Severe mental illness and health service utilisation for nonpsychiatric medical disorders: A systematic review and meta-analysis
Autoři:
Amy Ronaldson aff001; Lotte Elton aff001; Simone Jayakumar aff001; Anna Jieman aff001; Kristoffer Halvorsrud aff001; Kamaldeep Bhui aff001
Působiště autorů:
Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine, Queen Mary University of London, London, United Kingdom
aff001; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
aff002; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
aff003
Vyšlo v časopise:
Severe mental illness and health service utilisation for nonpsychiatric medical disorders: A systematic review and meta-analysis. PLoS Med 17(9): e32767. doi:10.1371/journal.pmed.1003284
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pmed.1003284
Souhrn
Background
Psychiatric comorbidity is known to impact upon use of nonpsychiatric health services. The aim of this systematic review and meta-analysis was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency, and primary care services for nonpsychiatric medical disorders.
Methods and findings
PubMed, Web of Science, PsychINFO, EMBASE, and The Cochrane Library were searched for relevant studies up to October 2018. An updated search was carried out up to the end of February 2020. Studies were included if they assessed the impact of SMI on nonpsychiatric inpatient, emergency, and primary care service use in adults. Study designs eligible for review included observational cohort and case-control studies and randomised controlled trials. Random-effects meta-analyses of the effect of SMI on inpatient admissions, length of hospital stay, 30-day hospital readmission rates, and emergency department use were performed. This review protocol is registered in PROSPERO (CRD42019119516). Seventy-four studies were eligible for review. All were observational cohort or case-control studies carried out in high-income countries. Sample sizes ranged from 27 to 10,777,210. Study quality was assessed using the Newcastle-Ottawa Scale for observational studies. The majority of studies (n = 45) were deemed to be of good quality. Narrative analysis showed that SMI led to increases in use of inpatient, emergency, and primary care services. Meta-analyses revealed that patients with SMI were more likely to be admitted as nonpsychiatric inpatients (pooled odds ratio [OR] = 1.84, 95% confidence interval [CI] 1.21–2.80, p = 0.005, I2 = 100%), had hospital stays that were increased by 0.59 days (pooled standardised mean difference = 0.59 days, 95% CI 0.36–0.83, p < 0.001, I2 = 100%), were more likely to be readmitted to hospital within 30 days (pooled OR = 1.37, 95% CI 1.28–1.47, p < 0.001, I2 = 83%), and were more likely to attend the emergency department (pooled OR = 1.97, 95% CI 1.41–2.76, p < 0.001, I2 = 99%) compared to patients without SMI. Study limitations include considerable heterogeneity across studies, meaning that results of meta-analyses should be interpreted with caution, and the fact that it was not always possible to determine whether service use outcomes definitively excluded mental health treatment.
Conclusions
In this study, we found that SMI impacts significantly upon the use of nonpsychiatric health services. Illustrating and quantifying this helps to build a case for and guide the delivery of system-wide integration of mental and physical health services.
Klíčová slova:
Bipolar disorder – Critical care and emergency medicine – diabetes mellitus – Diagnostic medicine – Hospitals – Inpatients – Psychoses – Schizophrenia
Zdroje
1. de Oliveira C, Cheng J, Vigod S, Rehm J, Kurdyak P. Patients With High Mental Health Costs Incur Over 30 Percent More Costs Than Other High-Cost Patients. Health Affairs. 2016;35: 36–43. doi: 10.1377/hlthaff.2015.0278 26733699
2. Hajek A, Bock J-O, König H-H. Association of general psychological factors with frequent attendance in primary care: a population-based cross-sectional observational study. BMC Fam Pract. 2017;18: 48. doi: 10.1186/s12875-017-0621-5 28340559
3. Murray CJ, Richards MA, Newton JN, Fenton KA, Anderson HR, Atkinson C, et al. UK health performance: findings of the Global Burden of Disease Study 2010. Lancet. 2013;381: 997–1020. doi: 10.1016/S0140-6736(13)60355-4 23668584
4. Wolff J, Heister T, Normann C, Kaier K. Hospital costs associated with psychiatric comorbidities: a retrospective study. BMC Health Serv Res. 2018;18: 67. doi: 10.1186/s12913-018-2892-5 29382387
