Administrative codes combined with medical records based criteria accurately identified bacterial infections among rheumatoid arthritis patients

ObjectiveTo evaluate diagnostic properties of International Classification of Diseases, Version 9 (ICD-9) diagnosis codes and infection criteria to identify bacterial infections among rheumatoid arthritis (RA) patients.Study Design and SettingWe performed a cross-sectional study of RA patients with and without ICD-9 codes for bacterial infections. Sixteen bacterial infection criteria were developed. Diagnostic properties of comprehensive and restrictive sets of ICD-9 codes and the infection criteria were tested against an adjudicated review of medical records.ResultsRecords on 162 RA patients with and 50 without purported bacterial infections were reviewed. Positive and negative predictive values of ICD-9 codes ranged from 54%–85% and 84%–100%, respectively. Positive predictive values of the medical records based criteria were 84% and 89% for “definite” and “definite or empirically treated” infections, respectively. Positive predictive value of infection criteria increased by 50% as disease prevalence increased using ICD-9 codes to enhance infection likelihood.ConclusionICD-9 codes alone may misclassify bacterial infections in hospitalized RA patients. Misclassification varies with the specificity of the codes used and strength of evidence required to confirm infections. Combining ICD-9 codes with infection criteria identified infections with greatest accuracy. Novel infection criteria may limit the requirement to review medical records.     

Validation of febrile seizures identified in the Sentinel Post-Licensure Rapid Immunization Safety Monitoring Program

BackgroundThe Sentinel Initiative was established in 2008 to monitor the safety of FDA-regulated medical products. We evaluated the positive predictive value (PPV) of ICD-9 codes for post-vaccination febrile seizures to identify optimal algorithms for use in post-market safety surveillance.MethodsWe identified ICD-9 diagnosis codes for fever and seizures in the emergency department or inpatient setting after vaccinations of interest from July 1, 2010 to June 30, 2011. Medical record review was conducted to verify febrile seizure events.ResultsOf 216 potential febrile seizures identified with one or more seizure codes (the broadest algorithm), 152 were chart-confirmed (i.e., documentation of fever within 24 h of seizure or clinician diagnosis of febrile seizure; PPV 70%, 95% CI 64, 76%). Two codes specific for febrile seizures produced the highest PPV (PPV 91%, 95% CI 85, 95%) and accounted for 140 confirmed febrile seizures. In the absence of febrile seizure codes, other seizure codes yielded much lower PPVs, regardless of the presence of fever codes.ConclusionsOur results indicate that ICD-9 diagnosis codes in the inpatient and emergency department settings have high predictive value for identifying febrile seizures within the Sentinel Distributed Database. While the PPV of the algorithm based on any diagnosis code for seizure is moderate, the algorithm limited to febrile seizure codes has a high PPV (>90%) and captures the vast majority of confirmed cases identified by the broadest algorithm, suggesting that the narrower algorithm limited to febrile seizure codes may be preferred.     

Validation study in four health-care databases: upper gastrointestinal bleeding misclassification affects precision but not magnitude of drug-related upper gastrointestinal bleeding risk

ObjectiveTo evaluate the accuracy of disease codes and free text in identifying upper gastrointestinal bleeding (UGIB) from electronic health-care records (EHRs).Study Design and SettingWe conducted a validation study in four European electronic health-care record (EHR) databases such as Integrated Primary Care Information (IPCI), Health Search/CSD Patient Database (HSD), ARS, and Aarhus, in which we identified UGIB cases using free text or disease codes: (1) International Classification of Disease (ICD)-9 (HSD, ARS); (2) ICD-10 (Aarhus); and (3) International Classification of Primary Care (ICPC) (IPCI). From each database, we randomly selected and manually reviewed 200 cases to calculate positive predictive values (PPVs). We employed different case definitions to assess the effect of outcome misclassification on estimation of risk of drug-related UGIB.ResultsPPV was 22% [95% confidence interval (CI): 16, 28] and 21% (95% CI: 16, 28) in IPCI for free text and ICPC codes, respectively. PPV was 91% (95% CI: 86, 95) for ICD-9 codes and 47% (95% CI: 35, 59) for free text in HSD. PPV for ICD-9 codes in ARS was 72% (95% CI: 65, 78) and 77% (95% CI: 69, 83) for ICD-10 codes (Aarhus). More specific definitions did not have significant impact on risk estimation of drug-related UGIB, except for wider CIs.ConclusionsICD-9-CM and ICD-10 disease codes have good PPV in identifying UGIB from EHR; less granular terminology (ICPC) may require additional strategies. Use of more specific UGIB definitions affects precision, but not magnitude, of risk estimates.     

