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Outcomes| Volume 166, ISSUE 2, P177-183, August 2019

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Missed psychosocial risk factors during routine preoperative evaluations are associated with increased complications after elective cancer surgery

      Abstract

      Background

      Certain behavioral traits and inadequate social support are known risk factors for complications after cancer surgery. Despite their importance, it is unclear whether conventional patient preoperative evaluation captures them. This study was conducted to assess concordance between documentation and patient survey of selected risk factors and to determine whether failure to document affected postoperative outcomes.

      Methods

      Adult patients at a tertiary academic medical center were surveyed before abdominal cancer surgery to assess 6 psychosocial risk factors. Risk factors were also assessed by retrospective chart review and compared with survey results through concordance measures. Thirty-day postoperative complications were abstracted by chart review. Rates of major complications for those with and without clinically missed risk factors were compared.

      Results

      Comparisons between chart review and screening survey revealed poor-to-moderate positive agreement (0%–47%) for 5 risk factors and strong negative agreement (82%–99%) among all risk factors. Kappa analysis demonstrated poor-to-fair agreement among 5 risk factors (κ = 0.112–0.423). The overall complication rate was 36%. The complication rate for patients with at least 1 clinically missed risk factor was 49% vs 24% in those without (P = .021), with a similar effect replicated for each individual risk factor.

      Conclusion

      This study shows a high level of discordance between formal screening and routine clinician documentation in a preoperative setting for psychosocial risk factors. There is a significant association between missing these risk factors and worse postoperative outcomes. Future work should examine whether structured screening of psychosocial risk factors may improve preoperative risk stratification through proactive interventions.
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      References

        • Wyld L.
        • Audisio R.A.
        • Poston G.J.
        The evolution of cancer surgery and future perspectives.
        Nat Rev Clin Oncol. 2015; 12: 115-124
        • Leeds I.L.
        • Canner J.K.
        • Efron J.E.
        • et al.
        The independent effect of cancer on outcomes: A potential limitation of surgical risk prediction.
        J Surg Res. 2017; 220: 409.e6
        • Rausei S.
        • Chiappa C.
        • Franchin M.
        • et al.
        Malignancy as a risk factor in single-stage combined approach for simultaneous elective surgical diseases.
        Int J Surg. 2013; 11: 84
        • Foster C.
        • Haviland J.
        • Winter J.
        • et al.
        Pre-surgery depression and confidence to manage problems predict recovery trajectories of health and wellbeing in the first two years following colorectal cancer: Results from the CREW cohort study.
        PLoS One. 2016; 11: e0155434
        • Dunn J.
        • Ng S.K.
        • Holland J.
        • et al.
        Trajectories of psychological distress after colorectal cancer.
        Psychooncol. 2013; 22: 1759-1765
        • Sharma A.
        • Sharp D.M.
        • Walker L.G.
        • et al.
        Predictors of early postoperative quality of life after elective resection for colorectal cancer.
        Ann Surg Oncol. 2007; 14: 3435-3442
        • Foster C.
        • Fenlon D.
        Recovery and self-management support following primary cancer treatment.
        Br J Cancer. 2011; 105: 21
      1. Leeds IL, Canner JK, Gani F, et al. Increased healthcare utilization for medical comorbidities prior to surgery improves postoperative outcomes. Ann Surg. https://doi.org/10.1097/SLA.0000000000002851. [Epub ahead of print].

