males = 159 Females = 44 | Inpatient | Mean age = 34.4 years | QOLI |
Andelic et al., (2009) Norway | Retrospective longitudinal | N = 62 TBI = 62 Males = 47 Females = 15 | Outpatient | Mean age = 40.8 years | SF-36 |
Andelic et al., (2015) Norway | Prospective longitudinal | N = 97 TBI = 97 Males = 76 Females = 21 | Outpatient | Mean age at injury = 30.9 years | SF-36 |
Andelic et al., (2018) Norway | Prospective longitudinal | N = 44 TBI = 44 Males = 33 Females = 11 | Outpatient | Mean age = 50.8 years | SF-36 |
Azouvi et al., (2016) France | Prospective longitudinal | N = 85 TBI = 85 Males = 69 Females = 16 | Outpatient | Mean age = 31.7 years | QOLIBRI |
Bosma et al., (2018) Switzerland | Prospective longitudinal | N = 108 TBI = 108 Males = 81 Females = 25 | Inpatient | Mean age (under 50 years group) = 28.3 years, mean age (older than 50 years group) = 65.92 years | SF-12 |
Cantor et al., (2008) United States | Cross-sectional | N = 308 (including 64 mild TBI and 85 controls) TBI = 105 Males = 151 Females = 157 | Outpatient | Mean age (TBI) = 47.8 years | SF-36 and Life-3 |
Delft-Schreurs et al., (2014) Netherlands | Cross-sectional | N = 173 TBI = 173 Males = 120 Females = 53 | Outpatient | Mean age = 47 years | WHOQOL-BREF |
Diaz et al., (2012) Brazil | Prospective longitudinal | N = 33 TBI = 33 Males = 29 Females = 4 | Inpatient | Mean age = 31.36 years | SF-36 |
Douglas (2020) Australia | Cross-sectional | N = 23 TBI = 23 Males = 20 Females = 3 | Outpatient | Mean age = 36.96 years | Self-rated QOL scale |
Esbjörnsson et al., (2013) Sweden | Cross-sectional | N = 18 TBI = 18 Males = 9 Females = 9 | Not specified | Age range = 19 to 62 years | EQ-5D and EQ-VAS |
Farmer et al., (2003) United States | Cross-sectional | N = 56 TBI = 56 Males = 29 Females = 27 | Outpatient | Mean age = 38 years | QOL scale |
Forslund et al. (2013) Norway | Prospective longitudinal | N = 91 TBI = 91 Males = 70 Females = 21 | Outpatient | Mean age = 31.1 years | SF-36 |
Forslund et al., (2021) Norway | Prospective longitudinal | N = 97 TBI = 97 Males = 76 Females = 21 | Outpatient | Mean age = 30.3 years | SF-36 |
Gaertner et al. (2020) Switzerland | Prospective longitudinal | N = 174 TBI = 174 Males = 132 Females = 42 | Outpatient | Mean age = 51 years | SF-12 |
Genova et al. (2017) United States | Case–control | N = 74 (including 2 mild TBI, 1 missing severity, 27 controls) TBI = 44 Males = N/S Females = N/S | Not specified | Mean age (TBI) = 39.17 years | Health Status Questionnaire |
Gorgoraptis et al., (2019) United Kingdom | Retrospective cross-sectional | N = 240 (including 41 mild TBI, 27 symptomatic TBI) TBI = 172 Males = 174 Females = 66 | Outpatient | Age range = 22–91 years | SF-36 |
Gould et al., (2011) Australia | Prospective longitudinal | N = 122 TBI = 122 Males = 96 Females = 26 | Outpatient | Mean age at injury = 34.89 years | QOLI |
Gould et al., (2015) Australia | Prospective longitudinal | N = 95 Males = 75 Females = 20 TBI = 95 | Outpatient | Mean age at injury = 38.2 years | QOLI |
Goverover et al., (2014) United States | Cross-sectional | N = 30 (5 mild TBI, 4 undetermined severity) TBI = 21 Males = 20 Females = 10 | Outpatient | Mean age = 40.03 years | SF-12 |
Goverover et al., (2017) United States | Case–control | N = 82 (including 30 controls) TBI = 52 Males = 33 Females = 19 | Outpatient | Mean age (TBI) = 39.1 years | SF-36 |
Grauwmeijer et al., (2014) Netherlands | Prospective longitudinal | N = 97 TBI = 97 Males = 70 Females = 27 | Inpatient and outpatient | Mean age = 32.8 years | SF-36 |
Grauwmeijer et al., (2018) Netherlands | Prospective longitudinal | N = 50 TBI = 50 Males = 34 Females = 16 | Inpatient and outpatient | Age range at injury = 16 to 67 years | SF-36 |
Gregorio et al., (2014) Australia | Prospective longitudinal | N = 174 (including 22 mild TBI) TBI = 152 Males = 139 Females = 35 | Inpatient and outpatient | Mean age at injury = 34.3 | QOLI |
Henry et al., (2006) United Kingdom | Case-control | N = 59 (including 31 controls) TBI = 28 Males (TBI) = 22 Females (TBI) = 6 | Outpatient | Mean age = 40.3 years | LEIPAD |
Hibbard et al., (2004) United States | Prospective longitudinal | N = 188 (including 53 with loss of conscious below 20 min, 17 not specified) TBI = 118 Males = 100 Females = 88 | Outpatient | Mean age = 40.4 years | LLATBI, UIN/ Flanagan Scale of Needs, Life-3 |
