Three- and four-digit ICD-10 is not a reliable classification system in primary care

Linking physiology and demographics, non-ocular pathology and pharmaceutical drug use to standard OCT measures of the inner retina: The PPP project

PURPOSE

To assess the associations between physiology and demographics, non-ocular pathology and pharmaceutical drug use against peri-papillary retinal nerve fibre layer thickness (pRNFL T) and other optical coherence tomography (OCT) inner retinal measures in normal, healthy eyes.

METHODS

A retrospective, cross-sectional study of 705 consecutive participants with bilateral normal, healthy optic nerves and maculae. PRNFL Ts, vertical cup/disc ratio (CDR), cup volume and macular ganglion cell layer-inner plexiform layer (GCL-IPL) Ts were extracted from Cirrus OCT scans, then regressed against predictor variables of participants' physiology and demographics (eye laterality, refraction, intraocular pressure [IOP], age, sex, race/ethnicity, etc.) and non-ocular pathology and pharmaceutical drug use according to the World Health Organisation classifications. Associations were assessed for statistical significance (p < 0.05) and clinical significance (|β| > 95% limits of agreement for repeated measures).

RESULTS

A multitude of non-ocular pathology and pharmaceutical drug use were statistically and clinically significantly associated with deviations in standard OCT inner retinal measures, exceeding the magnitude of other factors such as age, IOP and race/ethnicity. Thinner inner retina and larger optic nerve cup measures were linked to use of systemic corticosteroids, sex hormones/modulators, presence of vasomotor/allergic rhinitis and other diseases and drugs (up to -29.3 [-49.88, -8.72] μm pRNFL T, 0.31 [0.07, 0.54] vertical CDR, 0.29 [0.03, 0.54] mm3 cup volume and -10.18 [-16.62, -3.74] μm macular GCL-IPL T; all p < 0.05). Thicker inner retina and smaller optic nerve cup measures were diffusely associated with use of antineoplastic agents, presence of liver or urinary diseases and other diseases and drugs (up to 67.12 [64.92, 69.31] μm pRNFL T, -0.31 [-0.53, -0.09] vertical CDR, -0.06 [-0.11, 0] mm3 cup volume and 28.84 [14.51, 43.17] μm macular GCL-IPL T; all p < 0.05).

CONCLUSION

There are a multitude of systemic diseases and drugs associated with altered OCT inner retinal measures, with magnitudes far exceeding those of other factors such as age, IOP and race/ethnicity. These systemic factors should at least be considered during OCT assessments to ensure precise interpretation of normal versus pathological inner retinal health.

Frequency distribution of health disorders in primary care-its consistency and meaning for diagnostics and nomenclature

RN Braun observed that frequencies of health disorders in general practice are so consistent that he called his discovery "Case Distribution Law". Our study compares morbidity data from methodologically similar surveys in primary care practices over a period of fifty years. Frequency ranks were determined for each observation period and the first 150 ranks were compared with Spearman's correlation coefficients. All correlations were consistently positive. Frequency ranks were strikingly similar for surveys carried out at approximately the same time, especially when nomenclatural matching had been carried out before data collection. Ranks were also very similar where clear disease classifications were possible, but less so for non-specific symptoms.The consistency of the distribution of health disorders helps develop diagnostic strategies (diagnostic protocols) and appropriate labeling for non-specific, diagnostically open symptom classifications. According to Braun's considerations, the regularity of case distribution plays an important role in the professionalization of primary care.

Developing and testing a framework for coding general practitioners' free-text diagnoses in electronic medical records - a reliability study for generating training data in natural language processing

BACKGROUND

Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (NLP) could assist in coding free-text diagnoses, but NLP models require local training data to unlock their potential. The aim of this study was to develop a framework of research-relevant diagnostic codes, to test the framework using free-text diagnoses from a Swiss primary care database and to generate training data for NLP modelling.

METHODS

The framework of diagnostic codes was developed based on input from local stakeholders and consideration of epidemiological data. After pre-testing, the framework contained 105 diagnostic codes, which were then applied by two raters who independently coded randomly drawn lines of free text (LoFT) from diagnosis lists extracted from the electronic medical records of 3000 patients of 27 general practitioners. Coding frequency and mean occurrence rates (n and %) and inter-rater reliability (IRR) of coding were calculated using Cohen's kappa (Κ).