ICD-10 adaptation of 15 Agency for Healthcare Research and Quality patient safety indicators

BackgroundIn the United States, the Agency for Healthcare Research and Quality (AHRQ) has developed 20 Patient Safety Indicators (PSIs) to measure the occurrence of hospital adverse events from medico-administrative data coded according to the ninth revision of the international classification of disease (ICD-9-CM). The adaptation of these PSIs to the WHO version of ICD-10 was carried out by an international consortium.MethodsTwo independent teams transcoded ICD-9-CM diagnosis codes proposed by the AHRQ into ICD-10-WHO. Using a Delphi process, experts from six countries evaluated each code independently, stating whether it was “included”, “excluded” or “uncertain”. During a two-day meeting, the experts then discussed the codes that had not obtained a consensus, and the additional codes proposed.ResultsFifteen PSIs were adapted. Among the 2569 proposed diagnosis codes, 1775 were unanimously adopted straightaway. The 794 remaining codes and 2541 additional codes were discussed. Three documents were prepared: (1) a list of ICD-10-WHO codes for the 15 adapted PSIs; (2) recommendations to the AHRQ for the improvement of the nosological frame and the coding of PSI with ICD-9-CM; (3) recommendations to the WHO to improve ICD-10.ConclusionsThis work allows international comparisons of PSIs among the countries using ICD-10. Nevertheless, these PSIs must still be evaluated further before being broadly used.     

Public Health Data in Action: An Analysis of Using Louisiana Vital Statistics for Quality Improvement and Payment Reform

Introduction In 2012, the Louisiana (LA) Department of Health and Hospitals revised the LA birth certificate to include medical reasons for births before 39 completed weeks’ gestation. We compared the completeness and validity of these data with hospital discharge records. Methods For births occurring 4/1/2012–9/30/2012 at Woman’s Hospital of Baton Rouge, we linked maternal delivery and newborn birth data collected through the National Perinatal Information Center with LA birth certificates. Among early term births (37–38 completed weeks’ gestation), we quantified the reasons for early delivery listed on the birth certificate and compared them with ICD-9-CM codes from Woman’s discharge data. Results Among 4353 birth certificates indicating delivery at Woman’s Hospital, we matched 99.8% to corresponding Woman’s administrative data. Among 1293 early term singleton births, the most common reasons for early delivery listed on the birth certificate were spontaneous active labor (57.5%), gestational hypertensive disorders (15.3%), gestational diabetes (8.7%), and premature rupture of membranes (8.1%). Only 2.7% of births indicated “other reason” as the only reason for early delivery. Most reasons for early delivery had >80% correspondence with ICD-9-CM codes. Lower correspondence (35 and 72%, respectively) was observed for premature rupture of membranes and abnormal heart rate or fetal distress. Discussion There was near-perfect ability to match LA birth certificates with Woman’s Hospital records, and the agreement between reasons for early delivery on the birth certificate and ICD-9-CM codes was high. A benchmark of 2.7% can be used as an attainable frequency of “other reason” for early delivery reported by hospitals. Louisiana implemented an effective mechanism to identify and explain early deliveries using vital records.     

Use of combined search criteria improved validity of rare disease (craniopharyngioma) diagnosis in a national registry

Objective

To evaluate sensitivity and validity of the Danish National Patient Registry (NPR) including relevant International Classification of Diseases, Eighth Revision (ICD-8) and International Classification of Diseases, Tenth Revision (ICD-10) codes and explore potential benefits of combining diagnosis and department codes in composite search strategies.