5. Saravay SM, Lavin M. Psychiatric comorbidity and length of stay in the general hospital. A critical review of outcome studies. Psychosomatics. 1994;35: 233–252. doi: 10.1016/S0033-3182(94)71772-2 8036253
6. Koopmans GT, Donker MCH, Rutten FHH. Length of hospital stay and health services use of medical inpatients with comorbid noncognitive mental disorders: a review of the literature. Gen Hosp Psychiatry. 2005;27: 44–56. doi: 10.1016/j.genhosppsych.2004.09.008 15694218
7. Jansen L, van Schijndel M, van Waarde J, van Busschbach J. Health-economic outcomes in hospital patients with medical-psychiatric comorbidity: A systematic review and meta-analysis. PLoS ONE. 2018;13: e0194029. doi: 10.1371/journal.pone.0194029 29534097
8. Viron MJ, Stern TA. The impact of serious mental illness on health and healthcare. Psychosomatics. 2010;51: 458–465. doi: 10.1176/appi.psy.51.6.458 21051676
9. De Hert M, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, et al. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry. 2011;10: 52–77. doi: 10.1002/j.2051-5545.2011.tb00014.x 21379357
10. Lawrence D, Kisely S. Inequalities in healthcare provision for people with severe mental illness. J Psychopharmacol. 2010;24: 61–68. doi: 10.1177/1359786810382058 20923921
11. Olier I, Springate DA, Ashcroft DM, Doran T, Reeves D, Planner C, et al. Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink. PLoS ONE. 2016;11: e0146715. doi: 10.1371/journal.pone.0146715 26918439
12. Wells G, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses. 2012 [cited 2019 Sep 6]. Available from: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
13. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40: 373–383. doi: 10.1016/0021-9681(87)90171-8 3558716
14. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36: 8–27. doi: 10.1097/00005650-199801000-00004 9431328
15. Review Manager (RevMan) [computer program]. Copenhagen: The Nordic Cochrane Centre: The Cochrane Collaboration; 2014.
16. The Cochrane Collaboration. Cochrane Handbook for Systematic Reviews of Interventions. Report No.: Version 5.1.0. 2011 [cited 2019 Sep 9]. Available from: https://handbook-5-1.cochrane.org/
17. Bressi SK, Marcus SC, Solomon PL. The impact of psychiatric comorbidity on general hospital length of stay. Psychiat Quart. 2006;77: 203–209. doi: 10.1007/s11126-006-9007-x 16958003
18. Briskman I, Bar G, Boaz M, Shargorodsky M. Impact of co-morbid mental illness on the diagnosis and management of patients hospitalized for medical conditions in a general hospital. Int J Psychiatry Med. 2012;43: 339–348. doi: 10.2190/PM.43.4.d 23094466
19. Becker MA, Boaz TL, Andel R, Gum AM, Papadopoulos AS. Predictors of Preventable Nursing Home Hospitalizations: The Role of Mental Disorders and Dementia. Am J Geriatr Psychiatr. 2010;18: 475–482. doi: 10.1097/JGP.0b013e3181b2145a 21217558
20. Hsieh MH, Tang CH, Hsieh MH, Lee IH, Lai TJ, Lin YJ, et al. Medical costs and vasculometabolic comorbidities among patients with bipolar disorder in Taiwan—A population-based and matched-control study. J Affect Disorders. 2012;141: 449–456. doi: 10.1016/j.jad.2012.02.038 22460055
21. Basta MN, Fox JP, Kanchwala SK, Wu LC, Serletti JM, Kovach SJ, et al. Complicated breast cancer-related lymphedema: Evaluating health care resource utilization and associated costs of management. Am J Surgery. 2016;211: 133–141. doi: 10.1016/j.amjsurg.2015.06.015 26421413
22. Becker M, Boaz T, Andel R, DeMuth A. Predictors of Avoidable Hospitalizations Among Assisted Living Residents. J Am Med Dir Assoc. 2012;13: 355–359. doi: 10.1016/j.jamda.2011.02.001 21450253
23. Bresee LC, Majumdar SR, Patten SB, Johnson JA. Utilization of general and specialized cardiac care by people with schizophrenia. Psychiatr Serv. 2012;63: 237–242. doi: 10.1176/appi.ps.201000363 22307876
24. Chen P, Kales HC, Weintraub D, Blow FC, Jiang L, Ignacio RV, et al. Depression in veterans with Parkinson’s disease: Frequency, co-morbidity, and healthcare utilization. International Journal of Geriatric Psychiatry. 2007;22: 543–548. doi: 10.1002/gps.1712 17133656
25. Cramer S, Chapa G, Kotsos T, Jenich H. Assessing multiple hospitalizations for health-plan-managed Medicaid diabetic members. Journal for healthcare quality: official publication of the National Association for Healthcare Quality. 2010;32: 7–14.