        • Castillo R.C.
        • Wegener S.T.
        • Newell M.Z.
        • et al.
        Improving outcomes at level I trauma centers: An early evaluation of the trauma survivors network.
        J Trauma Acute Care Surg. 2013; 74: 1534-1540
        • Herpertz S.
        • Kielmann R.
        • Wolf A.M.
        • et al.
        Do psychosocial variables predict weight loss or mental health after obesity surgery? A systematic review.
        Obes Res. 2004; 12: 1554-1569
        • Davidson T.
        • Rohde P.
        • Wastell C.
        Psychological profile and outcome in patients undergoing gastroplasty for morbid obesity.
        Obes Surg. 1991; 1: 177-180
        • Mackey E.R.
        • Olson A.
        • Merwin S.
        • Wang J.
        • Nadler E.P.
        Perceived social support for exercise and weight loss in adolescents undergoing sleeve gastrectomy.
        Obes Surg. 2018; 28: 421-426
        • Tripp D.A.
        • Abraham E.
        • Lambert M.
        • et al.
        Biopsychosocial factors predict quality of life in thoracolumbar spine surgery.
        Qual Life Res. 2017; 26: 3099-3110
        • Zegers M.
        • de Bruijne M.C.
        • Spreeuwenberg P.
        • et al.
        Quality of patient record keeping: An indicator of the quality of care?.
        BMJ Qual Saf. 2011; 20: 314-318
        • Day L.
        What is documentation for?.
        Am J Crit Care. 2009; 18: 77-80
        • Haglin J.M.
        • Zeller J.L.
        • Egol K.A.
        • Phillips D.P.
        Examination to assess the clinical examination and documentation of spine pathology among orthopedic residents.
        Spine J. 2017; 17: 1830-1836
        • Curtis J.R.
        • Sathitratanacheewin S.
        • Starks H.
        • et al.
        Using electronic health records for quality measurement and accountability in care of the seriously ill: Opportunities and challenges.
        J Palliat Med. 2018; 21: S60
        • Hong C.J.
        • Kaur M.N.
        • Farrokhyar F.
        • et al.
        Accuracy and completeness of electronic medical records obtained from referring physicians in a hamilton, ontario, plastic surgery practice: A prospective feasibility study.
        Plast Surg (Oakv). 2015; 23: 48-50
        • Wright A.
        • McCoy A.B.
        • Hickman T.T.
        • et al.
        Problem list completeness in electronic health records: A multi-site study and assessment of success factors.
        Int J Med Inform. 2015; 84: 784-790
        • Moran M.T.
        • Wiser T.H.
        • Nanda J.
        • Gross H.
        Measuring medical residents' chart-documentation practices.
        J Med Educ. 1988; 63: 859-865
        • Soto C.M.
        • Kleinman K.P.
        • Simon S.R.
        Quality and correlates of medical record documentation in the ambulatory care setting.
        BMC Health Serv Res. 2002; 2: 22
        • Green J.
        • Sullivan A.L.
        • Jureidini J.
        Shortcomings in psychosocial history taking in a paediatric emergency department.
        J Paediatr Child Health. 1998; 34: 188-191
        • Rozario P.A.
        • Morrow-Howell N.
        • Proctor E.
        Comparing the congruency of self-report and provider records of depressed elders' service use by provider type.
        Med Care. 2004; 42: 952-959
        • Abidi L.
        • Oenema A.
        • van den Akker M.
        • et al.
        Do general practitioners record alcohol abuse in the electronic medical records? A comparison of survey and medical record data.
        Curr Med Res Opin. 2018; 34: 567-572
        • Kwon J.H.
        • Tanco K.
        • Park J.C.
        • et al.
        Frequency, predictors, and medical record documentation of chemical coping among advanced cancer patients.
        Oncologist. 2015; 20: 692-697
        • Wang Y.
        • Chen E.S.
        • Pakhomov S.
        • et al.
        Investigating longitudinal tobacco use information from social history and clinical notes in the electronic health record.
        AMIA Annu Symp Proc. 2017; 2016: 1209-1218
        • Leeds I.L.
        • Meyers P.M.
        • Enumah Z.O.
        • et al.
        Psychosocial risks are independently associated with cancer surgery outcomes in medically comorbid patients.
        Ann Surg Oncol. 2019; 26: 936-944
        • Smith B.W.
        • Dalen J.
        • Wiggins K.
        • et al.
        The brief resilience scale: Assessing the ability to bounce back.
        Int J Behav Med. 2008; 15: 194-200
        • Kroenke K.
        • Spitzer R.L.
        • Williams J.B.
        The patient health questionnaire-2: Validity of a two-item depression screener.
        Med Care. 2003; 41: 1284-1292
      2. User guide for the 2014 ACS NSQIP participant use data file. American College of Surgeons National Surgical Quality Improvement Program 2015.

        • Cohen J.
        A coefficient of agreement for nominal scales.
        Educ Psychol Meas. 1960; 20: 37-46
        • Sim J.
        • Wright C.C.
        The kappa statistic in reliability studies: Use, interpretation, and sample size requirements.
        Phys Ther. 2005; 85: 257-268
        • Feinstein A.R.
        • Cicchetti D.V.
        High agreement but low kappa: I. The problems of two paradoxes.
        J Clin Epidemiol. 1990; 43: 543-549
        • Quintana M.
        • Viele K.
        • Lewis R.J.
        Bayesian analysis: Using prior information to interpret the results of clinical trials.
        JAMA. 2017; 318: 1605-1606
        • Hijazi Y.
        • Gondal U.
        • Aziz O.
        A systematic review of prehabilitation programs in abdominal cancer surgery.
        Int J Surg. 2017; 39: 156-162
        • Englesbe M.J.
        • Grenda D.R.
        • Sullivan J.A.
        • et al.
        The michigan surgical home and optimization program is a scalable model to improve care and reduce costs.
        Surgery. 2017; 161: 1659-1666
        • Adler N.E.
        • Stead W.W.
        Patients in context—EHR capture of social and behavioral determinants of health.
        N Engl J Med. 2015; 372: 698-701
        • Mann R.
        • Williams J.
        Standards in medical record keeping.
        Clin Med (Lond). 2003; 3: 329-332
        • Chow J.
        • Yvon C.
        • Stanger T.
        How complete are our clerkings? A project aimed at improving the quality of medical records by using a standardised proforma.
        BMJ Qual Improv Rep. 2014; 2
        • Hershey C.O.
        • Grant B.J.
        Controlled trial of a patient-completed history questionnaire: Effects on quality of documentation and patient and physician satisfaction.
        Am J Med Qual. 2002; 17: 126-135
        • Bailey E.A.
        • Wirtalla C.
        • Sharoky C.E.
        • et al.
        Disparities in operative outcomes in patients with comorbid mental illness.
        Surgery. 2018; 163: 667-671
        • Silvestre C.C.
        • Santos L.M.C.
        • de Oliveira-Filho A.D.
        • et al.
        What is not written does not exist: The importance of proper documentation of medication use history.
        Int J Clin Pharm. 2017; 39: 985-988
        • Haynes A.B.
        • Weiser T.G.
        • Berry W.R.
        • et al.
        A surgical safety checklist to reduce morbidity and mortality in a global population.
        N Engl J Med. 2009; 360: 491-499
        • Gilliland N.
        • Catherwood N.
        • Chen S.
        • et al.
        Ward round template: Enhancing patient safety on ward rounds.
        BMJ Open Qual. 2018; 7: 000170

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