Comparison of Scottish Morbidity Record (SMR)01 data with clinician-based case note reviews in tetermining co-morbidities of patients with chronic kidney disease

Research output: Contribution to conferenceAbstract

Abstract

Background: Scotland is an international leader in using health information for health surveillance, planning and research. The Scottish Morbidity Record (SMR)01 has collected hospital discharge information for more than 40 years and is co-ordinated nationally by the Information Services Division. We aim to assess the validity of using SMR01 data to determine co-morbidities in patients with chronic kidney disease (CKD) by comparing
SMR01 data with clinician-based case note reviews (CNR).

Methods: A validation study nested in the Grampian Laboratory Outcomes Mortality and Morbidity Study-I (GLOMMS-I) cohort. GLOMMS-Iconsisted of 3426 individuals with CKD who had CNR. SMR01 data were linked to GLOMMS-I data using the patients’ Community Health Index number. To assess agreement between SMR01 and CNR data, we estimated prevalence based on SMR01 and CNR, sensitivity, specificity, positive and negative predictive values and the kappa statistic. We also performed sub-group analyses to quantify the limitations of recording for specific clinically relevant
groups
Original languageEnglish
Number of pages1
Publication statusPublished - Nov 2012
EventCommittee of the Faculty of Public Health in Scotland annual conference - Perthshire, Crieff, United Kingdom
Duration: 8 Nov 20129 Nov 2012

Conference

ConferenceCommittee of the Faculty of Public Health in Scotland annual conference
CountryUnited Kingdom
CityCrieff
Period8/11/129/11/12

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Chronic Renal Insufficiency
Morbidity
Health Planning
Information Services
Mortality
Validation Studies
Health
Scotland
Cohort Studies
Sensitivity and Specificity
Research

Cite this

Comparison of Scottish Morbidity Record (SMR)01 data with clinician-based case note reviews in tetermining co-morbidities of patients with chronic kidney disease. / Soo, Martin; Robertson, Lynn; Prescott, Gordon; Black, Corri.

2012. Abstract from Committee of the Faculty of Public Health in Scotland annual conference, Crieff, United Kingdom.

Research output: Contribution to conferenceAbstract

Soo, M, Robertson, L, Prescott, G & Black, C 2012, 'Comparison of Scottish Morbidity Record (SMR)01 data with clinician-based case note reviews in tetermining co-morbidities of patients with chronic kidney disease' Committee of the Faculty of Public Health in Scotland annual conference, Crieff, United Kingdom, 8/11/12 - 9/11/12, .
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title = "Comparison of Scottish Morbidity Record (SMR)01 data with clinician-based case note reviews in tetermining co-morbidities of patients with chronic kidney disease",
abstract = "Background: Scotland is an international leader in using health information for health surveillance, planning and research. The Scottish Morbidity Record (SMR)01 has collected hospital discharge information for more than 40 years and is co-ordinated nationally by the Information Services Division. We aim to assess the validity of using SMR01 data to determine co-morbidities in patients with chronic kidney disease (CKD) by comparingSMR01 data with clinician-based case note reviews (CNR).Methods: A validation study nested in the Grampian Laboratory Outcomes Mortality and Morbidity Study-I (GLOMMS-I) cohort. GLOMMS-Iconsisted of 3426 individuals with CKD who had CNR. SMR01 data were linked to GLOMMS-I data using the patients’ Community Health Index number. To assess agreement between SMR01 and CNR data, we estimated prevalence based on SMR01 and CNR, sensitivity, specificity, positive and negative predictive values and the kappa statistic. We also performed sub-group analyses to quantify the limitations of recording for specific clinically relevantgroups",
author = "Martin Soo and Lynn Robertson and Gordon Prescott and Corri Black",
year = "2012",
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language = "English",
note = "Committee of the Faculty of Public Health in Scotland annual conference ; Conference date: 08-11-2012 Through 09-11-2012",

}

TY - CONF

T1 - Comparison of Scottish Morbidity Record (SMR)01 data with clinician-based case note reviews in tetermining co-morbidities of patients with chronic kidney disease

AU - Soo, Martin

AU - Robertson, Lynn

AU - Prescott, Gordon

AU - Black, Corri

PY - 2012/11

Y1 - 2012/11

N2 - Background: Scotland is an international leader in using health information for health surveillance, planning and research. The Scottish Morbidity Record (SMR)01 has collected hospital discharge information for more than 40 years and is co-ordinated nationally by the Information Services Division. We aim to assess the validity of using SMR01 data to determine co-morbidities in patients with chronic kidney disease (CKD) by comparingSMR01 data with clinician-based case note reviews (CNR).Methods: A validation study nested in the Grampian Laboratory Outcomes Mortality and Morbidity Study-I (GLOMMS-I) cohort. GLOMMS-Iconsisted of 3426 individuals with CKD who had CNR. SMR01 data were linked to GLOMMS-I data using the patients’ Community Health Index number. To assess agreement between SMR01 and CNR data, we estimated prevalence based on SMR01 and CNR, sensitivity, specificity, positive and negative predictive values and the kappa statistic. We also performed sub-group analyses to quantify the limitations of recording for specific clinically relevantgroups

AB - Background: Scotland is an international leader in using health information for health surveillance, planning and research. The Scottish Morbidity Record (SMR)01 has collected hospital discharge information for more than 40 years and is co-ordinated nationally by the Information Services Division. We aim to assess the validity of using SMR01 data to determine co-morbidities in patients with chronic kidney disease (CKD) by comparingSMR01 data with clinician-based case note reviews (CNR).Methods: A validation study nested in the Grampian Laboratory Outcomes Mortality and Morbidity Study-I (GLOMMS-I) cohort. GLOMMS-Iconsisted of 3426 individuals with CKD who had CNR. SMR01 data were linked to GLOMMS-I data using the patients’ Community Health Index number. To assess agreement between SMR01 and CNR data, we estimated prevalence based on SMR01 and CNR, sensitivity, specificity, positive and negative predictive values and the kappa statistic. We also performed sub-group analyses to quantify the limitations of recording for specific clinically relevantgroups

M3 - Abstract

ER -