Huebner et al., (2003) United States | Retrospective longitudinal | N = 25 (including 3 mild TBI) TBI = 22 Males = 17 Females = 8 | Outpatient | Mean age = 43.79 years | QOLR |
Jacobsson et al., (2010) Sweden | Case-control | N = 67 (including 32 mild TBI) TBI = 35 Males = 51 Females = 16 | Outpatient | Mean age = 44 years | SF-36 |
Johnson & Ditchman (2020) United States | Cross-sectional | N = 183 (including 33 of acquired brain injury) TBI = 150 Males = 61 Females = 108 (missing sex information for 14 participants) | Outpatient | Mean age = 49 years | SWLS |
Kalpakjian et al., (2004) United States | Cross-sectional | N = 50 TBI = 50 Males = 32 Females = 18 | Outpatient | Mean age = 38.74 years | QOLI |
Koskinen et al., (1998) Finland | Prospective longitudinal | N = 15 TBI = 15 Males = 12 Females = 3 | Inpatient and Outpatient | Age range = 22 to 49 years | Life satisfaction measure |
McLean et al., (2014) Canada | Cross-sectional | N = 46 TBI = 46 Males = 31 Females = 15 | Outpatient | Mean age = 44.17 years | QOLHQ, AKHS, UCLA-LS |
Nalder et al., (2012) Australia | Prospective longitudinal | N = 127 TBI = 127 Males = 99 Females = 28 | Outpatient | Age range = 18 to 60 years | EQ-5D |
O'Neill et al., (1998) United States | Cross-sectional | N = 337 (including 70 with loss of consciousness below 20 min) TBI = 267 Males = 197 Females = 140 | Outpatient | Age range = 18 to 64 years | Bigelow QOL Questionnaire, Global QOL questionnaire |
Pettemeridou et al., (2020) Cyprus | Case–control | N = 57 (including 24 controls) TBI = 33 Males = 57 | Inpatient | Mean age = 31.92 years | WHOQOL-BREF and QOLIBRI |
Rauen et al., (2020) Germany | Cross-sectional | N = 135 (including 18 mild TBI, 51 not severity unspecified) TBI = 66 Males = 103 Females = 32 | Outpatient | Mean age = 53.1 years | QOLIBRI |
Rauen et al., (2021) Germany | Cross-sectional | N = 135 (including 18 mild, 51 severity not specified) TBI = 66 Males = 102 Females = 33 | Outpatient | Mean age (males/females) = 53.08/53.24 years | QOLIBRI |
Reddy et al., (2017) India | Cross-sectional | N = 60 (including 26 severity not specified) TBI = 34 Males = 54 Females = 6 | Inpatient and outpatient | Mean age = 28.27 years | WHOQOL Assessment-BREF |
Sashika et al., (2017) Japan | Cross-sectional | N = 31 (including 5 mild TBI) TBI = 26 Males = 17 Females = 14 | Outpatient | Age range = 18 to 63 years | SF-36 |
Sasse et al., (2014) Germany | Cross-sectional | N = 141 (including 44 mild TBI, 25 complicated mild) TBI = 61 Males = 100 Females = 41 | Inpatient | Age range = 17 to 68 years | QOLIBRI, SF-36 |
Soberg et al., (2013) Norway | Prospective longitudinal | N = 126 TBI = 126 Males = 98 Females = 28 | Inpatient | Mean age = 38.9 years | QOLIBRI |
Steadman-Pare et al. (2001) United States | Retrospective longitudinal | N = 275 TBI = 275 Males = 194 Females = 81 | Outpatient | Mean age = 43.3 years | Self-rated QOL measure |
Takada et al., (2016) Japan | Cross-sectional | N = 29 (including 9 mild TBI) TBI = 20 Males = 16 Females = 13 | Outpatient | Mean age = 38.8 years | SF-36 |
Tomberg et al., (2005) Estonia | Case-control | N = 153 (including 68 controls) TBI = 85 Males (TBI) = 69 Females (TBI) = 16 | Outpatient | Mean age = 37.7 years | RAND-36 |
Tomberg et al., (2007) Estonia | Prospective longitudinal | N = 31 TBI = 31 Males = 25 Females = 6 | Outpatient | Mean age = 43.8 years | RAND-36 |
Tsaousides et al., (2008) United States | Cross-sectional | N = 317 (including 108 mild TBI) TBI = 207 Males = 182 Females = 135 | Outpatient | Mean age = 40.79 years | LLATBI, Life -3 |
Tsaousides et al., (2009) United States | Cross-sectional | N = 425 (including 98 with loss of consciousness below 20 min) TBI = 205 Males = 237 Females = 188 | Outpatient | Mean age = 34.9 years | Life-3, UIN/ Flanagan Scale of Needs |
Tsaousides et al., (2011) United States | Cross-sectional | N = 356 (including 134 mild TBI) TBI = 222 Males = 186 Females = 170 | Outpatient | Mean age = 44.45 years | Life-3 |
Ulfarsson et al., (2014) Sweden | Retrospective longitudinal | N = 51 TBI = 51 Males = 38 Females = 13 | Outpatient | Mean age = 37.9 years | SF-36 |
Vickery et al. (2005) United States | Cross-sectional | N = 19 (including 1 mild TBI, 4 with acquired brain injury) TBI = 14 Males = 13 Females = 6 | Inpatient | Mean age = 30.3 years | QOLI |