RESULTS

The sample consisted of 26,980 LoFT and in 56.3% no code could be assigned because it was not a specific diagnosis. The most common diagnostic codes were, 'dorsopathies' (3.9%, a code covering all types of back problems, including non-specific lower back pain, scoliosis, and others) and 'other diseases of the circulatory system' (3.1%). Raters were in almost perfect agreement (Κ ≥ 0.81) for 69 of the 105 diagnostic codes, and 28 codes showed a substantial agreement (K between 0.61 and 0.80). Both high coding frequency and almost perfect agreement were found in 37 codes, including codes that are particularly difficult to identify from components of the electronic medical record, such as musculoskeletal conditions, cancer or tobacco use.

CONCLUSION

The coding framework was characterised by a subset of very frequent and highly reliable diagnostic codes, which will be the most valuable targets for training NLP models for automated disease classification based on free-text diagnoses from Swiss general practice.

Saxon Epidemiological Study in General Practice-6 (SESAM-6): protocol of a cross-sectional study

INTRODUCTION

General practitioners (GPs) are mostly the first point of contact for patients with health problems in Germany. There is only a limited epidemiological overview data that describe the GP consultation hours based on other than billing data. Therefore, the aim of Saxon Epidemiological Study in General Practice-6 (SESAM-6) is to examine the frequency of reasons for encounter, prevalence of long-term diagnosed diseases and diagnostic and therapeutic decisions in general practice. This knowledge is fundamental to identify the healthcare needs and to develop strategies to improve the GP care. The results of the study will be incorporated into the undergraduate, postgraduate and continuing medical education for GP.

METHODS AND ANALYSIS

This cross-sectional study SESAM-6 is conducted in general practices in the state of Saxony, Germany. The study design is based on previous SESAM studies. Participating physicians are assigned to 1 week per quarter (over a survey period of 12 months) in which every fifth doctor-patient contact is recorded for one-half of the day (morning or afternoon). To facilitate valid statements, a minimum of 50 GP is required to document a total of at least 2500 doctor-patient contacts. Univariable, multivariable and subgroup analyses as well as comparisons to the previous SESAM data sets will be conducted.

ETHICS AND DISSEMINATION

The study was approved by the Ethics Committee of the Technical University of Dresden in March 2023 (SR-EK-7502023). Participation in the study is voluntary and will not be remunerated. The study results will be published in peer-reviewed scientific journals, preferably with open access. They will also be disseminated at scientific and public symposia, congresses and conferences. A final report will be published to summarise the central results and provided to all study participants and the public.

ICD-10 diagnosis codes in electronic health records do not adequately capture fracture complexity for proximal humerus fractures

BACKGROUND

The ability to do comparative effectiveness research (CER) for proximal humerus fractures (PHF) using data in electronic health record (EHR) systems and administrative claims databases was enhanced by the 10th revision of the International Classification of Diseases (ICD-10), which expanded the diagnosis codes for PHF to describe fracture complexity including displacement and the number of fracture parts. However, these expanded codes only enhance secondary use of data for research if the codes selected and recorded correctly reflect the fracture complexity. The objective of this project was to assess the accuracy of ICD-10 diagnosis codes documented during routine clinical practice for secondary use of EHR data.

METHODS

A sample of patients with PHFs treated by orthopedic providers across a large, regional health care system between January 1, 2016, and December 31, 2018, were retrospectively identified from the EHR. Four fellowship-trained orthopedic surgeons reviewed patient radiographs and recorded the Neer Classification characteristics of displacement, number of parts, and fracture location(s). The fracture characteristics were then reviewed by a trained coder, and the most clinically appropriate ICD-10 diagnosis code based on the number of fracture parts was assigned. We assessed congruence between ICD-10 codes documented in the EHR and radiograph-validated codes, and assessed sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for EHR-documented ICD-10 codes.

RESULTS

There were 761 patients with unilateral, closed PHF who met study inclusion criteria. On average, patients were 67 years of age and 77% were female. Based on radiograph review, 37% were 1-part fractures, 42% were 2-part, 11% were 3-part, and 10% were 4-part fractures. Of the EHR diagnosis codes recorded during clinical practice, 59% were "unspecified" fracture diagnosis codes that did not identify the number of fracture parts. Examination of fracture codes revealed PPV was highest for 1-part (PPV = 0.66, 95% confidence interval [CI] 0.60-0.72) and 4-part fractures (PPV = 0.67, 95% CI 0.13-1.00).

