Diseño y validación del Índice de Evaluación de Casos Complejos (IECC), un instrumento para identificar pacientes complejos
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https://doi.org/10.23938/ASSN.0946Gako-hitzak:
Enfermedad crónica, Comorbilidad, Complejidad del paciente, Psicometría, Reproducibilidad de los resultadosLaburpena
Fundamento. Desarrollar y validar un instrumento específico de identificación de pacientes complejos, el Índice de Evaluación de Casos Complejos (IECC).
Métodos. Estudio instrumental con dos fases: 1) Elaboración del instrumento: se definieron y operacionalizaron las variables extraídas de la literatura que, posteriormente, fueron sometidas al juicio de expertos. El IECC incluyó catorce variables divididas en dos dimensiones: complejidad del manejo clínico y complejidad del manejo comunitario. 2) Estudio psicométrico: evaluación de la fiabilidad por equivalencia entre observadores (r Pearson), de la validez de criterio respecto al sistema de clasificación Clinical Risk Groups (CRG) y de la validez de constructo a través de grupos conocidos y a través del estudio de conglomerados jerárquicos. Los análisis se realizaron con el paquete estadístico SPSS.v.17.
Resultados. La fiabilidad entre observadores para la subescala clínica fue r = 0,97, para la subescala comunitaria r = 0,74 y para la puntuación total r = 0,89. El 88,4% (n = 458) de los 518 casos identificados como complejos por el IECC fueron categorizados por el sistema CRG en las categorías de más complejidad clínica (niveles 6 a 9). Los resultados sustentan la validez de constructo de la escala. El análisis de conglomerados mostró dos clusters diferentes, aunque relacionados.
Conclusión. El IECC es un índice breve y de fácil aplicación, con una buena adecuación conceptual y evidencias de su fiabilidad y validez dirigido a la detección de pacientes con necesidades complejas.
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BLUMENTHAL D, CHERNOF B, FULMER T, LUMPKIN J, SELBERG J. Caring for high-need,high-cost patients-an urgent priority. N Engl J Med 2016; 375: 909-911.
MURTAGH FE, BAUSEWEIN C, VERNE J, GROENEVELD EI, KALOKI YE, HIGGINSON IJ. How many people need palliative care? A study developing and comparing methods for population-based estimates. Palliat Med 2014; 28: 49-58. https://doi.org/10.1177/0269216313489367
ZULMAN DM, GRANT RW. Transforming care for complex patients: addressing interconnected medical, social, and behavioral challenges. J Gen Intern Med 2016; 31: 263-264. https://doi.org/10.1007/s11606-015-3554-5
RONKSLEY PE, SANMARTIN C, QUAN H, RAVANI P, TONELLI M, MANNS B et al. Association between chronic conditions and perceived unmet health care needs. Open Med [revista electrónica] 2012; 6: e48-58.