Study Design and Setting

The study period was 1985-2004. Medical records of patients identified with one or more of seven ICD-8 or ICD-10 codes from a number of registries were reviewed to confirm or reject the craniopharyngioma diagnosis. NPR sensitivity was evaluated in North Jutland County through comparison with hospital registries, the county registry, and the Danish Cancer Registry. Codes and search strategies were studied using NPR data from Denmark (population 5.2 million).

Results

In the North Jutland County study, the NPR identified 95% of new patients with histologically verified or probable craniopharyngioma. In the code and search strategy studies, the NPR search identified 684 patients. Records were retrieved in 607 (89%), of whom 185 (30%) had verified or probable craniopharyngioma. Searches combining “best code” and “highly specialized department” or “neurosurgery procedure” registrations improved validity considerably, whereas reducing sensitivity only modestly.

Conclusion

The NPR identified 95% of new craniopharyngioma patients, but only 30% of cases were correct. Validity was improved by applying a modified composite search strategy.     

Positive predictive value of primary inpatient discharge diagnoses of infection among cancer patients in the Danish National Registry of Patients

PurposePharmacovigilance studies of cancer treatment frequently monitor infections. Predictive values of algorithms identifying disease depend on prevalence of the disease in the population under study. We therefore estimated the positive predictive value (PPV) of primary inpatient diagnosis of infection among cancer patients in the Danish National Registry of Patients (DNRP).MethodsThe algorithm to identify infections in the DNPR was based on International Classification of Diseases, 10th revision (ICD-10) codes. A physician blinded to the type of sampled infection reviewed the medical charts and assessed the presence and type of infection. Using the physician global assessment as gold standard, we computed PPVs with and without requiring agreement on infection type.ResultsWe retrieved 266 of 272 medical charts (98%). Presence of infection was confirmed in 261 patients, resulting in an overall PPV of 98% (95% confidence interval, 96%–99%). When requiring agreement on infection type, overall PPV was 77%. For skin infections, pneumonia, and sepsis, PPVs were 79%, 93% and 84%, respectively. For these infections, we additionally calculated PPVs using evidence-based criteria as the gold standard. PPV was similar for pneumonia, but lower for skin infections and sepsis.ConclusionsThe Danish National Registry of Patients is suitable for monitoring infections requiring hospitalization among cancer patients.     

Validity of Using ICD-9-CM Codes to Identify Selected Categories of Obstetric Complications, Procedures and Co-morbidities

Background: The ability to measure and track changes in risk-adjusted obstetric complication rates using administrative data underpins efforts to improve obstetric quality of care, but the validity of this approach has not been adequately evaluated. We sought to assess the validity of using composites of ICD-9-CM codes to identify selected categories obstetric complications and risk factors associated with complications. Methods: Patients with ICD-9-CM codes for obstetric trauma/laceration, infection, haemorrhage, episiotomy or obesity discharged between January 2009 and March 2010 were identified in the study hospital's administrative data. One hundred medical records with ICD-9-CM codes of interest were randomly selected for review from each of the five categories. An additional 60 medical records without the ICD-9-CM codes of interest served as controls for each category. Sensitivity and specificity for the selected categories was estimated using inverse proportional weighting to adjust for sampling based on presence of one of the ICD-9-CM codes of interest. Results: Weighted sensitivities ranged from 0.15 [95% CI 0.11, 0.20] for obesity to 1.00 for overall infection while specificities ranged from 0.994 [95% CI 0.987, 0.998] for obesity to 0.999 [95% CI 0.996, 1.000] for episiotomy. Obese patients were not reliably identified and it was not possible ascertain whether some diagnoses were present on admission. Conclusions: For selected categories of obstetric complication diagnoses, use of composite sets of ICD-9-CM codes may be a valid method to identify patients within these complication categories.     