Wielenga-Boiten et al., (2015) Netherlands | Prospective longitudinal | N = 85 TBI = 85 Males = 59 Females = 26 | Inpatient and outpatient | Mean age = 32.1 years | SIP-68 |
Williams et al., (2012) Australia | Cross-sectional | N = 39 TBI = 39 Males = 29 Females = 10 | Inpatient | Mean age = 27.7 years | WHOQOL-BREF, AQOL-2 |
Reference | Biological factors | Psychological factors | Social factors |
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Alway et al., (2016) | Posttraumatic stress Participants with posttraumatic stress had lower QOLI scores compared to participants with no posttraumatic stress | ||
Andelic et al., (2009) | Epilepsy Individuals with epilepsy had lower scores for Vitality and Role- Emotional domains Sex Females reported lower QOL scores than males in the Mental Health domain | Depression Individuals with depression scored worse on all SF-36 subscales | Employment Employed participants showed better scores than unemployed participants in the Physical Functioning, Role-Physical, and Role-Emotional domains |
Andelic et al., (2015) | Sex Females reported lower scores on Role–Physical, Bodily Pain (more pain) and General Health domains overtime TBI severity Overtime, higher severity of TBI was associated with lower Physical Functioning but higher General Health (only at the first-year follow-up) and Role-Physical domains | Education Participants with a higher level of education reported higher Physical Functioning overtime Employment Unemployment was associated with lower Physical Functioning and General Health domains. Working in a physical job reported worse General Health overtime | |
Andelic et al., (2018) | Sex Being a female at 10 years predicted poorer mental health at 20 years | Depression Having depression at 10 years predicted worse mental and physical health at 20 years | Community integration (productivity) Engaging in activities (i.e., work, school) at 10 years predicted better physical and mental health at 20 years |
Azouvi et al., (2016) | Age Age had an indirect influence on QOL Cognition Cognition was a direct predictor of QOL | Depression/Anxiety Depression/anxiety were direct predictors of QOL Somatic impairments Somatic impairments such as pain, motor, and balance deficits had an indirect influence on QOL | |
Bosma et al., (2018) | Posttraumatic stress Symptoms of posttraumatic stress were negatively associated with mental HRQOL | ||
Cantor et al., (2008) | Fatigue Fatigue negatively correlated with all aspects of the SF-36 for both controls and individuals with TBI. Fatigue was correlated with overall QOL (Life-3) for individuals with TBI | ||
Delft-Schreurs et al., (2014) | Age Older age was associated with higher QOL in the environmental domain Length of hospital stay Longer hospitalization was associated with lower QOL in the physical domain Length of ICU treatment Longer ICU treatment was associated with lower QOL in the physical domain Pre-injury comorbidity (physical and mental) Having a pre-injury physical comorbidity was associated with lower QOL in the physical domain. Undergoing pre-injury mental treatment was associated with lower QOL in the physical and psychological domains Thoracic injury Thoracic injuries, when compared to other body regions, was associated with better QOL in the environmental domain | Employment Resuming employment and was associated with high QOL on all domains Living with others Living with other individuals was associated with high QOL on all domains | |
Diaz et al., (2012) | Major depressive disorder Participants with major depressive disorder showed impairment in all SF-36 domains Personality changes Participants with personality changes reported lower scores in the General Health, Physical, and Social Functioning domains of the SF-36 | ||
Douglas (2020) | Number of friends An association was reported between the number of friends and QOL | ||
Esbjörnsson et al., (2013) | Cognition (Cognitive attention, executive functioning) Participants who reported better cognition, attention, and had fewer problems in planning had higher QOL | Depression Participants who were found to be less depressed had better QOL Motivation Participants who were more motivated had better QOL | Socially isolated Participants who were less socially isolated reported higher QOL |
