Literature DB >> 35284618

Inequalities in recovery or methodological artefact? A comparison of models across physical and mental health functioning.

Salmela Jatta1, Brunton-Smith Ian2, Meadows Robert2.   

Abstract

Considerable attention has been paid to inequalities in health. More recently, focus has also turned to inequalities in 'recovery'; with research, for example, suggesting that lower grade of employment is strongly associated with slower recovery from both poor physical and poor mental health. However, this research has tended to operationalise recovery as 'return to baseline', and we know less about patterns and predictors when recovery is situated as a 'process'. This paper seeks to address this gap. Drawing on data from the UK Household Longitudinal Study, we operationalise recovery as both an 'outcome' and as a 'process' and compare patterns and predictors across the two models. Our analysis demonstrates that the determinants of recovery from poor health, measured by the SF-12, are robust, regardless of whether recovery is operationalised as an outcome or as a process. For example, being employed and having a higher degree were found to increase the odds of recovery both from poor physical and mental health functioning, when recovery was operationalised as an outcome. These variables were also important in distinguishing health functioning trajectories following a poor health episode. At one and the same time, our analysis does suggest that understandings of inequalities in recovery will depend in part on how we define it. When recovery is operationalised as a simple transition from poor health state to good, it loses sight of the fact that there may be inequalities (i) within a 'poor health' state, (ii) in how individuals are able to step into the path of recovery, and (iii) in whether health states are maintained over time. We therefore need to remain alert to the additional nuance in understanding which comes from situating recovery as a process; as well as possible methodological artefacts in population research which come from how recovery is operationalised.
© 2022 The Authors.

Entities:  

Keywords:  AMI, Acute myocardial infarction; APP, Average posterior probability; BIC, Bayesian information criterion; CI, Confidence interval; GBTM, Group-based trajectory modelling; GCSE, General Certificate of Secondary Education; Health inequalities; MCS, Mental component summary; OCC, Odds of correct classification; OR, Odds ratio; PCS, Physical component summary; Recovery; SES, Socioeconomic status; SF-12, 12-Item Short Form Survey; SF-36, 36-Item Short Form Survey; Socioeconomic inequalities; Trajectory modelling; United Kingdom

Year:  2022        PMID: 35284618      PMCID: PMC8914363          DOI: 10.1016/j.ssmph.2022.101067

Source DB:  PubMed          Journal:  SSM Popul Health        ISSN: 2352-8273


  46 in total

1.  Effect of socioeconomic status on aphasia severity and recovery.

Authors:  L T Connor; L K Obler; M Tocco; P M Fitzpatrick; M L Albert
Journal:  Brain Lang       Date:  2001-08       Impact factor: 2.381

2.  Recovery: an international perspective.

Authors:  Mike Slade; Michaela Amering; Lindsay Oades
Journal:  Epidemiol Psichiatr Soc       Date:  2008 Apr-Jun

3.  Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment.

Authors:  B Gandek; J E Ware; N K Aaronson; G Apolone; J B Bjorner; J E Brazier; M Bullinger; S Kaasa; A Leplege; L Prieto; M Sullivan
Journal:  J Clin Epidemiol       Date:  1998-11       Impact factor: 6.437

4.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

5.  SF-36 summary scores: are physical and mental health truly distinct?

Authors:  G E Simon; D A Revicki; L Grothaus; M Vonkorff
Journal:  Med Care       Date:  1998-04       Impact factor: 2.983

6.  A shorter form health survey: can the SF-12 replicate results from the SF-36 in longitudinal studies?

Authors:  C Jenkinson; R Layte; D Jenkinson; K Lawrence; S Petersen; C Paice; J Stradling
Journal:  J Public Health Med       Date:  1997-06

7.  Effect of socioeconomic status on functional and motor recovery after stroke: a European multicentre study.

Authors:  Koen Putman; Liesbet De Wit; Miranda Schoonacker; Ilse Baert; Hilde Beyens; Nadine Brinkmann; Eddy Dejaeger; Anne-Marie De Meyer; Willy De Weerdt; Hilde Feys; Walter Jenni; Christiane Kaske; Mark Leys; Nadina Lincoln; Birgit Schuback; Wilfried Schupp; Bozena Smith; Fred Louckx
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-12-08       Impact factor: 10.154

8.  Association between physical and mental health-related quality of life and adverse outcomes; a retrospective cohort study of 5,272 Scottish adults.

Authors:  Zia Ul-Haq; Daniel F Mackay; Jill P Pell
Journal:  BMC Public Health       Date:  2014-11-21       Impact factor: 3.295

9.  Assessing the reliability of the short form 12 (SF-12) health survey in adults with mental health conditions: a report from the wellness incentive and navigation (WIN) study.

Authors:  Tianyao Huo; Yi Guo; Elizabeth Shenkman; Keith Muller
Journal:  Health Qual Life Outcomes       Date:  2018-02-13       Impact factor: 3.186

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