26. Davydow DS, Ribe AR, Pedersen HS, Fenger-Gron M, Cerimele JM, Vedsted P, et al. Serious Mental Illness and Risk for Hospitalizations and Rehospitalizations for Ambulatory Care-sensitive Conditions in Denmark A Nationwide Population-based Cohort Study. Med Care. 2016;54: 90–97. doi: 10.1097/MLR.0000000000000448 26492210
27. Graham LA, Wagner TH, Richman JS, Morris MS, Copeland LA, Harris AH, et al. Exploring Trajectories of Health Care Utilization Before and After Surgery. J Am Coll Surg. 2019;228: 116–128. doi: 10.1016/j.jamcollsurg.2018.10.010 30359825
28. Hendrie HC, Tu W, Tabbey R, Purnell CE, Ambuehl RJ, Callahan CM. Health outcomes and cost of care among older adults with schizophrenia: A 10-year study using medical records across the continuum of care. American Journal of Geriatric Psychiatry. 2014;22: 427–436. doi: 10.1016/j.jagp.2012.10.025 23933423
29. Hunter G, Yoon J, Blonigen DM, Asch SM, Zulman DM. Health Care Utilization Patterns Among High-Cost VA Patients With Mental Health Conditions. Psychiatr Serv. 2015;66: 952–958. doi: 10.1176/appi.ps.201400286 25930040
30. Krein SL, Bingham CR, McCarthy JF, Mitchinson A, Payes J, Valenstein M. Diabetes treatment among VA patients with comorbid serious mental illness. Psychiatr Serv. 2006;57: 1016–1021. doi: 10.1176/ps.2006.57.7.1016 16816287
31. Kurdyak P, Vigod S, Duchen R, Jacob B, Stukel T, Kiran T. Diabetes quality of care and outcomes: Comparison of individuals with and without schizophrenia. Gen Hosp Psychiatry. 2017;46: 7–13. doi: 10.1016/j.genhosppsych.2017.02.001 28622820
32. Lafeuille MH, Dean J, Fastenau J, Panish J, Olson W, Markowitz M, et al. Burden of schizophrenia on selected comorbidity costs. Expert Review of Pharmacoeconomics and Outcomes Research. 2014;14: 259–267. doi: 10.1586/14737167.2014.894463 24593801
33. Moore DT, Rosenheck RA. Medical-Surgical Hospitalization Among Veterans With Psychiatric and Substance Use Disorders. Psychosomatics. 2019;60: 591–598. doi: 10.1016/j.psym.2019.04.005 31470980
34. Norbeck S, Schuster H, Driscoll D, Ramaswamy S. An examination of physical illness and health service use in homeless veterans with PTSD, major depressive disorder, anxiety disorder, and/or bipolar disorder in Nebraska. J Soc Distress Homel. 2019;0: 1–8. doi: 10.1080/10530789.2019.1684067
35. Lemke KW, Weiner JP, Clark JM. Development and validation of a model for predicting inpatient hospitalization. Med Care. 2012;50: 131–139. doi: 10.1097/MLR.0b013e3182353ceb 22002640
36. Li Y, Glance LG, Cai X, Mukamel DB. Mental illness and hospitalization for ambulatory care sensitive medical conditions. Med Care. 2008;46: 1249–1256. doi: 10.1097/MLR.0b013e31817e188c 19300315
37. Lin H-C, Huang C-C, Chen S-F, Chen Y-H. Increased risk of avoidable hospitalization among patients with schizophrenia. Can J Psychiatry. 2011;56: 171–178. doi: 10.1177/070674371105600307 21443824
38. Mai Q, Holman CD, Sanfilippo FM, Emery JD. The impact of mental illness on potentially preventable hospitalisations: a population-based cohort study. BMC Psychiatry. 2011;11: 163. doi: 10.1186/1471-244X-11-163 21985082
39. Minen MT, Tanev K. Influence of psychiatric comorbidities in migraineurs in the emergency department. General Hospital Psychiatry. 2014;36: 533–538. doi: 10.1016/j.genhosppsych.2014.05.004 24950915
