scholarly journals Administrative data is as good as medical chart review for comorbidity ascertainment in patients with infections in Singapore

2016 ◽  
Vol 144 (9) ◽  
pp. 1999-2005 ◽  
Author(s):  
J. HWANG ◽  
A. CHOW ◽  
D. C. LYE ◽  
C. S. WONG
Keyword(s):  
Infectious Disease ◽  
Hospital Mortality ◽  
Medical Record ◽  
Administrative Data ◽  
Illness Severity ◽  
Medical Record Review ◽  
Disease Research ◽  
Infectious Disease Research ◽  
Infection Source ◽  
Record Review

SUMMARYThe Charlson comorbidity index (CCI) is widely used for control of confounding from comorbidities in epidemiological studies. International Classification of Diseases (ICD)-coded diagnoses from administrative hospital databases is potentially an efficient way of deriving CCI. However, no studies have evaluated its validity in infectious disease research. We aim to compare CCI derived from administrative data and medical record review in predicting mortality in patients with infections. We conducted a cross-sectional study on 199 inpatients. Correlation analyses were used to compare comorbidity scores from ICD-coded administrative databases and medical record review. Multivariable regression models were constructed and compared for discriminatory power for 30-day in-hospital mortality. Overall agreement was fair [weighted kappa 0·33, 95% confidence interval (CI) 0·23–0·43]. Kappa coefficient ranged from 0·17 (95% CI 0·01–0·36) for myocardial infarction to 0·85 (95% CI 0·59–1·00) for connective tissue disease. Administrative data-derived CCI was predictive of CCI ⩾5 from medical record review, controlling for age, gender, resident status, ward class, clinical speciality, illness severity, and infection source (C = 0·773). Using the multivariable model comprising age, gender, resident status, ward class, clinical speciality, illness severity, and infection source to predict 30-day in-hospital mortality, administrative data-derived CCI (C = 0·729) provided a similar C statistic as medical record review (C = 0·717, P = 0·8548). In conclusion, administrative data-derived CCI can be used for assessing comorbidities and confounding control in infectious disease research.

Epidemiology of Kawasaki Disease in Canada 2004 to 2014: Comparison of Surveillance Using Administrative Data vs Periodic Medical Record Review

2018 ◽  
Vol 34 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Cedric Manlhiot ◽  
Sunita O'Shea ◽  
Bailey Bernknopf ◽  
Michael LaBelle ◽  
Nita Chahal ◽  
...  
Keyword(s):  
Kawasaki Disease ◽  
Medical Record ◽  
Administrative Data ◽  
Medical Record Review ◽  
Record Review

Validating an algorithm for multiple myeloma based on administrative data using a SEER tumor registry and medical record review

2019 ◽  
Vol 28 (2) ◽  
pp. 256-263 ◽  
Author(s):  
Nancy A. Brandenburg ◽  
Syd Phillips ◽  
Karen E. Wells ◽  
Kimberley J. Woodcroft ◽  
Kandace L. Amend ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Medical Record ◽  
Administrative Data ◽  
Medical Record Review ◽  
Tumor Registry ◽  
Record Review

scholarly journals Detection of Pelvic Inflammatory Disease: Development of an Automated Case-Finding Algorithm Using Administrative Data

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Catherine L. Satterwhite ◽  
Onchee Yu ◽  
Marsha A. Raebel ◽  
Stuart Berman ◽  
Penelope P. Howards ◽  
...  
Keyword(s):  
Pelvic Inflammatory Disease ◽  
Medical Record ◽  
Administrative Data ◽  
Inflammatory Disease ◽  
Regression Tree ◽  
Case Finding ◽  
Medical Record Review ◽  
Classification And Regression Tree ◽  
Case Identification ◽  
Record Review

ICD-9 codes are conventionally used to identify pelvic inflammatory disease (PID) from administrative data for surveillance purposes. This approach may include non-PID cases. To refine PID case identification among women with ICD-9 codes suggestive of PID, a case-finding algorithm was developed using additional variables. Potential PID cases were identified among women aged 15–44 years at Group Health (GH) and Kaiser Permanente Colorado (KPCO) and verified by medical record review. A classification and regression tree analysis was used to develop the algorithm at GH; validation occurred at KPCO. The positive predictive value (PPV) for using ICD-9 codes alone to identify clinical PID cases was 79%. The algorithm identified PID appropriate treatment and age 15–25 years as predictors. Algorithm sensitivity (GH=96.4%;KPCO=90.3%) and PPV (GH=86.9%;KPCO=84.5%) were high, but specificity was poor (GH=45.9%;KPCO=37.0%). In GH, the algorithm offered a practical alternative to medical record review to further improve PID case identification.

