"What should I do when I get home?" treatment plan discussion at discharge between specialist physicians and older in-patients: mixed method study

Tahreem Ghazal Siddiqui, Socheat Cheng, Marte Mellingsæter, Ramune Grambaite, Pål Gulbrandsen, Christofer Lundqvist, Jennifer Gerwing, Tahreem Ghazal Siddiqui, Socheat Cheng, Marte Mellingsæter, Ramune Grambaite, Pål Gulbrandsen, Christofer Lundqvist, Jennifer Gerwing

Abstract

Background: During discharge from hospital, older patients and physicians discuss the plan for managing patients' health at home. If not followed at home, it can result in poor medication management, readmissions, or other adverse events. Comorbidities, polypharmacy and cognitive impairment may create challenges for older patients. We assessed discharge conversations between older in-patients and physicians for treatment plan activities and medication information, with emphasis on the role of cognitive function in the ongoing conversation.

Methods: We collected 11 videos of discharge consultations, medication lists, and self-reported demographic information from hospitalised patients ≥65 years at the Geriatric department in a general hospital. Mini Mental State Examination score < 25 was classified as low cognitive function. We used microanalysis of face-to-face dialogue to identify and characterise sequences of interaction focused on and distinguishing the treatment plan activities discussed. In addition to descriptive statistics, we used a paired-sample t-test and Mann-Whitney U test for non-parametric data.

Results: Patients' median age was 85 (range: 71-90);7 were females and 4 males. Median of 17 (range: 7 to 23) treatment plan activities were discussed. The proportions of the activities, grouped from a patient perspective, were: 0.40 my medications, 0.21 something the hospital will do for me, 0.18 someone I visit away from home, 0.12 daily routine and 0.09 someone coming to my home. Patients spoke less (mean 190.9 words, SD 133.9) during treatment plan activities compared to other topics (mean 759 words, SD 480.4), (p = .001). Patients used on average 9.2 (SD 3.1) medications; during the conversations, an average of 4.5 (SD 3.3) were discussed, and side effects discussed on average 1.2 (SD 2.1) times. During treatment plan discussions, patients with lower cognitive function were less responsive and spoke less (mean 116.5 words, SD 40.9), compared to patients with normal cognition (mean 233.4 words, SD 152.4), (p = .089).

Conclusion: Physicians and geriatric patients discuss many activities during discharge conversations, mostly focusing on medication use without stating side effects. Cognitive function might play a role in how older patients respond. These results may be useful for an intervention to improve communication between physicians and older hospitalised patients.

Keywords: Clinical communication; Discharge; Elderly; Medication use; Physicians.

Conflict of interest statement

CL has participated on an advisory board and received payment for lectures arranged by Abbvie Pharma AS and Roche AS, Norway. He has also received research sponsorship from Abbvie Pharma. All other authors declare having no conflicts of interest.

Figures

Fig. 1
Fig. 1
Study participation flow chart at baseline and in-depth sample for current study. Cognistat = The Neurobehavioral Cognitive Status Examination
Fig. 2
Fig. 2
Video analysis by stages. Footnote: RQ = research question, UOA = unit of analysis, QT = quantitative, QL = qualitative