40. Sayers SL, Hanrahan N, Kutney A, Clarke SP, Reis BF, Riegel B. Psychiatric comorbidity and greater hospitalization risk, longer length of stay, and higher hospitalization costs in older adults with heart failure. J Am Geriatr Soc. 2007;55: 1585–91. doi: 10.1111/j.1532-5415.2007.01368.x 17714458
41. Schoepf D, Uppal H, Potluri R, Heun R. Physical comorbidity and its relevance on mortality in schizophrenia: A naturalistic 12-year follow-up in general hospital admissions. Eur Arch Psychiatry Clin Neurosci. 2014;264: 3–28. doi: 10.1007/s00406-013-0436-x 23942824
42. Sporinova B, Manns B, Tonelli M, Hemmelgarn B, MacMaster F, Mitchell N, et al. Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease. JAMA Netw Open. 2019;2: e199910. doi: 10.1001/jamanetworkopen.2019.9910 31441939
43. Sullivan G, Han X, Moore S, Kotrla K. Disparities in hospitalization for diabetes among persons with and without co-occurring mental disorders. Psychiatr Serv. 2006;57: 1126–31. doi: 10.1176/ps.2006.57.8.1126 16870963
44. Wallace A, Barron J, York W, Isenberg K, Franchino-Elder J, Sidovar M, et al. Health Care Resource Utilization and Cost Before Initial Schizophrenia Diagnosis. J Manag Care Pharm. 2019;25: 1102–1110.
45. Wetmore JB, Li S, Yan H, Irfan M, Rashid N, Peng Y, et al. Increases in institutionalization, healthcare resource utilization, and mortality risk associated with Parkinson disease psychosis: Retrospective cohort study. Parkinsonism Relat Disord. 2019;68: 95–101. doi: 10.1016/j.parkreldis.2019.10.018 31679990
46. Attar R, Valentin JB, Freeman P, Andell P, Aagaard J, Jensen SE. The effect of schizophrenia on major adverse cardiac events, length of hospital stay, and prevalence of somatic comorbidities following acute coronary syndrome. Eur Heart J Qual Care Clin Outcomes. 2019;5: 121–126. doi: 10.1093/ehjqcco/qcy055 30496375
47. Bailey EA, Wirtalla C, Sharoky CE, Kelz RR. Disparities in operative outcomes in patients with comorbid mental illness. Surgery. 2018;163: 667–671. doi: 10.1016/j.surg.2017.09.029 29241988
48. Banta JE, Andersen RM, Young AS, Kominski G, Cunningham WE. Psychiatric Comorbidity and Mortality Among Veterans Hospitalized for Congestive Heart Failure. Milit Med. 2010;175: 732–741. doi: 10.7205/milmed-d-10-00002 20968262
49. Beydoun MA, Beydoun HA, Gamaldo AA, Rostant OS, Dore GA, Zonderman AB, et al. Nationwide Inpatient Prevalence, Predictors, and Outcomes of Alzheimer’s Disease among Older Adults in the United States, 2002–2012. J Alzheimers Dis. 2015;48: 361–375. doi: 10.3233/JAD-150228 26402000
50. Carter P, Reynolds J, Carter A, Potluri S, Uppal H, Chandran S, et al. The impact of psychiatric comorbidities on the length of hospital stay in patients with heart failure. Int J Cardiol. 2016;207: 292–296. doi: 10.1016/j.ijcard.2016.01.132 26814630
51. Chen PH, Kao YW, Shia BC, Lin HC, Kang JH. Adverse stroke outcomes among patients with bipolar disorder. PLoS ONE. 2019;14: e0213072. doi: 10.1371/journal.pone.0213072 30830937
52. Cholankeril G, Hu M, Tanner E, Cholankeril R, Reha J, Somasundar P. Skilled nursing facility placement in hospitalized elderly patients with colon cancer. Eur J Surg Oncol. 2016;42: 1660–1666. doi: 10.1016/j.ejso.2016.06.005 27387271
53. Dolp R, Rehou S, McCann MR, Jeschke MG. Contributors to the length-of-stay trajectory in burn-injured patients. Burns. 2018;44: 2011–2017. doi: 10.1016/j.burns.2018.07.004 30104050