Feasibility of Remote Assessment of Human Prion Diseases for Research and Surveillance

2019 ◽  
Vol 47 (1-2) ◽  
pp. 79-90
Author(s):  
Brian S. Appleby ◽  
Kathleen Glisic ◽  
Daniel D. Rhoads ◽  
Alberto Bizzi ◽  
Mark L. Cohen ◽  
...  
Keyword(s):  
Medical Record ◽  
Prion Disease ◽  
Prion Diseases ◽  
Neuropsychiatric Symptoms ◽  
Medical Record Review ◽  
Rapid Progression ◽  
Geographic Dispersion ◽  
Disease Research ◽  
Remote Assessment ◽  
Record Review

Background: Prion disease research and surveillance can be challenging due to the disease’s difficulty to diagnose, rapid progression, and geographic dispersion. Improving accessibility through teleneurology could improve the ability to conduct these activities. Objectives: The aim of this study was to determine the feasibility of conducting teleneurology assessments for research and surveillance of prion diseases. Method: Participants were offered in-person visit, medical record review, or teleneurology assessment. Standardized histories and assessments evaluating cognition, functional ability, and neuropsychiatric symptoms were collected. Data regarding participants’ satisfaction with teleneurology were collected. Results: From April 2017 to July 2018, the study received 114 referrals. 45 and 5 participants consented for the teleneurology and medical record review arms of the study, respectively. 29 subjects participated in at least one teleneurology visit. Participants expressed satisfaction with teleneurology and found it easy to participate. Some aspects of the examination were hindered or interrupted due to technological reasons. Conclusions: We demonstrate the feasibility and preference of teleneurology as a modality in which subjects with prion disease can partake in clinical research. Technological aspects sometimes interfered with research assessments.

Comparison of the Use of Administrative Data and an Active System for Surveillance of Invasive Aspergillosis

2008 ◽  
Vol 29 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Douglas C. Chang ◽  
Lauren A. Burwell ◽  
G. Marshall Lyon ◽  
Peter G. Pappas ◽  
Tom M. Chiller ◽  
...  
Keyword(s):  
Invasive Aspergillosis ◽  
Quality Assessment ◽  
Medical Record ◽  
Administrative Data ◽  
Surveillance System ◽  
Medical Record Review ◽  
Solid Organ ◽  
Cell Transplant ◽  
Transplant Recipients ◽  
Record Review

Background.Administrative data, such as International Classification of Diseases, Ninth Revision (ICD-9) codes, are readily available and are an attractive option for surveillance and quality assessment within a single institution or for interinstitutional comparisons. To understand the usefulness of administrative data for the surveillance of invasive aspergillosis, we compared information obtained from a system based on ICD-9 codes with information obtained from an active, prospective surveillance system, which used more extensive case-finding methods (Transplant Associated Infection Surveillance Network).Methods.Patients with suspected inyasive aspergillosis were identified by aspergillosis-related ICD-9 codes assigned to hematopoietic stem cell transplant recipients and solid organ transplant recipients at a single hospital from April 1, 2001, through January 31, 2005. Suspected cases were classified as proven or probable invasive aspergillosis by medical record review using standard definitions. We calculated the sensitivity and positive predictive value (PPV) of identifying invasive aspergillosis by individual ICD-9 codes and by combinations of codes.Results.The sensitivity of code 117.3 was modest (63% [95% confidence interval {CI}, 38%-84%]), as was the PPV (71% [95% CI, 44%-90%]); the sensitivity of code 117.9 was poor (32% [95% CI, 13%-57%]), as was the PPV (15% [95% CI, 6%-31%]). The sensitivity of codes 117.3 and 117.9 combined was 84% (95% CI, 60%-97%); the PPV of the combined codes was 30% (95% CI, 18%-44%). Overall, ICD-9 codes triggered a review of medical records for 64 medical patients, only 16 (25%) of whom had proven or probable invasive aspergillosis.Conclusions.A surveillance system that involved multiple ICD-9 codes was sufficiently sensitive to identify most cases of invasive aspergillosis; however, the poor PPV of ICD-9 codes means that this approach is not adequate as the sole tool used to classify cases. Screening ICD-9 codes to trigger a medical record review might be a useful method of surveillance for invasive aspergillosis and quality assessment, although more investigation is needed.

scholarly journals Application of 3D bioprinting in the prevention and the therapy for human diseases

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Hee-Gyeong Yi ◽  
Hyeonji Kim ◽  
Junyoung Kwon ◽  
Yeong-Jin Choi ◽  
Jinah Jang ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Infectious Diseases ◽  
Rapid Development ◽  
In Vitro Models ◽  
Delivery Systems ◽  
Advanced Technology ◽  
3D Bioprinting ◽  
Disease Research ◽  
Infectious Disease Research

AbstractRapid development of vaccines and therapeutics is necessary to tackle the emergence of new pathogens and infectious diseases. To speed up the drug discovery process, the conventional development pipeline can be retooled by introducing advanced in vitro models as alternatives to conventional infectious disease models and by employing advanced technology for the production of medicine and cell/drug delivery systems. In this regard, layer-by-layer construction with a 3D bioprinting system or other technologies provides a beneficial method for developing highly biomimetic and reliable in vitro models for infectious disease research. In addition, the high flexibility and versatility of 3D bioprinting offer advantages in the effective production of vaccines, therapeutics, and relevant delivery systems. Herein, we discuss the potential of 3D bioprinting technologies for the control of infectious diseases. We also suggest that 3D bioprinting in infectious disease research and drug development could be a significant platform technology for the rapid and automated production of tissue/organ models and medicines in the near future.

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