Development of quality indicators for care of chronic kidney disease in the primary care setting using electronic health data: a RAND-modified Delphi method

Shingo Fukuma, Sayaka Shimizu, Kakuya Niihata, Kenei Sada, Motoko Yanagita, Tsuguru Hatta, Masaomi Nangaku, Ritsuko Katafuchi, Yoshiro Fujita, Junji Koizumi, Shunzo Koizumi, Kenjiro Kimura, Shunichi Fukuhara, Yugo Shibagaki

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background: The prevalence of chronic kidney disease (CKD) has recently increased, and maintaining high quality of CKD care is a major factor in preventing end-stage renal disease. Here, we developed novel quality indicators for CKD care based on existing electronic health data. Methods: We used a modified RAND appropriateness method to develop quality indicators for the care of non-dialysis CKD patients, by combining expert opinion and scientific evidence. A multidisciplinary expert panel comprising six nephrologists, two primary care physicians, one diabetes specialist, and one rheumatologist assessed the appropriateness of potential indicators extracted from evidence-based clinical guidelines, in accordance with predetermined criteria. We developed novel quality indicators through a four-step process: selection of potential indicators, first questionnaire round, face-to-face meeting, and second questionnaire round. Results: Ten expert panel members evaluated 19 potential indicators in the first questionnaire round, of which 7 were modified, 12 deleted, and 4 newly added during subsequent face-to-face meetings, giving a final total of 11 indicators. Median rate of these 11 indicators in the final set was at least 7, and percentages of agreement exceeded 80 % for all but one indicator. All indicators in the final set can be measured using only existing electronic health data, without medical record review, and 9 of 11 are process indicators. Conclusion: We developed 11 quality indicators to assess quality of care for non-dialysis CKD patients. Strengths of the developed indicators are their applicability in a primary care setting, availability in daily practice, and emphasis on modifiable processes.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalClinical and Experimental Nephrology
DOIs
Publication statusAccepted/In press - May 4 2016

Fingerprint

Quality of Health Care
Chronic Renal Insufficiency
Primary Health Care
Health
Expert Testimony
Primary Care Physicians
Chronic Kidney Failure
Medical Records
Guidelines
Surveys and Questionnaires

Keywords

  • Administrative claims data
  • Chronic kidney disease
  • Quality indicators
  • Quality of care
  • RAND

ASJC Scopus subject areas

  • Nephrology
  • Physiology
  • Physiology (medical)

Cite this

Development of quality indicators for care of chronic kidney disease in the primary care setting using electronic health data : a RAND-modified Delphi method. / Fukuma, Shingo; Shimizu, Sayaka; Niihata, Kakuya; Sada, Kenei; Yanagita, Motoko; Hatta, Tsuguru; Nangaku, Masaomi; Katafuchi, Ritsuko; Fujita, Yoshiro; Koizumi, Junji; Koizumi, Shunzo; Kimura, Kenjiro; Fukuhara, Shunichi; Shibagaki, Yugo.

In: Clinical and Experimental Nephrology, 04.05.2016, p. 1-10.

Research output: Contribution to journalArticle

Fukuma, S, Shimizu, S, Niihata, K, Sada, K, Yanagita, M, Hatta, T, Nangaku, M, Katafuchi, R, Fujita, Y, Koizumi, J, Koizumi, S, Kimura, K, Fukuhara, S & Shibagaki, Y 2016, 'Development of quality indicators for care of chronic kidney disease in the primary care setting using electronic health data: a RAND-modified Delphi method', Clinical and Experimental Nephrology, pp. 1-10. https://doi.org/10.1007/s10157-016-1274-8
Fukuma, Shingo ; Shimizu, Sayaka ; Niihata, Kakuya ; Sada, Kenei ; Yanagita, Motoko ; Hatta, Tsuguru ; Nangaku, Masaomi ; Katafuchi, Ritsuko ; Fujita, Yoshiro ; Koizumi, Junji ; Koizumi, Shunzo ; Kimura, Kenjiro ; Fukuhara, Shunichi ; Shibagaki, Yugo. / Development of quality indicators for care of chronic kidney disease in the primary care setting using electronic health data : a RAND-modified Delphi method. In: Clinical and Experimental Nephrology. 2016 ; pp. 1-10.
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AU - Sada, Kenei

AU - Yanagita, Motoko

AU - Hatta, Tsuguru

AU - Nangaku, Masaomi

AU - Katafuchi, Ritsuko

AU - Fujita, Yoshiro

AU - Koizumi, Junji

AU - Koizumi, Shunzo

AU - Kimura, Kenjiro

AU - Fukuhara, Shunichi

AU - Shibagaki, Yugo

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AB - Background: The prevalence of chronic kidney disease (CKD) has recently increased, and maintaining high quality of CKD care is a major factor in preventing end-stage renal disease. Here, we developed novel quality indicators for CKD care based on existing electronic health data. Methods: We used a modified RAND appropriateness method to develop quality indicators for the care of non-dialysis CKD patients, by combining expert opinion and scientific evidence. A multidisciplinary expert panel comprising six nephrologists, two primary care physicians, one diabetes specialist, and one rheumatologist assessed the appropriateness of potential indicators extracted from evidence-based clinical guidelines, in accordance with predetermined criteria. We developed novel quality indicators through a four-step process: selection of potential indicators, first questionnaire round, face-to-face meeting, and second questionnaire round. Results: Ten expert panel members evaluated 19 potential indicators in the first questionnaire round, of which 7 were modified, 12 deleted, and 4 newly added during subsequent face-to-face meetings, giving a final total of 11 indicators. Median rate of these 11 indicators in the final set was at least 7, and percentages of agreement exceeded 80 % for all but one indicator. All indicators in the final set can be measured using only existing electronic health data, without medical record review, and 9 of 11 are process indicators. Conclusion: We developed 11 quality indicators to assess quality of care for non-dialysis CKD patients. Strengths of the developed indicators are their applicability in a primary care setting, availability in daily practice, and emphasis on modifiable processes.

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