References

    1. Bailey SC, Opsasnick LA, Curtis LM, Federman AD, Benavente JY, O'Conor R, et al. Longitudinal investigation of older adults’ ability to self-manage complex drug regimens. J Am Geriatr Soc. 2020;68(3):569–575. doi: 10.1111/jgs.16255.
    1. Storm M, Siemsen IM, Laugaland K, Dyrstad DN, Aase K. Quality in transitional care of the elderly: key challenges and relevant improvement measures. Int J Integr Care. 2014;14:e013. doi: 10.5334/ijic.1194.
    1. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA. 2007;297(8):831–841. doi: 10.1001/jama.297.8.831.
    1. Bull MJ, Roberts J. Components of a proper hospital discharge for elders. J Adv Nurs. 2001;35(4):571–581. doi: 10.1046/j.1365-2648.2001.01873.x.
    1. Midlöv P, Bergkvist A, Bondesson Å, Eriksson T, Höglund P. Medication errors when transferring elderly patients between primary health care and hospital care. Pharm World Sci. 2005;27(2):116–120. doi: 10.1007/s11096-004-3705-y.
    1. Meyer-Massetti C, Hofstetter V, Hedinger-Grogg B, Meier CR, Guglielmo BJ. Medication-related problems during transfer from hospital to home care: baseline data from Switzerland. Int J Clin Pharm. 2018;40(6):1614–1620. doi: 10.1007/s11096-018-0728-3.
    1. Gonçalves-Bradley DC, Lannin NA, Clemson LM, Cameron ID, Shepperd S. Discharge planning from hospital. Cochrane Database Syst Rev. 2016;1:345.
    1. Sansoni JE, Grootemaat P, Duncan C. Question prompt lists in health consultations: a review. Patient Educ Couns. 2015;98(12):1454–1464. doi: 10.1016/j.pec.2015.05.015.
    1. Gerwing J, Indseth T, Gulbrandsen P. A microanalysis of the clarity of information in physicians’ and patients’ discussions of treatment plans with and without language barriers. Patient Educ Couns. 2016;99(4):522–529. doi: 10.1016/j.pec.2015.10.012.
    1. Jensen BF, Gulbrandsen P, Dahl FA, Krupat E, Frankel RM, Finset A. Effectiveness of a short course in clinical communication skills for hospital doctors: results of a crossover randomized controlled trial (ISRCTN22153332) Patient Educ Couns. 2011;84(2):163–169. doi: 10.1016/j.pec.2010.08.028.
    1. Shepperd S, Lannin NA, Clemson LM, McCluskey A, Cameron ID, Barras SL. Discharge planning from hospital to home. Cochrane Database Syst Rev. 2013;1:1.
    1. Braddock CH, III, Edwards KA, Hasenberg NM, Laidley TL, Levinson W. Informed decision making in outpatient practice: time to get back to basics. JAMA. 1999;282(24):2313–2320. doi: 10.1001/jama.282.24.2313.
    1. Ofstad EH, Frich JC, Schei E, Frankel RM, Benth JŠ, Gulbrandsen P. Clinical decisions presented to patients in hospital encounters: a cross-sectional study using a novel taxonomy. BMJ Open. 2018;8(1):e018042. doi: 10.1136/bmjopen-2017-018042.
    1. Ofstad EH, Frich JC, Schei E, Frankel RM, Gulbrandsen P. What is a medical decision? A taxonomy based on physician statements in hospital encounters: a qualitative study. BMJ Open. 2016;6(2):e010098. doi: 10.1136/bmjopen-2015-010098.
    1. Hajjar ER, Hanlon JT, Sloane RJ, Lindblad CI, Pieper CF, Ruby CM, et al. Unnecessary drug use in frail older people at hospital discharge. J Am Geriatr Soc. 2005;53(9):1518–1523. doi: 10.1111/j.1532-5415.2005.53523.x.
    1. Tarn DM, Heritage J, Paterniti DA, Hays RD, Kravitz RL, Wenger NS. Physician communication when prescribing new medications. Arch Intern Med. 2006;166(17):1855–1862. doi: 10.1001/archinte.166.17.1855.
    1. Calkins DR, Davis RB, Reiley P, Phillips RS, Pineo KL, Delbanco TL, et al. Patient-physician communication at hospital discharge and patients’ understanding of the postdischarge treatment plan. Arch Intern Med. 1997;157(9):1026–1030. doi: 10.1001/archinte.1997.00440300148014.
    1. Wilson IB, Schoen C, Neuman P, Strollo MK, Rogers WH, Chang H, et al. Physician–patient communication about prescription medication nonadherence: a 50-state study of America’s seniors. J Gen Intern Med. 2007;22(1):6–12. doi: 10.1007/s11606-006-0093-0.
    1. Makaryus AN, Friedman EA. Patients’ understanding of their treatment plans and diagnosis at discharge. Mayo Clin Proc. 2005;80(8):991–994. doi: 10.4065/80.8.991.
