Validity of Myocardial Infarction Diagnoses in Administrative Databases: A Systematic Review

McCormick, Natalie; Lacaille, Diane; Bhole, Vidula; Aviña‐Zubieta, J Antonio

doi:10.1371/journal.pone.0092286

Cited by 208 publications

(213 citation statements)

References 64 publications

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“…In the LSS and AHS, different outcomes were observed, which are not easily compared. Additionally, some published studies showed the improved reliability of MI diagnosis at death with improved coding in the ICD-10 after 1995 (39) and the enhanced diagnostic tools, such as cardiac troponin tests (40)(41)(42)(43). In contrast, other studies revealed low validity of the MI diagnosis; sensitivity of diagnosis of IHD on death certificates was 86.5% (95% CI: 77.6, 92.3), specificity was 64.9% (58.4, 71.0), positive predictive value was 50.6% (42.7, 58.5) and negative predictive value was 92.0% (86.5, 95.5) when all cases were confirmed according to the criteria of the World Health Organization MONICA Project (Multinational MONItoring of trends and determinants in CArdiovascular disease) during the period of 1997-1998 (45,46).…”

Section: Discussionmentioning

confidence: 99%

Heart Disease Mortality in the Life Span Study, 1950–2008

et al. 2017

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Section: Discussionmentioning

confidence: 99%

Heart Disease Mortality in the Life Span Study, 1950–2008

et al. 2017

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“…Use of administrative claims data for surveillance can be affected by reporting or coding changes and has been found to sometimes overestimate cardiovascular event rates, especially deaths 46. However, the analysis of these data to assess cardiovascular event rate trends are recommended for national surveillance and, when combined across communities, appears valid given that the overestimation likely will not vary greatly at the macro level and over this short period 46, 47, 48…”

Section: Discussionmentioning

confidence: 99%

Million Hearts: Description of the National Surveillance and Modeling Methodology Used to Monitor the Number of Cardiovascular Events Prevented During 2012–2016

Ritchey

Loustalot

Wall

et al. 2017

JAHA

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BackgroundThis study describes the national surveillance and modeling methodology developed to monitor achievement of the Million Hearts initiative's aim of preventing 1 million acute myocardial infarctions, strokes, and other related cardiovascular events during 2012–2016.Methods and ResultsWe calculate sex‐ and age‐specific cardiovascular event rates (combination of emergency department, hospitalization, and death events) among US adults aged ≥18 from 2006 to 2011 and, based on log‐linear models fitted to the rates, calculate their annual percent change. We describe 2 baseline strategies to be used to compare observed versus expected event totals during 2012–2016: (1) stable baselines assume no rate changes, with modeled 2011 rates held constant through 2016; and (2) trend baselines assume 2006–2011 rate trends will continue, with the annual percent changes applied to the modeled 2011 rates to calculate expected 2012–2016 rates. Events prevented estimates during 2012–2013 were calculated using available data: 115 210 (95% CI, 60 858, 169 562) events were prevented using stable baselines and an excess of 43 934 (95% CI, −14 264, 102 132) events occurred using trend baselines. Women aged ≥75 had the most events prevented (stable, 76 242 [42 067, 110 417]; trend, 39 049 [1901, 76 197]). Men aged 45 to 64 had the greatest number of excess events (stable, 22 912 [95% CI, 855, 44 969]; trend, 38 810 [95% CI, 15 567, 62 053]).ConclusionsAround 115 000 events were prevented during the initiative's first 2 years compared with what would have occurred had 2011 rates remained stable. Recent flattening or reversals in some event rate trends were observed supporting intensifying national action to prevent cardiovascular events.

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“…Sensitivity and PPV were the most common validity measures, which is also consistent with other reviews of administrative health data quality. 35,36 There are a number of gaps in the current body of Canadian studies validating administrative health data. First, the majority of the studies examined databases from Alberta and Ontario.…”

Section: Discussionmentioning

confidence: 99%

“…43 Variations in findings across validation studies may be partly explained by differences in the reference standard. 36,44 Last, there is a dearth of studies that have validated methods for identifying individuals with mental health and acute health conditions using administrative health data. In some jurisdictions, multiple coding systems are used (i.e., ICD-9-CM, ICD-10-CA).…”

Section: Quality Of Administrative Databasesmentioning

confidence: 99%

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Quality of administrative health databases in Canada: A scoping review

Hinds

Lix

Smith

et al. 2016

Can J Public Health

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OBJECTIVE: Administrative health databases are increasingly used to conduct population-based health research and surveillance; this has resulted in a corresponding growth in studies about their quality. Our objective was to describe the characteristics of published Canadian studies about administrative health database quality.METHODS: PubMed, Scopus, and Google Advanced were searched, along with websites of relevant organizations. English-language studies that evaluated the quality of one or more Canadian administrative health databases between 2004 and 2014 were selected for inclusion. Extracted information included data quality concepts and measures, year and type of publication, type of database, and geographic origin.SYNTHESIS: More than 3,000 publications were identified from the search. Twelve reports and 144 peer-reviewed papers were included. The majority (53.5%) of peer-review publications used databases from Ontario and Alberta, while 67% of the non-peer-review publications used data from multiple provinces/ territories. Almost all peer-reviewed papers (97.2%) were validation studies. Hospital discharge abstracts and physician billing claims were the most frequently validated databases. Approximately half of the publications (53.0%) validated case definitions and 37.7% focused on a chronic physical health condition. CONCLUSION:Gaps in the Canadian administrative data quality literature include a limited number of studies evaluating data from the Maritimes and across multiple jurisdictions, newer data sources, validating methods for identifying individuals with mental illness, and assessing the completeness and serviceability of the data. Data quality studies can aid researchers to understand the strengths and limitations of the data. Administrative health databases were originally created for health care management and monitoring functions, such as remunerating physicians. Although these databases were not originally designed to be used for research and surveillance, they contain a rich source of information that is now routinely used for these purposes.5,6 Therefore a central question underlying studies that use administrative health databases is "Are the data of good quality for their intended use?" Given that administrative data are often used in epidemiological and public health research, it is important to conduct data quality studies so researchers are kept informed about the strengths and limitations of the data, and can then take steps to produce unbiased results by minimizing selection bias and measurement error. These efforts support good decision making about health and health care use. Data quality is a broad concept that is both relative and multidimensional.7 One comprehensive definition is "the totality of features and characteristics of a data set that bear on its ability to satisfy the needs that result from the intended use of the data". The latter concept refers to the ability to bring together data from different sources; for example, coherence can be achieved by using comm...

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Validity of Myocardial Infarction Diagnoses in Administrative Databases: A Systematic Review

Cited by 208 publications

References 64 publications

Heart Disease Mortality in the Life Span Study, 1950–2008

Heart Disease Mortality in the Life Span Study, 1950–2008

Million Hearts: Description of the National Surveillance and Modeling Methodology Used to Monitor the Number of Cardiovascular Events Prevented During 2012–2016

Quality of administrative health databases in Canada: A scoping review

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