Farmer et al., (2003) | Environmental setting Living in a rural setting was a predictor of high QOL Seeking social support Positive appraisals in seeking social support were a predictor of high QOL while hesitation in seeking social support was correlated with low QOL Productive activities Predictors of high QOL were increased time in productive activities | ||
Forslund et al. (2013) | Age Being older than 31 years of age indicated lower scores for the Role-Physical domain. Additionally, younger age was a predictor of higher physical QOL TBI severity Higher severity of TBI was a predictor of higher physical QOL Functional Independence There were differences in QOL between participants who had more functional independence compared to those who had less independence Trauma Participants with less severe overall trauma had worse Bodily Pain scores | Depression Participants with depression reported lower HRQOL in all SF-36 subscales, when compared with participants without depression. Lower depression was a predictor of higher mental QOL Positive change More positive change was a predictor of higher mental and physical QOL | Community integration More community integration was a predictor of higher physical QOL. There were differences in QOL between participants who had more community integration compared to individuals with less integration Education Being educated for more than 12 years showed better Physical Functioning Employment Being employed at the time of injury indicated better HRQOL in all domains |
Forslund et al., (2021) | Posttraumatic amnesia Shorter periods of posttraumatic amnesia were predictive of physical health Sex Being a male predicted higher physical and mental health trajectories over the 10-year follow-up Time since injury Over time, both physical and mental health increased | Employment (pre-injury) Being employed pre-injury predicted higher physical and mental health trajectories over the 10-year follow-up | |
Gaertner et al. (2020) | Relatives’ interpersonal functioning Relatives’ interpersonal functioning was positively associated with mental HRQOL. Additionally, relatives increasing interpersonal functioning was positively associated with physical HRQOL in participants > 50 years | ||
Genova et al. (2017) | Facial affect recognition Better performance on facial affect recognition tasks was associated with poorer social and emotional QoL | ||
Gorgoraptis et al., (2019) | Cognition Participants with cognitive impairment reported low scores on the Physical Functioning, Social and Emotional Role functioning, and Mental Health subscales. Cognitive impairment was a predictor for poorer HRQOL on the Social and Emotional Role subscale, independent of depression, sleep disturbance, excessive daytime sleepiness, and severity Excessive daytime sleepiness Participants with excessive daytime sleepiness had low HRQOL on all SF-36 domains except Physical Functioning Sleep disturbance Participants sleep disturbance had low HRQOL on all SF-36 domains | Depression Participants with depression had low HRQOL on all SF-36 domains | |
Gould et al., (2011) | Anxiety Depression Psychiatric disorder Having an anxiety, depressive, or a psychiatric disorder, at 12 months post- injury was associated with poorer QOL | ||
Gould et al., (2015) | Positive changes Participants with positive changes in life post- TBI had higher QOL scores at 6-, 12-, and 24-months post-injury | ||
Goverover et al., (2014) | Depression Depression was associated with lower HRQOL Self-awareness Higher levels of self-awareness were associated with poorer HRQOL | ||
Goverover et al., (2017) | Time since injury Time since injury is a predictor of HRQOL | Depression Depression is a predictor of HRQOL | Activities (everyday) More current and retained activities since injury correlated with higher mental HRQOL |
Grauwmeijer et al., (2014) | Age Age was a predictor for physical HRQOL Functional independence Functional independence was a predictor for physical and mental HRQOL Length of hospital stay Length of hospital stay was a predictor for physical and mental HRQOL TBI severity TBI severity was a predictor for mental HRQOL Time since injury Time after injury was a predictor for physical HRQOL | Psychiatric disorders Psychiatric disorders were a predictor for mental HRQOL | Discharge destination Discharge destination was a predictor for physical HRQOL |
Grauwmeijer et al., (2018) | Depression Participants with depression had worse scores in all SF-36 domains, except Physical Functioning and Bodily Pain | ||
