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Quality of the information contained in the minimum basic data set: Results from an evaluation in eight hospitals

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Abstract

To assess the quality of the information included in the minimum basic data set (MBDS) of the eight public hospitals of the Murcia region in order to ascertain what should be improved to be valid and reliable. An external encoder performed a recoding of a random sample of hospital discharges, using the patients hospital records and comparing afterwards the information obtained with the one reflected in the MBDS databases. Quality was assessed using 12 criteria. The reviewed discharges sample consisted at least of 96 cases per hospital (Type I error = 0.05, Type II=0.10, for the most unfavorable case). A total of 796 cases were reviewed. The MBDS disagreement percentages with the patient record data were higher for the clinical data, with 41.6% for the main diagnosis and 33.5% for the main surgical procedure, being in both cases higher in those hospitals that had used to codify just the discharge record with regard to those that did so with the complete patient record. The variation rate in the diagnosis-related group (DRG) assignment was of 29.6%, and there was a decrease in the case-mix index of 1.07397 when reviewing with the patient record to 1.05555 in the MBDS. Within the administrative data, the highest disagreement rate was for the physician that signs the discharge (60.5%) and the patient's address (31.6%). In many of these assessed aspects there are significant differences between hospitals. A reliability problem was identified in the collected data, which mainly affects the clinical variables. It is therefore advisable to carefully assess the use of this information (both the MBDS directly as well as its grouping through the use of patient classification systems), and the indicators derived from it as its quality is not guaranteed. Systematic assessment and quality control of the MBDS production is advised.

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References

  1. Roger FH. The minimum basic data set for hospitals statistics in Europe. In: Lambert PM, Roger FH (eds), Hospital Statistics in Europe. Brussels, Luxembourg: North Holland Publishing Company, 1982; 83–111.

    Google Scholar 

  2. Demlo LK, Campbell PM, Brown SS. Reliability of information abstracted from patients medical records. Med Care 1978; 16: 995–1008.

    Google Scholar 

  3. Green J, Wintfeld N. How accurate are hospital discharge data for evaluating effectiveness of care? Med Care 1993; 31(8): 719–731.

    Google Scholar 

  4. Ahicart C. Tecnicas de medición del Case-Mix hospitalario. Los procesos productivos en el hospital y la medición del producto hospitalario. Hospital 2000 1988d; Suppl.: 4–22.

    Google Scholar 

  5. Ahicart C. Técnicas de medición del Case-Mix hospitalario II. Hospital Diagnosis Groups y Grupos Relacionados con el Diagnóstico. Hospital 2000 1988a; Suppl.: 3–22.

    Google Scholar 

  6. Ahicart C. Técnicas de medición del Case-Mix hospitalario III: As-score, Patient Severity of Illness, Apache, Staging Disease, Patient Management Categories. Hospital 2000 1988; Suppl.: 3–22.

    Google Scholar 

  7. Corns RF. The sensitivity of prospective hospital reimbursement to errors in patient data. Inquiry 1981; 18: 351–360.

    Google Scholar 

  8. Hsia DC, Krushat WM, Fagan AB, Tebbut JA, Kusserow RP. Accuracy of diagnostic coding for medicare patients under the prospective-payment system. N Engl J Med 1988; 318(6): 352–355.

    Google Scholar 

  9. Hsia DC, Ahern CA, Ritchie BP, Moscoe LM, Krushat WM. Medicare reimbursement accuracy under the prospective payment-system, 1985 to 1988. JAMA 1992; 268(7): 896–899.

    Google Scholar 

  10. Doremus HD, Michenzi EM. Data quality: An illustration of its potential impact upon diagnosis-related groups case mix index and reimbursement. Med Care 1983; 21: 1001–1020.

    Google Scholar 

  11. Cohen E, Bernier D, Tam S. Data quality and DRGs: An assessment of the reliability of federal beneficiary discharge data in selected Manhattan hospitals. J Community Health 1985; 10: 238–244.