ICD-10 hospital discharge diagnosis codes were sensitive for identifying pulmonary embolism but not deep vein thrombosis

ObjectiveTo estimate the sensitivity of International Classification of Diseases, Tenth revision (ICD-10) hospital discharge diagnosis codes for identifying deep vein thrombosis (DVT) and pulmonary embolism (PE).Study Design and SettingWe compared predefined ICD-10 discharge diagnosis codes with the diagnoses that were prospectively recorded for 1,375 patients with suspected DVT or PE who were enrolled at 25 hospitals in France. Sensitivity was calculated as the percentage of patients identified by predefined ICD-10 codes among positive cases of acute symptomatic DVT or PE confirmed by objective testing.ResultsThe sensitivity of ICD-10 codes was 58.0% (159 of 274; 95% CI: 51.9, 64.1) for isolated DVT and 88.9% (297 of 334; 95% CI: 85.6, 92.2) for PE. Depending on the hospital, the median values for sensitivity were 57.7% for DVT (interquartile range, IQR, 48.6–66.7; intracluster correlation coefficient, 0.02; P = 0.31) and 88.9% for PE (IQR, 83.3–96.3; intracluster correlation coefficient, 0.11; P = 0.03). The sensitivity of ICD-10 codes was lower for surgical patients and for patients who developed PE or DVT while they were hospitalized.ConclusionICD-10 discharge diagnosis codes yield satisfactory sensitivity for identifying objectively confirmed PE. A substantial proportion of DVT cases are missed when using hospital discharge data for complication screening or research purposes.     

Tdap vaccination during pregnancy and risk of chorioamnionitis and related infant outcomes

IntroductionAn increased risk of chorioamnionitis in people receiving tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccine during pregnancy has been reported. The importance of this association is unclear as additional study has not demonstrated increased adverse infant outcomes associated with Tdap vaccination in pregnancy.MethodsWe conducted a retrospective observational cohort study of pregnant people ages 15–49 years with singleton pregnancies ending in live birth who were members of 8 Vaccine Safety Datalink (VSD) sites during October 2016–September 2018. We used a time-dependent covariate Cox model with stabilized inverse probability weights applied to evaluate associations between Tdap vaccination during pregnancy and chorioamnionitis and preterm birth outcomes. We used Poisson regression with robust variance with stabilized inverse probability weights applied to evaluate the association of Tdap vaccination with adverse infant outcomes. We performed medical record reviews on a random sample of patients with ICD-10-CM-diagnosed chorioamnionitis to determine positive predictive values (PPV) of coded chorioamnionitisfor “probable clinical chorioamnionitis,” “possible clinical chorioamnionitis,” or “histologic chorioamnionitis.”ResultsWe included 118,211 pregnant people; 103,258 (87%) received Tdap vaccine during pregnancy; 8098 (7%) were diagnosed with chorioamnionitis. The adjusted hazard ratio for chorioamnionitis in the Tdap vaccine-exposed group compared to unexposed was 0.96 (95% CI 0.90–1.03). There was no association between Tdap vaccine and preterm birth or adverse infant outcomes associated with chorioamnionitis. Chart reviews were performed for 528 pregnant people with chorioamnionitis. The PPV for clinical (probable or possible clinical chorioamnionitis) was 48% and 59% for histologic chorioamnionitis. The PPV for the combined outcome of clinical or histologic chorioamnionitis was 81%.Conclusions and relevanceTdap vaccine exposure during pregnancy was not associated with chorioamnionitis, preterm birth, or adverse infant outcomes. ICD-10 codes for chorioamnionitis lack specificity for clinical chorioamnionitis and should be a recognized limitation when interpreting results.     

Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease

PurposeTo evaluate the value of ICD-9-CM code for identifying celiac disease (CD).MethodsWe searched administrative data to identify all adults with ICD-9-CM diagnosis code 579.0 (CD) at three teaching hospitals between 2000 and 2010. We then stratified patients according to the presence/absence of relevant serology and endoscopy codes into four groups: None, serology, endoscopy, and both. A diagnostic algorithm was applied to define CD status.ResultsThrough random sampling and appropriate weighting, the 1200 reviewed patients represented a cohort of 8,122 cases. The overall positive predictive value (PPV) of the ICD-9-CM code was 15% (95% confidence interval [CI], 13%–17%). Case identification by a diagnosis code alone had a PPV of 4%, whereas the group with diagnosis code plus both serology and endoscopy testing had a PPV of 49%. Independent predictors of CD were non-Hispanic white, ICD-9-CM–coded patient group, total number of a diagnosis code, and receiving a diagnosis code by a gastroenterologist. The model had an area under the curve of 0.87 (95% CI, 0.84–0.89).ConclusionsThe performance of ICD-9-CM 579.0 alone for identifying CD is extremely poor. Adding other readily available administrative data significantly improves CD case identification. The proposed case finding strategy via administrative databases may facilitate future research on CD.     