Gregorio et al., (2014) | Coping styles An increase in non-productive coping styles (passive reactions/avoidance strategies) were associated with lower QOL | ||
Henry et al., (2006) | Difficulty in identifying emotions (alexithymia) Participants who had alexithymia reported poorer QOL | ||
Hibbard et al., (2004) | Depression At the 12-month follow-up, individuals with no depression had higher QOL than the chronic or late onset depression groups, and an equivalent rating with the resolved depression group | ||
Huebner et al., (2003) | Disability (activity restriction) Individuals who had fewer disabilities had higher QOL | Community integration Individuals who had more community integration had higher QOL | |
Jacobsson et al., (2010) | Sex Males reported lower scores on most of the SF-36 domains except for Role-Emotional and Mental Health domains Time since injury Participants who had a longer time since injury reported better HRQOL | Self-appraisal Self-appraisal was a predictor of physical HRQOL | Marital status Participants who were single or divorced had lower HRQOL in most domains Productive activities Participants who were not engaged in a productive activity (studying or working) had lower HRQOL in most domains. Engagement in a productive activity was a predictor of physical HRQOL |
Johnson et al., (2020) | Symptom severity Severity of symptoms was negatively correlated with QOL | Self-efficacy and self-determination (mastery) Self-efficacy, and self-determination were correlated positively with QOL. Mastery was moderately associated with QOL | Social support Social support was correlated positively and moderately associated with QOL |
Kalpakjian et al., (2004) | Positive affect Positive affect was associated with good QOL | Community integration Community integration was associated with good QOL Social support Social support was associated with good QOL | |
Koskinen et al. (1998) | Friendship Participants who reported a decrease in friendships had low QOL Intimate relationships Participants who reported a decrease in intimate relationships had low QOL Activities (leisure) Participants who reported a decrease in leisure activities had low QOL | ||
McLean et al., (2014) Canada | Social participation Enjoyment with social participation Satisfaction with social participation Satisfaction and enjoyment with performance, and higher proportion of activities performed with others were positively correlated with QOL | ||
Nalder et al., (2012) | Transition success from hospital to home Increased transition success was correlated with high HRQOL | ||
O'Neill et al., (1998) | Employment Being employed was correlated with higher QOL | ||
Pettemeridou et al., (2020) | Cognition (executive functioning) Individuals with lower executive functioning reported higher scores on the social relationship domain of QOLIBRI | Self-awareness Participants with lower self-awareness reported higher QOL on cognition, self, and the total score of the QOLIRBI, and higher scores on the psychological domain of the WHOQOL-BREF | |
Rauen et al., (2020) | TBI severity HRQOL was weakly associated with initial TBI severity | Anxiety Depression 36% of participants reported low HRQOL due to depression and/or anxiety | |
Rauen et al., (2021) | Age Sex More females reported poorer HRQOL. Particularly older females (54 to 76 years) reported poorer HRQOL on the cognition, emotion, and self-perception subscales of the QOLIBRI | ||
Reddy et al., (2017) | Cognition Motor speed and visual memory were correlated with the psychological QOL domain. Additionally, there was a positive correlation between the physical, psychological, environmental, and overall QOL with category fluency and verbal delayed memory | Education The numbers of educational years were correlated with the environmental QOL domain | |
Sashika et al., (2017) | Social participation Participants who had difficulties in their social participation had lower HRQOL in the role/social component than participants who achieved social participation | ||
Sasse et al., (2014) | Coping styles Action/Distraction coping strategies were weakly and positively correlated with the Self and Social Relationships of the QOLIBRI, but there were no correlations with the SF-36. Trivialisation/Resignation coping strategies were negatively correlated with all HRQOL domains | ||