CONCLUSIONS

Current diagnosis coding practices do not adequately capture the fracture complexity needed to conduct subgroup analysis for PHF. Conclusions drawn from population studies or large databases using ICD-10 codes for PHF classification should be interpreted within this limitation. Future studies are warranted to improve diagnostic coding to support large observational studies using EHR and administrative claims data.

Predicting Short-Term Mortality in Older Patients Discharged from Acute Hospitalizations Lasting Less Than 24 Hours

Purpose

Over coming decades, a rise in the number of short, acute hospitalizations of older people is to be expected. To help physicians identify high-risk patients prior to discharge, we aimed to develop a model capable of predicting the risk of 30-day mortality for older patients discharged from short, acute hospitalizations and to examine how model performance changed with an increasing amount of information.

Methods

This registry-based study included acute hospitalizations in Denmark for 2016-2018 lasting ≤24 hours where patients were permanent residents, ≥65 years old, and discharged alive. Utilizing many different predictor variables, we developed random forest models with an increasing amount of information, compared their performance, and examined important variables.

Results

We included 107,132 patients with a median age of 75 years. Of these, 3.3% (n=3575) died within 30 days of discharge. Model performance improved especially with the addition of laboratory results and information on prior acute admissions (AUROC 0.835), and again with comorbidities and number of prescription drugs (AUROC 0.860). Model performance did not improve with the addition of sociodemographic variables (AUROC 0.861), apart from age and sex. Important variables included age, dementia, number of prescription drugs, C-reactive protein, and eGFR.

Conclusion

The best model accurately estimated the risk of short-term mortality for older patients following short, acute hospitalizations. Trained on a large and heterogeneous dataset, the model is applicable to most acute clinical settings and could be a useful tool for physicians prior to discharge.

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin

BACKGROUND

There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics.

METHODS

Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined.

RESULTS

6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90).

CONCLUSIONS

Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types.

IMPACT

This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

Exposure to anticholinergic and sedative medication is associated with impaired functioning in older people with vertigo, dizziness and balance disorders-Results from the longitudinal multicenter study MobilE-TRA

Introduction: Anticholinergic and sedative medication is prescribed for various conditions in older patients. While the general association between anticholinergic and sedative medication and impaired functioning is well established, its specific role in older individuals with vertigo, dizziness, and balance disorders (VDB) is still incompletely understood. The objective of this study was to investigate, whether an exposure to anticholinergic and sedative medication is associated with lower generic and lower vertigo-specific functioning in older patients with VDB. Methods: Data originates from the longitudinal multicenter study MobilE-TRA with two follow-ups, conducted from 2017 to 2019 in two German federal states. Exposure to anticholinergic and sedative medication was quantified using the drug burden index (DBI). Generic functioning was assessed by the Health Assessment Questionnaire Disability Index, appraising the amount of difficulties in performing activities of daily living (ADL). Vertigo-specific functioning was measured using the Vestibular Activities and Participation (VAP) questionnaire, assessing patient-reported functioning regarding activities of daily living that are difficult to perform because of their propensity to provoke VDB (Scale 1) as well as immediate consequences of VDB on activities and participation related to mobility (Scale 2). Longitudinal linear mixed models were applied to assess the association of exposure to anticholinergic and sedative medication at baseline and the level of generic and vertigo-specific functioning status over time. Results: An overall of 19 (7 from Bavaria) primary care physicians (mean age = 54 years, 29% female) recruited 158 (59% from Bavaria) patients with VDB (median age = 78 years, 70% female). Anticholinergic and sedative medication at baseline was present in 56 (35%) patients. An exposure to anticholinergic and sedative medication at baseline was significantly associated with lower generic functioning [Beta = 0.40, 95%-CI (0.18; 0.61)] and lower vertigo-specific functioning [VAP Scale 1: Beta = 2.47, 95%-CI (0.92; 4.02)], and VAP Scale 2: Beta = 3.74, 95%-CI [2.23; 5.24]). Conclusion: Our results highlight the importance of a close monitoring of anticholinergic and sedative medication use in older patients with VDB. When feasible, anticholinergic and sedative medication should be replaced by equivalent alternative therapies in order to potentially reduce the burden of VDB.

Combining the GP's assessment and the PHQ-9 questionnaire leads to more reliable and clinically relevant diagnoses in primary care

Background

Screening questionnaires are not sufficient to improve diagnostic quality of depression in primary care. The additional consideration of the general practitioner’s (GP’s) assessment could improve the accuracy of depression diagnosis. The aim of this study was to examine whether the GP rating supports a reliable depression diagnosis indicated by the PHQ-9 over a period of three months.