54. Falsgraf E, Inaba K, De Roulet A, Johnson M, Benjamin E, Lam L, et al. Outcomes after traumatic injury in patients with preexisting psychiatric illness. J Trauma Acute Care. 2017;83: 882–887. doi: 10.1097/TA.0000000000001588 28538629
55. Kaplan GG, Hubbard J, Panaccione R, Shaheen AAM, Quan H, Nguyen GC, et al. Risk of comorbidities on postoperative outcomes in patients with inflammatory bowel disease. Arch Surg. 2011;146: 959–964. doi: 10.1001/archsurg.2011.194 21844437
56. Gholson JJ, Bedard NA, Dowdle SB, Brown TS, Gao YB, Callaghan JJ. Total Joint Arthroplasty in Patients With Schizophrenia: How Much Does It Increase the Risk of Complications? J Arthroplast. 2018;33: 2082–2086. doi: 10.1016/j.arth.2018.01.074 29526332
57. Maeda T, Babazono A, Nishi T, Tamaki K. Influence of psychiatric disorders on surgical outcomes and care resource use in Japan. Gen Hosp Psychiatry. 2014;36: 523–527. doi: 10.1016/j.genhosppsych.2014.05.014 24973124
58. Menendez ME, Neuhaus V, Bot AGJ, Vrahas MS, Ring D. Do psychiatric comorbidities influence inpatient death, adverse events, and discharge after lower extremity fractures? Clin Orthop Relat R. 2013;471: 3336–3348. doi: 10.1007/s11999-013-3138-9 23813242
59. Protty MB, Lacey A, Smith D, Hannoodee S, Freeman P. Increased morbidity, mortality and length of in-hospital stay for patients with acute coronary syndrome with pre-morbid psychiatric diagnoses. Int J Cardiol. 2017;236: 5–8. doi: 10.1016/j.ijcard.2017.01.067 28111056
60. Sams JD, Francis ML, Scaife SL, Robinson BS, Novicoff WM, Saleh KJ. Redefining Revision Total Hip Arthroplasty Based on Hospital Admission Status. J Arthroplasty. 2012;27: 758–763. doi: 10.1016/j.arth.2011.09.007 22019324
61. Siddiqui N, Dwyer M, Stankovich J, Peterson G, Greenfield D, Si L, et al. Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions. BMC Health Serv Res. 2018;18: 498. doi: 10.1186/s12913-018-3316-2 29945622
62. Tarrier N, Gregg L, Edwards J, Dunn K. The influence of pre-existing psychiatric illness on recovery in burn injury patients: The impact of psychosis and depression. Burns. 2005;31: 45–49. doi: 10.1016/j.burns.2004.06.010 15639364
63. Uldall KK, Koutsky LA, Bradshaw DH, Krone M. Use of hospital services by AIDS patients with psychiatric illness. Gen Hosp Psych. 1998;20: 292–301. doi: 10.1016/s0163-8343(98)00041-3
64. Vakharia RM, Sabeh KG, Sodhi N, Mont MA, Roche MW, Hernandez VH. A Nationwide Analysis on the Impact of Schizophrenia Following Primary Total Knee Arthroplasty: A Matched-Control Analysis of 49,176 Medicare Patients. J Arthroplasty. 2020;35: 417–421. doi: 10.1016/j.arth.2019.09.034 31711803
65. Willers C, Lekander I, Sunnerhagen KS, Von Euler M. Pre-stroke psychosis and its association with levels of health, resource utilization and care process after ischemic stroke: A register-based study. Eur Stroke J. 2018;3: 329–330. doi: 10.1177/2396987318770127
66. Ahmedani BK, Solberg LI, Copeland LA, Fang-Hollingsworth Y, Stewart C, Hu J, et al. Psychiatric comorbidity and 30-day readmissions after hospitalization for heart failure, AMI, and pneumonia. Psychiatric Services. 2015;66: 134–140. doi: 10.1176/appi.ps.201300518 25642610
67. Ali AM, Loeffler MD, Aylin P, Bottle A. Factors associated with 30-day readmission after primary total hip arthroplasty analysis of 514 455 procedures in the UK National Health Service. JAMA Surgery. 2017;152. doi: 10.1001/jamasurg.2017.3949 28979994