    1. Takane AK, Balignasay M-D, Nigg CR. Polypharmacy reviews among elderly populations project: assessing needs in patient-provider communication. Hawai’i J Med Public Health. 2013;72(1):15.
    1. Hastings SN, Barrett A, Weinberger M, Oddone EZ, Ragsdale L, Hocker M, et al. Older patients’ understanding of emergency department discharge information and its relationship with adverse outcomes. J Patient Safety. 2011;7(1):19–25. doi: 10.1097/PTS.0b013e31820c7678.
    1. Siddiqui TG, Cheng S, Gossop M, Kristoffersen ES, Grambaite R, Lundqvist C. Association between prescribed central nervous system depressant drugs, comorbidity and cognition among hospitalised older patients: a cross-sectional study. BMJ Open. 2020;10(7):e038432.
    1. Han JH, Bryce SN, Ely EW, Kripalani S, Morandi A, Shintani A, et al. The effect of cognitive impairment on the accuracy of the presenting complaint and discharge instruction comprehension in older emergency department patients. Ann Emerg Med. 2011;57(6):662–671. doi: 10.1016/j.annemergmed.2010.12.002.
    1. Taler V, Phillips NA. Language performance in Alzheimer’s disease and mild cognitive impairment: a comparative review. J Clin Exp Neuropsychol. 2008;30(5):501–556. doi: 10.1080/13803390701550128.
    1. Douzenis A, Michopoulos I, Gournellis R, Christodoulou C, Kalkavoura C, Michalopoulou PG, et al. Cognitive decline and dementia in elderly medical inpatients remain underestimated and underdiagnosed in a recently established university general hospital in Greece. Arch Gerontol Geriatr. 2010;50(2):147–150. doi: 10.1016/j.archger.2009.03.001.
    1. Elsey C, Drew P, Jones D, Blackburn D, Wakefield S, Harkness K, et al. Towards diagnostic conversational profiles of patients presenting with dementia or functional memory disorders to memory clinics. Patient Educ Couns. 2015;98(9):1071–1077. doi: 10.1016/j.pec.2015.05.021.
    1. Aramaki E, Shikata S, Miyabe M, Kinoshita A. Vocabulary size in speech may be an early indicator of cognitive impairment. PLoS One. 2016;11:5. doi: 10.1371/journal.pone.0155195.
    1. Dixon RA, Garrett DD, Lentz TL, MacDonald SW, Strauss E, Hultsch DF. Neurocognitive markers of cognitive impairment: exploring the roles of speed and inconsistency. Neuropsychology. 2007;21(3):381. doi: 10.1037/0894-4105.21.3.381.
    1. American Psychiatric Association . DSM-IV: diagnostic and statistic manual of mental disorders. 1994.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders (DSM-5®) Arlington: American Psychiatric Pub; 2013.
    1. World Health Organization. ICD-10: international statistical classification of diseases and related health problems: tenth revision, 2nd ed. Geneva: World Health Organization; 2004.
    1. Strobel C, Engedal K. MMSE-NR. Norsk revidert mini mental status Evaluering. Revidert og utvidet manual. Tønsberg: Nasjonalt kompetansesenter for aldring og helse; 2008.
    1. Salvi F, Miller MD, Grilli A, Giorgi R, Towers AL, Morichi V, et al. A manual of guidelines to score the modified cumulative illness rating scale and its validation in acute hospitalized elderly patients. J Am Geriatr Soc. 2008;56(10):1926–1931. doi: 10.1111/j.1532-5415.2008.01935.x.
    1. Engedal K, Snaedal J, Hoegh P, Jelic V, Bo Andersen B, Naik M, et al. Quantitative EEG applying the statistical recognition pattern method: a useful tool in dementia diagnostic workup. Dement Geriatr Cogn Disord. 2015;40(1–2):1–12. doi: 10.1159/000381016.
    1. Bavelas J, Gerwing J, Healing S, Tomori C. Microanalysis of face-to-face dialogue: an inductive approach. In: Van Lear CA, Canary DJ, editors. Researching communication interaction behavior: a sourcebook of methods and measures SAGE publications. 2016. pp. 129–157.
    1. Wittenburg P, Brugman H, Russel A, Klassmann A, Sloetjes H. In 5th international conference on language resources and evaluation (LREC 2006) 2006. ELAN: a professional framework for multimodality research; pp. 1556–1559.
    1. McCambridge J, Witton J, Elbourne DR. Systematic review of the Hawthorne effect: new concepts are needed to study research participation effects. J Clin Epidemiol. 2014;67(3):267–277. doi: 10.1016/j.jclinepi.2013.08.015.

Source: PubMed

3
Prenumerera