Hip Fracture as a Predictive Marker for the Risk of Dementia: A Population-Based Cohort Study

ObjectivesThis study aimed to investigate the association between hip fracture and the risk of dementia.DesignA retrospective real-world propensity score–matched cohort study was conducted using the real-world hip fracture cohort (RHFC).Setting and ParticipantsElectronic health record data from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong were used. A total of 52,848 patients aged ≥65 years and with at least an event of fall from 2006 to 2015 were included in the RHFC.MethodsThe incidence of fall, hip fracture, and dementia was determined using their International Classification of Diseases, Ninth Revision (ICD-9) codes. Competing risk regression models were used to estimate hazard ratios (HRs) and 95% CIs.ResultsHip fracture was associated with an increased risk of dementia (HR 1.09, 95% CI 1.04-1.15, P < .001). The subgroup analysis showed that association was significant in women but not in men.Conclusions and ImplicationsHip fracture was associated with the increased risk of dementia among older adults. Further studies investigating the potential roles of hip fracture in the development of dementia could benefit the management of both conditions in older adults.     

Effectiveness of pneumococcal Haemophilus influenzae protein D conjugate vaccine against pneumonia in children: A cluster-randomised trial

BackgroundPneumococcal conjugate vaccines have potential to prevent significant proportion of childhood pneumonia. Finnish Invasive Pneumococcal disease vaccine trial was designed to assess the vaccine effectiveness (VE) of the 10-valent pneumococcal Haemophilus influenzae protein D conjugate vaccine (PHiD-CV10) against several outcomes. We now report results for pneumonia.MethodsIn this nationwide, cluster-randomised, double-blind trial, children younger than 19 months received PHiD-CV10 in 52 clusters or hepatitis vaccines as control in 26 clusters. Infants younger than 7 months at the first vaccination received either 3+1 or 2+1 vaccination schedule, children aged 7–11 months received 2+1, and those 12–18 months of age two-dose schedule. All hospitalizations and outpatient visits to hospital associated with ICD-10 codes compatible with pneumonia were identified through the National Care Register and 1–3 frontal chest X-ray images per event were collected. External readers who were unaware of the patients’ vaccination status retrospectively interpreted the images. The evaluated outcomes were hospital-diagnosed, hospital-treated pneumonia as primary diagnosis, and radiologically confirmed pneumonia during the blinded, intention-to-treat follow-up period from the first vaccination to the end of 2011. Total VE was calculated as 1 minus rate ratio of all pneumonia episodes.Results47 366 children were enrolled from February 2009, to October 2010. VE against all episodes of hospital-diagnosed pneumonia was 27% (95% confidence interval [CI]: 14%, 38%), 32% (95% CI: 3%, 52%), and 23% (95% CI: −5%, 44%) in subjects enrolled at age <7, 7–11, and 12–18 months, respectively. Corresponding rate reductions were 3.4, 4.7, and 2.5 per 1000 person-years. VE estimates against pneumonia with alveolar consolidation or pleural effusion (WHO criteria) in the three cohorts were 45% (95% CI: 26%, 60%), 56% (95% CI: 14%, 77%), and 48% (95% CI: 2%, 73%), respectively.ConclusionPHiD-CV10 vaccination remarkably reduced disease burden due to pneumonia in infants and young children.Clinical trial registrationMain trial NCT00861380, nested carriage and otitis media trial NCT00839254 (ClinicalTrials.gov).     