68. Ali AM, Loeffler MD, Aylin P, Bottle A. Predictors of 30-Day Readmission After Total Knee Arthroplasty: Analysis of 566,323 Procedures in the United Kingdom. J Arthroplasty. 2019;34: 242–248.e1. doi: 10.1016/j.arth.2018.10.026 30477965
69. Chwastiak LA, Davydow DS, McKibbin CL, Schur E, Burley M, McDonell MG, et al. The Effect of Serious Mental Illness on the Risk of Rehospitalization Among Patients With Diabetes. Psychosomatics. 2014;55: 134–143. doi: 10.1016/j.psym.2013.08.012 24367898
70. Clark BJ, Keniston A, Douglas IS, Beresford T, Macht M, Williams A, et al. Healthcare utilization in medical intensive care unit survivors with alcohol withdrawal. Alcohol Clin Exp Res. 2013;37: 1536–1543. doi: 10.1111/acer.12124 23647435
71. Dailey EA, Cizik A, Kasten J, Chapman JR, Lee MJ. Risk factors for readmission of orthopaedic surgical patients. J Bone Joint Surg. 2013;95: 1012–1019. doi: 10.2106/JBJS.K.01569 23780539
72. Daratha KB, Barbosa-Leiker C, M HB, Short R, Layton ME, McPherson S, et al. Co-occurring mood disorders among hospitalized patients and risk for subsequent medical hospitalization. Gen Hosp Psychiatry. 2012;34: 500–505. doi: 10.1016/j.genhosppsych.2012.05.001 22703606
73. Feller DJ, Akiyama MJ, Gordon P, Agins BD. Readmissions in HIV-infected inpatients: A large cohort analysis. J Acq Immun Def Synd. 2016;71: 407–412. doi: 10.1097/QAI.0000000000000876 26505329
74. Fleming MM, Liu F, Luo J, Zhang Y, Pei KY. Predictors of 30 d readmission following percutaneous cholecystostomy. J Surg Res. 2019;233: 1–7. doi: 10.1016/j.jss.2018.07.006 30502233
75. Jørgensen M, Mainz J, Egstrup K, Johnsen SP. Quality of Care and Outcomes of Heart Failure Among Patients With Schizophrenia in Denmark. Am J Cardiol. 2017;120: 980–985. doi: 10.1016/j.amjcard.2017.06.027 28774428
76. Kheir MM, Kheir YNP, Tan TL, Ackerman CT, Rondon AJ, Chen AF. Increased Complications for Schizophrenia and Bipolar Disorder Patients Undergoing Total Joint Arthroplasty. J Arthroplasty. 2018;33: 1462–1466. doi: 10.1016/j.arth.2017.12.006 29310919
77. Lau CSM, Siracuse BL, Chamberlain RS. Readmission after COPD exacerbation scale: Determining 30-day readmission risk for COPD patients. Int J Chron Obstruct Pulmon Dis. 2017;12: 1891–1902. doi: 10.2147/COPD.S136768 28721034
78. Lu MLR, De Venecia TA, Goyal A, Rodriguez Ziccardi M, Kanjanahattakij N, Shah MK, et al. Psychiatric conditions as predictors of rehospitalization among African American patients hospitalized with heart failure. Clin Cardiol. 2017;40: 1020–1025. doi: 10.1002/clc.22760 28750156
79. Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying Increased Risk of Readmission and In-hospital Mortality Using Hospital Administrative Data: The AHRQ Elixhauser Comorbidity Index. Medical Care. 2017;55: 698–705. doi: 10.1097/MLR.0000000000000735 28498196
80. Paxton EW, Inacio MCS, Singh JA, Love R, Bini SA, Namba RS. Are There Modifiable Risk Factors for Hospital Readmission After Total Hip Arthroplasty in a US Healthcare System? Clin Orthop Rel Res. 2015;473: 3446–3455. doi: 10.1007/s11999-015-4278-x 25845947
81. Prabhakaran K, Gogna S, Pee S, Samson DJ, Con J, Latifi R. Falling Again? Falls in Geriatric Adults—Risk Factors and Outcomes Associated With Recidivism. J Surg Res. 2020;247: 66–76. doi: 10.1016/j.jss.2019.10.041 31767279
82. Shah R, Haydek C, Mulki R, Qayed E. Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: A nationwide analysis. Pancreatology. 2018;18: 386–393. doi: 10.1016/j.pan.2018.04.006 29703552