MORALES‐ASENCIO JM, MARTIN‐SANTOS FJ, KAKNANI S, MORILLA‐HERRERA JC, CUEVAS FERNÁNDEZ‐GALLEGO M, GARCÍA‐MAYOR S et al. Living with chronicity and complexity: Lessons for redesigning case management from patients' life stories - A qualitative study. J Eval Clin Pract 2016; 22: 122-132. https://doi.org/10.1111/jep.12300
REED ME, HUANG J, BRAND RJ, NEUGEBAUER R, GRAETZ I, HSU J et al. Patients with complex chronic conditions: Health care use and clinical events associated with access to a patient portal. PLoS One 2019; 14: e0217636. https://doi.org/10.1371/journal.pone.0217636
GREMBOWSKI D, SCHAEFER J, JOHNSON KE, FISCHER H, MOORE SL, TAI-SEALE M et al. A conceptual model of the role of complexity in the care of patients with multiple chronic conditions. Med Care 2014; 52: S7-S14. http:// doi.org/10.1097/MLR.0000000000000045
GURTNER C, SPIRIG R, STAUDACHER D, HUBER E. Patient-related complexity in nursing care - Collective case studies in the acute care hospital. Pflege 2018; 31: 237-244. http://doi.org/10.1024/1012-5302/a000626
SORIL LJ, LEGGETT LE, LORENZETTI DL, NOSEWORTHY TW, CLEMENT FM. Reducing frequent visits to the emergency department: a systematic review of interventions. PLoS One 2015;10: e0123660. https://doi.org/10.1371/journal.pone.0123660
FREUND T, GONDAN M, ROCHON J, PETERS-KLIMM F, CAMPBELL S, WENSING M et al. Comparison of physician referral and insurance claims data-based risk prediction as approaches to identify patients for care management in primary care: an observational study. BMC Fam Pract 2013; 14: 157. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856595/pdf/1471-2296-14-157.pdf
WEISS KB. Managing complexity in chronic care: an overview of the VA state-of-the-art (SOTA) conference. J Gen Intern Med 2007; 22: 374-378. https://doi.org/10.1007/s11606-007-0379-x
MARCOUX V, CHOUINARD M, DIADIOU F, DUFOUR I, HUDON C. Screening tools to identify patients with complex health needs at risk of high use of health care services: A scoping review. PloS One 2017; 12: e0188663. https://doi.org/10.1371/journal.pone.0188663
STIEFEL FC, DE JONGE P, HUYSE FJ, GUEX P, SLAETS JP, LYONS JS et al. “INTERMED”: a method to assess health service needs: II. Results on its validity and clinical use. Gen Hosp Psychiatry 1999; 21: 49-56. https://doi.org/10.1016/S0163-8343(98)00061-9
HUYSE FJ, LYONS JS, STIEFEL FC, SLAETS JP, DE JONGE P, FINK P et al. “INTERMED”: a method to assess health service needs: I. Development and reliability. Gen Hosp Psychiatry 1999; 21: 39-48. https://doi.org/10.1016/S0163-8343(98)00057-7
BOEHLEN FH, JOOS A, BERGMANN F, STIEFEL F, EICHENLAUB J, FERRARI S et al. Evaluation of the German Version of the "INTERMED-Self-Assessment"-Questionnaire (IM-SA) to Assess Case Complexity. Psychother Psychosom Med Psychol 2016 May; 66: 180-186. https://doi.org/10.1055/s-0042-104281
WILD B, LECHNER S, HERZOG W, MAATOUK I, WESCHE D, RAUM E et al. Reliable integrative assessment of health care needs in elderly persons: the INTERMED for the Elderly (IM-E). J Psychosom Res 2011; 70: 169-178. https://doi.org/10.1016/j.jpsychores.2010.09.003
PETERS LL, BURGERHOF JG, BOTER H, WILD B, BUSKENS E, SLAETS JP. Predictive validity of a frailty measure (GFI) and a case complexity measure (IM-E-SA) on healthcare costs in an elderly population. J Psychosom Res 2015; 79: 404-411. https://doi.org/10.1016/j.jpsychores.2015.09.015
MEEK JA, LYON BL, MAY FE, LYNCH WD. Targeting High Utilisers. Dis-Manage-Health-Outcomes 2000; 8: 223-232. https://doi.org/10.2165/00115677-200008040-00005
GRAVES MT, SLATER MA, MARAVILLA V, REISSLER L, FACULJAK P, NEWCOMER RJ. Implementing an early intervention case management program in three medical groups. Case Manager 2003; 14: 48-52. https://doi.org/10.1016/S1061-9259(03)00212-1
BOULT C, KESSLER J, URDANGARIN C, BOULT L, YEDIDIA P. Identifying workers at risk for high health care expenditures: a short questionnaire. Disease Management 2004; 7: 124-135. https://doi.org/10.1089/1093507041253271
BOULT C, PUALWAN TF, FOX PD, PACALA JT. Identification and assessment of high-risk seniors. Am J Manag Care 1998; 4: 1137-1146.