Methods

We performed a secondary data analysis from a previous study. PHQ-9 scores of primary care patients were collected at the time of recruitment (t1) and during a follow-up 3 months later (t2). At t1 GPs independently made a subjective assessment whether they considered the patient depressive (yes/no). Two corresponding groups with concordant and discordant PHQ-9 and GP ratings at t1 were defined. Reliability of the PHQ-9 results at t1 and t2 was assessed within these groups and within the entire sample by Cohen’s Kappa, Pearson’s correlation coefficient and Bland-Altman plots.

Results

364 consecutive patients from 12 practices in the region of Upper Bavaria/Germany participated in this longitudinal study. 279 patients (76.6%) sent back the questionnaire at t2. Concordance of GP rating and PHQ-9 at t1 led to higher replicability of PHQ-9 results between t1 and t2. The reliability of PHQ-9 was higher in the concordant subgroup (κ = 0.507) compared to the discordant subgroup (κ = 0.211) (p = 0.064). The Bland-Altman Plot showed that the deviation of PHQ-9 scores at t1 and t2 decreased by about 15% in the concordant subgroup. Pearson’s correlation coefficient between PHQ-9 scores at t1 and t2 increased significantly if the GP rating was concordant with the PHQ-9 at t1 (r = 0.671) compared to the discordant subgroup (r = 0.462) (p = 0.044).

Conclusions

The combination of PHQ-9 and GP rating might improve diagnostic decision making regarding depression in general practices. PHQ-9 positive results might be more reliable and accurate, when a concordant GP rating is considered.

Last year of life of adults with congenital heart diseases: causes of death and patterns of care

AIMS

Although life expectancy in adults with congenital heart diseases (CHD) has increased dramatically over the past five decades, still a substantial number of patients dies prematurely. To gain understanding in the trajectories of dying in adults with CHD, the last year of life warrants further investigation. Therefore, our study aimed to (i) define the causes of death and (ii) describe the patterns of healthcare utilization in the last year of life of adults with CHD.

METHODS AND RESULTS

This retrospective mortality follow-back study used healthcare claims and clinical data from BELCODAC, which includes patients with CHD from Belgium. Healthcare utilization comprises cardiovascular procedures, CHD physician contacts, general practitioner visits, hospitalizations, emergency department (ED) visits, intensive care unit (ICU) admissions, and specialist palliative care, and was identified using nomenclature codes. Of the 390 included patients, almost half of the study population (45%) died from a cardiovascular cause. In the last year of life, 87% of patients were hospitalized, 78% of patients had an ED visit, and 19% of patients had an ICU admission. Specialist palliative care was provided to 17% of patients, and to only 4% when looking at the patients with cardiovascular causes of death.

CONCLUSIONS

There is a high use of intensive and potentially avoidable care at the end of life. This may imply that end-of-life care provision can be improved. Future studies should further examine end-of-life care provision in the light of patient's needs and preferences, and how the healthcare system can adequately respond.

Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission

OBJECTIVES

We perform and evaluate record linkage of German Care Needs Assessment (CNA) data to Statutory Health Insurance (SHI) claims data. The resulting dataset should enable the identification of factors in healthcare predicting the time between the onset of long-term care dependency and the admission to a nursing home in Germany in subsequent analyses.

DESIGN

A deterministic record linkage was conducted using the key variables region, sex, date of birth and care level. In further steps, the underlying cause of care dependency (International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10)) was added for a higher level of distinction. Before linkage, the suitability of the two datasets for these procedures was assessed. After linkage, the results of each stage were analysed and the resulting dataset was evaluated cross-sectionally with respect to bias generated through this process.

SETTING

The study comprises data from the German SHI and Statutory Long-Term Care Insurance.

PARTICIPANTS

The study cohort comprised 158 069 individuals who became care dependent in 2006. We obtained CNA data for the year 2006 including 188 935 individuals.

RESULTS

We could link CNAs to 66 310 individuals of the original study cohort, corresponding to 42.0%. Records from two federal states could not be matched due to missing data. Linkage rates were lower where more people shared the same attributes. The resulting dataset showed minor differences regarding age, sex and care level compared to the original cohort.