83. Singh G, Zhang W, Kuo YF, Sharma G. Association of Psychological Disorders With 30-Day Readmission Rates in Patients With COPD. Chest. 2016;149: 905–15. doi: 10.1378/chest.15-0449 26204260
84. Pugh MJ, Zeber JE, Copeland LA, Tabares JV, Cramer JA. Psychiatric disease burden profiles among veterans with epilepsy: the association with health services utilization. Psychiatr Serv. 2008;59: 925–8. doi: 10.1176/ps.2008.59.8.925 18678692
85. Shim RS, Druss BG, Zhang S, Kim G, Oderinde A, Shoyinka S, et al. Emergency department utilization among Medicaid beneficiaries with schizophrenia and diabetes: The consequences of increasing medical complexity. Schizophr Res. 2014;152: 490–497. doi: 10.1016/j.schres.2013.12.002 24380780
86. Weilburg JB, Wong HJ, Sistrom CL, Benzer TI, Taylor JB, Rockett H, et al. Behavioral Health Factors as Predictors of Emergency Department Use in the High-Risk, High-Cost Medicare Population. Psychiatr Serv. 2018;69: 1230–1237. doi: 10.1176/appi.ps.201800083 30256183
87. Copeland LA, Zeber JE, Wang CP, Parchman ML, Lawrence VA, Valenstein M, et al. Patterns of primary care and mortality among patients with schizophrenia or diabetes: A cluster analysis approach to the retrospective study of healthcare utilization. BMC Health Serv Res. 2009;9. doi: 10.1186/1472-6963-9-127 19630997
88. Kontopantelis E, Olier I, Planner C, Reeves D, Ashcroft DM, Gask L, et al. Primary care consultation rates among people with and without severe mental illness: a UK cohort study using the Clinical Practice Research Datalink. BMJ Open. 2015;5: 10. doi: 10.1136/bmjopen-2015-008650 26674496
89. Lichstein JC, Domino ME, Beadles CA, Ellis AR, Farley JF, Morrissey JP, et al. Use of medical homes by patients with comorbid physical and severe mental illness. Medical Care. 2014;52: S85–S91. doi: 10.1097/MLR.0000000000000025 24561764
90. Nørgaard HCB, Schou Pedersen H, Fenger-Grøn M, Vestergaard M, Nordentoft M, Laursen TM, et al. Schizophrenia and attendance in primary healthcare: a population-based matched cohort study. Scand J Prim Health Care. 2019;37: 358–365. doi: 10.1080/02813432.2019.1639927 31299863
91. Anderson GF, Reinhardt UE, Hussey PS, Petrosyan V. It’s The Prices, Stupid: Why The United States Is So Different From Other Countries. Health Affairs. 2003;22: 89–105. doi: 10.1377/hlthaff.22.3.89 12757275
92. Parks J, Svendsen D, Singer P, Foti ME. Morbidity and mortality in people with serious mental illness. Virginia, US: National Association of State Mental Health Program Directors (NASMHPD) Medical Directors Council; 2006 [cited 2019 Nov 19]. Available from: http://northernlakescmh.com/wp-content/uploads/2010/03/686.pdf
93. Peckham E, Brabyn S, Cook L, Tew G, Gilbody S. Smoking cessation in severe mental ill health: what works? an updated systematic review and meta-analysis. BMC Psychiatry. 2017;17. doi: 10.1186/s12888-017-1419-7 28705244
94. Galletly CA, Foley DL, Waterreus A, Watts GF, Castle DJ, McGrath JJ, et al. Cardiometabolic risk factors in people with psychotic disorders: the second Australian national survey of psychosis. Aust N Z J Psychiatry. 2012;46: 753–761. doi: 10.1177/0004867412453089 22761397
95. Temmingh HS, Williams T, Siegfried N, Stein DJ. Risperidone versus other antipsychotics for people with severe mental illness and co‐occurring substance misuse. Cochrane Database Syst Rev. 2018;2018. doi: 10.1002/14651858.CD011057.pub2 29355909