SACKETT K, SMITH T, D'ANGELO L, POPE R, HENDRICKS C. The Medicare health risk assessment program. Case Manager 2001; 12: 52-55.
WAGNER JT, BACHMANN LM, BOULT C, HARARI D, VON RENTELN‐KRUSE W, EGGER M et al. Predicting the Risk of Hospital Admission in Older Persons—Validation of a Brief Self‐Administered Questionnaire in Three European Countries. J Am Geriatr Soc 2006; 54: 1271-1276. https://doi.org/10.1111/j.1532-5415.2006.00829.x
MOORE G, HEPWORTH G, WEILAND T, MANIAS E, GERDTZ MF, KELAHER M et al. Prospective validation of a predictive model that identifies homeless people at risk of re-presentation to the emergency department. Australas Emerge Nurs J 2012; 15: 2-13 https://doi.org/10.1016/j.aenj.2011.12.004
MION LC, PALMER RM, ANETZBERGER GJ, MELDON SW. Establishing a case‐finding and referral system for at‐risk older individuals in the emergency department setting: the SIGNET model. J Am Geriatr Soc 2001; 49: 1379-1386. https://doi.org/10.1046/j.1532-5415.2001.49270.x
DOÑATE-MARTÍNEZ A, FERRER JG, RIGLA FR. Application of screening tools to detect risk of hospital readmission in elderly patients in Valencian Healthcare System (VHS) (Spain). Arch Gerontol Geriatr 2014; 59: 408-414. https://doi.org/10.1016/j.archger.2014.06.004
CARRETERO-DIOS H, PÉREZ C. Normas para el desarrollo y revisión de estudios instrumentales: consideraciones sobre la selección de tests en la investigación psicológica. Int J Clin Health Psychol 2007; 7: 863-882.
HUGHES JS, AVERILL RF, EISENHANDLER J, GOLDFIELD NI, MULDOON J, NEFF JM et al. Clinical Risk Groups (CRGs): a classification system for risk-adjusted capitation-based payment and health care management. Med Care 2004; 42: 81-90. https://doi.org/ 10.1097/01.mlr.0000102367.93252.70
CRONBACH LJ. Fundamentos de los test psicológicos: Aplicaciones a las organizaciones, la educación y la clínica: Biblioteca Nueva, 1998.
MOKKINK LB, TERWEE CB, PATRICK DL, ALONSO J, STRATFORD PW, KNOL DL et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res 2010; 19: 539-549. https://doi.org/10.1007/s11136-010-9606-8
TERWEE CB, BOT SD, DE BOER MR, VAN DER WINDT, DANIËLLE AWM, KNOL DL, DEKKER J et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007; 60: 34-42. https://doi.org/10.1016/j.jclinepi.2006.03.012
ABRAHAMS N, GILSON L, LEVITT NS, DAVE JA. Factors that influence patient empowerment in inpatient chronic care: early thoughts on a diabetes care intervention in South Africa. BMC Endocr Disord 2019; 19: 1-11. https://doi.org/10.1186/s12902-019-0465-1
WATSON EK, BRETT J, HAY H, WITWICKI C, PERRIS A, POOTS AJ et al. Experiences and supportive care needs of UK patients with pancreatic cancer: a cross-sectional questionnaire survey. BMJ Open 2019; 9. https://doi.org/doi: 10.1136/bmjopen-2019-032681
MOLZAHN AE, NORTHCOTT HC. The social bases of discrepancies in health/illness perceptions. J Adv Nurs 1989; 14: 132-140. https://doi.org/10.1111/j.1365-2648.1989.tb00911.x
SOPINA E, CHENOWETH L, LUCKETT T, AGAR M, LUSCOMBE GM, DAVIDSON PM et al. Health-related quality of life in people with advanced dementia: a comparison of EQ-5D-5L and QUALID instruments. Qual Life Res 2019; 28: 121-129. https://doi.org/10.1007/s11136-018-1987-0
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