CONCLUSIONS

Data linkage between German SHI claims data and CNA data is feasible. Failure to link was mostly attributable to a lack of distinction between individuals using available identifiers. The resulting dataset contains relevant information from both health services provision and functional status of care dependent people and is suitable for further analyses with critical reflection of representativity.

Simplified data science approach to extract social and behavioural determinants: a retrospective chart review

OBJECTIVES

We aim to extract a subset of social factors from clinical notes using common text classification methods.

DESIGN

Retrospective chart review.

SETTING

We collaborated with a local level I trauma hospital located in an underserved area that has a housing unstable patient population of about 6.5% and extracted text notes related to various social determinants for acute care patients.

PARTICIPANTS

Notes were retrospectively extracted from 43 798 acute care patients.

METHODS

We solely use open source Python packages to test simple text classification methods that can potentially be easily generalisable and implemented. We extracted social history text from various sources, such as admission and emergency department notes, over a 5-year timeframe and performed manual chart reviews to ensure data quality. We manually labelled the sentiment of the notes, treating each text entry independently. Four different models with two different feature selection methods (bag of words and bigrams) were used to classify and predict housing stability, tobacco use and alcohol use status for the extracted clinical text.

RESULTS

From our analysis, we found overall positive results and metrics in applying open-source classification techniques; the accuracy scores were 91.2%, 84.7%, 82.8% for housing stability, tobacco use and alcohol use, respectively. There were many limitations in our analysis including social factors not present due to patient condition, multiple copy-forward entries and shorthand. Additionally, it was difficult to translate usage degrees for tobacco and alcohol use. However, when compared with structured data sources, our classification approach on unstructured notes yielded more results for housing and alcohol use; tobacco use proved less fruitful for unstructured notes.

People who make frequent emergency department visits based on persistence of frequent use in Ontario and Alberta: a retrospective cohort study

BACKGROUND

The factors that underlie persistent frequent visits to the emergency department are poorly understood. This study aimed to characterize people who visit emergency departments frequently in Ontario and Alberta, by number of years of frequent use.

METHODS

This was a retrospective cohort study aimed at capturing information about patients visiting emergency departments in Ontario and Alberta, Canada, from Apr. 1, 2011, to Mar. 31, 2016. We identified people 18 years or older with frequent emergency department use (top 10% of emergency department use) in fiscal year 2015/16, using the Dynamic Cohort from the Canadian Institute of Health Information. We then organized them into subgroups based on the number of years (1 to 5) in which they met the threshold for frequent use over the study period. We characterized subgroups using linked emergency department, hospitalization and mental health-related hospitalization data.

RESULTS

We identified 252 737 people in Ontario and 63 238 people in Alberta who made frequent visits to the emergency department. In Ontario and Alberta, 44.3% and 44.7%, respectively, met the threshold for frequent use in only 1 year and made 37.9% and 38.5% of visits; 6.8% and 8.2% met the threshold for frequent use over 5 years and made 11.9% and 13.2% of visits. Many characteristics followed gradients based on persistence of frequent use: as years of frequent visits increased (1 to 5 years), people had more comorbidities, homelessness, rural residence, annual emergency department visits, alcohol- and substance use-related presentations, mental health hospitalizations and instances of leaving hospital against medical advice.

INTERPRETATION

Higher levels of comorbidities, mental health issues, substance use and rural residence were seen with increasing years of frequent emergency department use. Interventions upstream and in the emergency department must address unmet needs, including services for substance use and social supports.

A new approach to medical diagnostic decision support

Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and repair of complex engineered system, but it has yet to be applied systematically to the most complex and socially expensive system - the human body. The currently available approaches of knowledge-based and pattern-based artificial intelligence are unsuited to the iterative and often subjective nature of clinician-patient interactions. Furthermore, current electronic health records generally have poor design and low quality for such data mining. Bayesian methods have been developed to suggest multiple possible diagnoses given a set of clinical findings, but the larger problem is advising the physician on useful next steps. A new approach based on inverting Bayesian inference allows identification of the diagnostic actions that are most likely to disambiguate a differential diagnosis at each point in a patient's work-up. This can be combined with personalized cost information to suggest a cost-effective path to the clinician. Because the software is tracking the clinician's decision-making process, it can provide salient suggestions for both diagnoses and diagnostic tests in standard, coded formats that need only to be selected. This would reduce the need to type in free text, which is prone to ambiguities, omissions and errors. As the database of high-quality records grows, the scope, utility and acceptance of the system should also grow automatically, without requiring expert updating or correction.