System for Rapid Assessment of Pneumonia and Influenza-Related Mortality—Ohio, 2009–2010

Rapid mortality surveillance is critical for state emergency preparedness. To enhance timeliness during the 2009–2010 influenza A H1N1 pandemic, the Ohio Department of Health activated a drop-down menu within Ohio’s Electronic Death Registration System for reporting of pneumonia- or influenza-related deaths approximately 5 days postmortem. We used International Classification of Diseases—Tenth Revision (ICD-10) codes, available 2–3 months postmortem as the standard, and assessed their agreement with drop-down-menu codes for pneumonia- or influenza-related deaths. Among 56 660 Ohio deaths during September 2009–March 2010, agreement was 97.9% for pneumonia (κ = 0.85) and 99.9% for influenza (κ = 0.79). Sensitivity was 80.2% for pneumonia and 73.9% for influenza. Drop-down menu coding enhanced timeliness while maintaining high agreement with ICD-10 codes.     

International classification of diseases codes showed modest sensitivity for detecting community-acquired pneumonia

OBJECTIVE: To estimate the sensitivity of International Classification of Diseases (ICD-9-CM) coding for detecting hospitalized community-acquired pneumonia and to assess possible determinants for misclassification. STUDY DESIGN AND SETTING: Based on microbiological analysis data, 293 patients with a principal diagnosis of community-acquired pneumonia at seven hospitals in the Netherlands were assigned to three categories (pneumococcal pneumonia, pneumonia with other organism, or pneumonia with no organism specified). For these patients, the assigned principal and secondary ICD-9-CM codes in the hospital discharge record were retrieved and the corresponding sensitivity was calculated. Furthermore, pneumonia-related patient characteristics were compared between correctly and incorrectly coded subjects. RESULTS: The overall sensitivity was 72.4% for the principal code and 79.5% for combined principal and secondary codes. For pneumococcal pneumonia (ICD-9-CM code 481) and pneumonia with specified organism (ICD-9-CM code 482-483), the sensitivities were 35% and 18.3%, respectively. Patient characteristics were not significantly different between correctly and incorrectly coded subjects except for duration of hospital stay, which correlated negatively with coding sensitivity (P=0.01). CONCLUSION: ICD-9-CM codes showed modest sensitivity for detecting community-acquired pneumonia in hospital administrative databases, leaving at least one quarter of pneumonia cases undetected. Sensitivity decreased with longer duration of hospital stay.     

Failure of ICD-9-CM codes to identify patients with comorbid chronic kidney disease in diabetes

OBJECTIVE: To determine prevalence of chronic kidney disease (CKD) in patients with diabetes, and accuracy of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to identify such patients. DATA SOURCES/STUDY SETTING: Secondary data from 1999 to 2000. We linked all inpatient and outpatient administrative and clinical records of U.S. veterans with diabetes dually enrolled in Medicare and the Veterans Administration (VA) health care systems. STUDY DESIGN: We used a cross-sectional, observational design to determine the sensitivity and specificity of renal-related ICD-9-CM diagnosis codes in identifying individuals with chronic kidney disease. DATA COLLECTION/EXTRACTION METHODS: We estimated glomerular filtration rate (eGFR) from serum creatinine and defined CKD as Stage 3, 4, or 5 CKD by eGFR criterion according to the Kidney Disease Outcomes Quality Initiative guidelines. Renal-related ICD-9-CM codes were grouped by algorithm. PRINCIPAL FINDINGS: Prevalence of CKD was 31.6 percent in the veteran sample with diabetes. Depending on the detail of the algorithm, only 20.2 to 42.4 percent of individuals with CKD received a renal-related diagnosis code in either VA or Medicare records over 1 year. Specificity of renal codes for CKD ranged from 93.2 to 99.4 percent. Patients hospitalized in VA facilities were slightly more likely to be correctly coded for CKD than patients hospitalized in facilities reimbursed by Medicare (OR 5.4 versus 4.1, p=.0330) CONCLUSIONS: CKD is a common comorbidity for patients with diabetes in the VA system. Diagnosis codes in administrative records from Medicare and VA systems are insensitive, but specific markers for patients with CKD.     