    Google Scholar 

  12. Holderman NF. DRG 48: An analysis of data quality. J AMRA 1988; 59: 30–33.

    Google Scholar 

  13. Iezzoni LL, Burnside S, Sickles L, Moskowitz MA, Sawitz E, Levine PA. Coding of acute myocardial infarction: Clinical and policy implications. Anal Intern Med 1988; 109(9): 745–751.

    Google Scholar 

  14. Lloyd SS, Rissing JP. Physician and coding errors in patient records. JAMA 1985; 254(10): 1330–1336.

    Google Scholar 

  15. Schraffenberger LA. Coding errors encountered in DRG study. J AMRA 1986; 57: 15–17.

    Google Scholar 

  16. Colin C, Ecochard R, Delahaye F, et al. Data quality in a DRG-based information systems. Int J Qual Health Care 1994; 6(3): 275–280.

    Google Scholar 

  17. Willians SE, Latessa P. Improving the quality of discharge data. Top Health Rec Manag 1982; 1: 241–244.

    Google Scholar 

  18. González CA, Agudo A, Costa J, Mir L, Romagosa J, Sicras A. Validez del diagnóstico principal de alta hospitalaria. Med Clin (Barc) 1987; 89: 269–271.

    Google Scholar 

  19. Martinez R, Garcia F. Estadísticas de morbilidad hospitalaria exactitud del diagnóstico notificado en el libro de registro de altas. Med Clin (Barc) 1991; 96: 765–768.

    Google Scholar 

  20. Bischofberger C, Otero A. Análisis de los principales errores que se producen en el informe de alta y en el libro de registro de un hospital. Med Clin (Barc) 1992; 98: 565–567.

    Google Scholar 

  21. Guilabert A, Pérez López JJ, Almela V, Companand V. Calidad de datos y grupos relacionados con el diagnóstico. Rev Calid Asist 1995; 5: 287–293.

    Google Scholar 

  22. Esteban A, Cerdá E, De la Cal MA, Lorente JA. Control de calidad del archivo de datos computerizado en una unidad de cuidados intensivos. Rev Calid Asist 1995; 1: 23–26.

    Google Scholar 

  23. Librero J, Ordiñana R, Peiró S. Análisis automatizado de la calidad del conjunto mínimo de datos básicos. Implicaciones para los sistemas de ajuste de riesgos. Gac Sanit 1998; 12: 9–21.

    Google Scholar 

  24. Renau J, Pérez-Salinas I. Evaluación de la calidad en la asignación de DRGs. Rev Calid Asist 1996; 11: 171–176.

    Google Scholar 

  25. Calle JE, Parra P, Saturno PJ, Aguinaga E, Beltrán R, Mas A. Como se produce el conjunto mínimo básico de datos en los hospitales? Análisis de los circuitos en ocho centros. Rev Calid Asist 1998; 13: 152–159.

    Google Scholar 

  26. Instrucciones para la cumplimentación del conjunto mínimo básico de datos (C.M.B.D.). Anexo VIII. Subdirección General de Atención Especializada. 1996.

  27. Rosner B. Fundamentals of Biostatistics. Belmont, CA: Duxburand Press, 1995.

    Google Scholar 

  28. Orden 6 septiembre 1984 (M° Sanidad and Consumo). SANIDAD. Obligatoriedad de elaboración del informe de alta para los pacientes atendidos en Establecimientos Sanitarios. B.O.E. 14 septiembre 1984 (Num. 221).

  29. Reid B. The impact of different coding systems on DRG assignment and data. Health Policy 1991; 17: 133–149.

    Google Scholar 

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Calle, J., Saturno, P., Parra, P. et al. Quality of the information contained in the minimum basic data set: Results from an evaluation in eight hospitals. Eur J Epidemiol 16, 1073–1080 (2000). https://doi.org/10.1023/A:1010931111115

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