Soberg et al., (2013) | Disabilities More disabilities predicted worse HRQOL | Anxiety Depression Higher levels of anxiety/depression predicted worse HRQOL | Employment (pre-injury) Pre-injury employment predicted better HRQOL |
Steadman-Pare et al. (2001) | Sex Being a female was associated with higher QOL | Education Education correlated with higher QOL Marital status Being married correlated with higher QOL Social participation Higher participation was correlated with higher QOL and engaging in work and leisure were associated with higher QOL Social support Social support correlated with higher QOL while more availability of emotional support was associated with higher QOL | |
Takada et al., (2016) | Social support Family support was associated with the Role-Social component of the SF-36 | ||
Tomberg et al., (2005) | Coping styles Participants with TBI used task-oriented coping less often than controls, however the usage of task-oriented coping styles reported a moderate correlation in the domain of Physical Functioning, and weak correlations in domains of Emotional Well-being, Energy/Fatigue, Social Functioning, and General Health Optimistic life orientation Optimistic life orientation was moderately correlated with all QOL domains | Satisfaction with social support Being satisfied with social support was moderately correlated with all QOL domains except health change | |
Tomberg et al., (2007) | Age Age influenced QOL | Coping styles The use of avoidance strategies correlated with lower QOL in the sociality domain | Education Education influenced QOL Satisfaction with social support Satisfaction with social support influenced QOL Work adjustment Work adjustment influenced QOL |
Tsaousides et al., (2008) | TBI Severity TBI severity was associated with higher QOL | Employment Higher employment was associated with higher QOL Income Income was associated with higher QOL Work discrepancy Reduced work discrepancy was associated with lower QOL | |
Tsaousides et al., (2009) | Age Age at injury was positively correlated with UIN and a predictor for Life-3 TBI severity Injury severity was negatively correlated with UIN and a predictor for UIN | Self-efficacy (general and employment-related) Employment related self-efficacy and general self-efficacy correlated positively with Life-3 but negatively with UIN. Employment related self-efficacy was a predictor for Life-3, while general self-efficacy was a predictor of Life-3 and UIN | Employment Employment was correlated positively with Life-3 Income Higher income was correlated with higher QOL on both QOL measures. Income was also a predictor of life-3 and UIN |
Tsaousides et al., (2011) | Suicide ideation Participants who had suicide ideation reported lower QOL | ||
Ulfarsson et al., (2014) | Substance Use Participants who had a history of drug and alcohol abuse pre-injury reported worse HRQOL at follow-up | Employment (pre-injury) Pre-injury unemployment predicted worse HRQOL in the Physical Functioning domain Sick leave (pre-injury) A history of sick leave predicted worse HRQOL in the Physical Functioning domain | |
Vickery et al. (2005) | Depression Lower levels of depression were correlated with higher QOL Positive views of self More positive views of self were correlated with higher QOL | ||
Wielenga-Boiten et al., (2015) | Cognition Higher cognition was associated with higher total HRQOL. Cognition was also associated with psychosocial HRQOL Functional independence Higher functional independence was associated with higher total HRQOL and was associated with physical HRQOL Length of hospital stay Length of hospital stay was associated with physical HRQOL | Anxiety Depression The absence of anxiety/depression were associated with higher total HRQOL and psychosocial HRQOL Health locus of control Having a greater belief that health status was influenced by chance, was associated with lower total HRQOL. Additionally, it was associated with psychosocial HRQOL | Discharge destination (nursing home vs home) Discharge destination was associated with psychosocial and physical HRQOL. Not being discharged to a nursing home was associated with higher total HRQOL |
Williams et al., (2012) | Mobility Mobility had a moderate correlation with the coping domains of the AQOL-2 measure, and strong correlations with the independent living and social domains of AQOL-2. Mobility did not correlate with the WHOQOL-BREF measure |