Comparison of the use of administrative data and an active system for surveillance of invasive aspergillosis

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 invasive 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.     

Qualité du codage des diagnostics et motifs de prise en charge (principal et associés) dans le recueil d’informations médicalisé en psychiatrie (RIM-P) en 2015 et 2016, France

BackgroundBased on the observation of the misuse of ICD-10 to code the diagnoses in the RIM-P (lack of completeness, conformity and diversity), the Technical Agency for information on Hospital Care (ATIH), which provides tools for collecting medical information, conducted two actions in 2016. First, a chapter devoted to the instructions of coding has been written in the methodological guide of production of the RIM-P, second, a variable “type psy” was added to the ICD-10 nomenclature's file framing ICD-10 coding in the RIM-P. The purpose of this study is to describe the quality of diagnosis coding using ICD-10 in the RIM-P in 2015 and 2016.MethodsThe quality of diagnosis coding using ICD-10 in the summaries of activity of the RIM-P national databases was described in 2015 and 2016. The study focused on the completeness, the conformity and the diversity of coding.ResultsBetween 2015 and 2016, the percentage of summaries without primary diagnosis (“DP”) decreased slightly for full-time (5.2% vs. 3.8%), part-time (6.3% vs. 4.9%) inpatient stays and outpatient care (9.9% vs. 8.9%). ICD-10 codes used to code DP or associated diagnosis (“DA”), while prohibited, mainly belong to Chapter V Mental and behavioral disorders. Per year, only one-third of the summaries and one-half of patients had two or more ICD-10 codes reported for inpatient stays (one-fifth of the summaries and one-fourth of the patients for outpatient care). In addition, per year and per facility, the average number of distinct ICD-10 codes used to fill “DP” or “DA” was approximately half as important in part-time hospitalization, as in full-time hospitalization or for outpatient care. Moreover, 90% of the health facilities used < 550 distinct ICD-10 codes in full-time inpatient stays, < 270 in part-time inpatient stays and < 950 for outpatient care to code the “DP” or the “DA”. The diversity of ICD-10 codes used was low and similar between 2015 and 2016, especially to describe the socio-economic environment, resistance to treatment or non-compliance.ConclusionThis study emphasizes the need for a collective effort to improve the diversity of the diagnoses’ coding in the RIM-P.     

Reproductive and Other Health Outcomes in Iraq and Afghanistan Women Veterans Using VA Health Care: Association with Mental Health Diagnoses

BackgroundAn increasing number of women serve in the military and are exposed to trauma during service that can lead to mental health problems. Understanding how these mental health problems affect reproductive and physical health outcomes will inform interventions to improve care for women veterans.MethodsWe analyzed national Department of Veterans Affairs (VA) data from women Iraq and Afghanistan veterans who were new users of VA healthcare from October 7, 2001, through December 31, 2010 (n = 71,504). We used ICD-9 codes to categorize veterans into five groups by mental health diagnoses (MH Dx): Those with no MH Dx, posttraumatic stress disorder (PTSD), depression, comorbid PTSD and depression, and a MH Dx other than PTSD and depression. We determined the association between mental health category and reproductive and other physical health outcomes defined by ICD-9 codes. Categories included sexually transmitted infections, other infections (e.g., urinary tract infections), pain-related conditions (e.g., dysmenorrhea and dsypareunia), and other conditions (e.g., polycystic ovarian syndrome, infertility, sexual dysfunction). Models were adjusted for sociodemographic and military service factors.ResultsThere were 31,481 patients (44%) who received at least one mental health diagnosis. Women veterans with any mental health diagnosis had significantly higher prevalences of nearly all categories of reproductive and physical disease diagnoses (p < .0001 for adjusted prevalences). There was a trend of increasing prevalence of disease outcomes in women with PTSD, depression, and comorbid PTSD and depression (p for trend <.0001 for all outcomes).ConclusionsIraq and Afghanistan women veterans with mental health diagnoses had significantly greater prevalences of several important reproductive and physical health diagnoses. These results provide support for VA initiatives to address mental and physical health concerns and improve comprehensive care for women veterans.