96. Berger M, Kraeuter AK, Romanik D, Malouf P, Amminger GP, Sarnyai Z. Cortisol awakening response in patients with psychosis: Systematic review and meta-analysis. Neurosci Biobehav Rev. 2016;68: 157–166. doi: 10.1016/j.neubiorev.2016.05.027 27229759
97. Girshkin L, Matheson SL, Shepherd AM, Green MJ. Morning cortisol levels in schizophrenia and bipolar disorder: A meta-analysis. Psychoneuroendocrinology. 2014;49: 187–206. doi: 10.1016/j.psyneuen.2014.07.013 25108162
98. Miller BJ, Buckley P, Seabolt W, Mellor A, Kirkpatrick B. Meta-analysis of cytokine alterations in schizophrenia: clinical status and antipsychotic effects. Biol Psychiatry. 2011;70: 663–671. doi: 10.1016/j.biopsych.2011.04.013 21641581
99. Potvin S, Stip E, Sepehry AA, Gendron A, Bah R, Kouassi E. Inflammatory cytokine alterations in schizophrenia: a systematic quantitative review. Biol Psychiatry. 2008;63: 801–808. doi: 10.1016/j.biopsych.2007.09.024 18005941
100. Suvisaari J, Mantere O. Inflammation theories in psychotic disorders: a critical review. Infect Disord Drug Targets. 2013;13: 59–70. doi: 10.2174/18715265112129990032 23713669
101. Bradshaw T, Mairs H. Obesity and Serious Mental Ill Health: A Critical Review of the Literature. Healthcare. 2014;2: 166–182. doi: 10.3390/healthcare2020166 27429268
102. Michelsen JW, Meyer JM. Cardiovascular effects of antipsychotics. Exp Rev Neurother. 2007;7: 829–839. doi: 10.1586/14737175.7.7.829 17610390
103. Howard LM, Barley EA, Davies E, Rigg A, Lempp H, Rose D, et al. Cancer diagnosis in people with severe mental illness: practical and ethical issues. Lancet Oncol. 2010;11: 797–804. doi: 10.1016/S1470-2045(10)70085-1 20599423
104. Trivedi JK. Cognitive deficits in psychiatric disorders: Current status. Indian J Psychiatry. 2006;48: 10–20. doi: 10.4103/0019-5545.31613 20703409
105. De Hert M, Cohen D, Bobes J, Cetkovich-Bakmas M, Leucht S, Ndetei DM, et al. Physical illness in patients with severe mental disorders. II. Barriers to care, monitoring and treatment guidelines, plus recommendations at the system and individual level. World Psychiatry. 2011;10: 138–151. doi: 10.1002/j.2051-5545.2011.tb00036.x 21633691
106. Nash M. Diagnostic overshadowing: a potential barrier to physical health care for mental health service users. Ment Health Prac. 2013;17: 22–26.
107. Hudson CG. Socioeconomic Status and Mental Illness: Tests of the Social Causation and Selection Hypotheses. Am J Orthopsychiatry. 2005;75: 3–18. doi: 10.1037/0002-9432.75.1.3 15709846
108. Lo CK-L, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. 2014;14: 45. doi: 10.1186/1471-2288-14-45 24690082
109. Lang S, Kleijnen J. Quality assessment tools for observational studies: lack of consensus. International Journal of Evidence-Based Healthcare. 2010;8: 247. doi: 10.1111/j.1744-1609.2010.00195.x 21091888
110. Finley CR, Chan DS, Garrison S, Korownyk C, Kolber MR, Campbell S, et al. What are the most common conditions in primary care? Can Fam Physician. 2018;64: 832–840. 30429181
111. Bhalla IP, Rosenheck RA. A Change in Perspective: From Dual Diagnosis to Multimorbidity. Psychiatr Serv. 2017;69: 112–116. doi: 10.1176/appi.ps.201700194 29032702
112. NHS England. The Five Year Forward View for Mental Health. 2016 [cited 2019 Jun 9]. Available from: https://www.england.nhs.uk/wp-content/uploads/2016/02/Mental-Health-Taskforce-FYFV-final.pdf
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