Identifying subgroups and risk among frequent emergency department users in British Columbia

Objective: Frequent emergency department (ED) users are heterogeneous. We aimed to identify subgroups and assess their mortality. Methods: We identified patients ≥18 years with ≥1 ED visit in British Columbia from April 1, 2012 to March 31, 2015, and linked to hospitalization, physician billing, prescription, and mortality data. Frequent users were the top 10% of patients by ED visits. We employed cluster analysis to identify frequent user subgroups. We assessed 365-day mortality using Kaplan-Meier curves and conducted Cox regressions to assess mortality risk factors within subgroups. Results: We identified 4 subgroups. Subgroup 1 ("Elderly") had median age 77 years (interquartile range [IQR]: 66-85), 5 visits/year (IQR: 4-6), median 8 prescription medications (IQR: 5-11), and 24.7% mortality. Subgroup 2 ("Mental Health and Alcohol Use") had median age 48 years (IQR: 34-61), 13 visits/year (IQR: 10-16), and 12.3% mortality. They made a median 31 general practitioner visits (IQR: 19-51); however, only 23.7% received a majority of services from 1 primary care physician. Subgroup 3 ("Young Mental Health") had median age 39 years (IQR: 28-51), 5 visits/year (IQR: 4-6), and 2.2% mortality. Subgroup 4 ("Short-term") had median age 50 years (IQR: 34-65), 4 visits/year (IQR: 4-5) regularly spaced over a short term, and 1.4% mortality. Male sex (all subgroups), long-term care ("Mental Health and Alcohol Use;" "Young Mental Health"), and rural residence ("Elderly" in long-term care; "Young Mental Health") were associated with increased mortality. Conclusions: Our results identify frequent user subgroups with varying mortality. Future research should explore subgroups' unmet needs and tailor interventions toward them.

[Coding in general practice-Will the ICD-11 be a step forward?]

Primary care physicians in Germany don't benefit from coding diagnoses-they are coding for the needs of others. For coding, they mostly are using either the thesaurus of the German Institute of Medical Documentation and Information (DIMDI) or self-made cheat-sheets. Coding quality is low but seems to be sufficient for the main use case of the resulting data, which is the morbidity adjusted risk compensation scheme that distributes financial resources between the many German health insurance companies.Neither the International Classification of Diseases and Health Related Problems (ICD-10) nor the German thesaurus as an interface terminology are adequate for coding in primary care. The ICD-11 itself will not recognizably be a step forward from the perspective of primary care. At least the browser database format will be advantageous. An implementation into the 182 different electronic health records (EHR) on the German market would probably standardize the coding process and make code finding easier. This method of coding would still be more cumbersome than the current coding with self-made cheat-sheets.The first steps towards a useful official cheat-sheet for primary care have been taken, awaiting implementation and evaluation. The International Classification of Primary Care (ICPC-2) already provides an adequate classification standard for primary care that can also be used in combination with ICD-10. A new version of ICPC (ICPC-3) is under development. As the ICPC-2 has already been integrated into the foundation layer of ICD-11 it might easily become the future standard for coding in primary care. Improving communication between the different EHR would make taking over codes from other healthcare providers possible. Another opportunity to improve the coding quality might be creating use cases for the resulting data for the primary care physicians themselves.

Development and Evaluation of a Serious Game for Teaching ICD-10 Diagnosis Coding to Medical Students

Objective: Assessment of the pedagogical effect and technological acceptance of the serious game, CODIFICO, which has been designed to train medical students in ICD-10 diagnosis coding. Materials and Methods: We designed the serious game, CODIFICO, as an alternative way to teach ICD-10 diagnosis coding to undergraduate medical students. To assess the pedagogical effect of the game, we used the quasiexperimental pretest-posttest design. The participants began by completing a knowledge pretest on Blackboard. After the pretest, the teacher presented the game to the students and invited them to play it for 1 week. Then, the students completed the posttest on Blackboard. We applied the Wilcoxon test to establish the difference between the pretest and posttest. We designed a questionnaire to evaluate the participants' technology acceptance toward the game. Results: Sixty-one undergraduate medical students from a large Colombian private university took part. There was no statistically significant difference between the pretest and the posttest. However, the game had some positive effects on knowledge. The game was well accepted among the participants. Conclusion: The game, CODIFICO, was useful to teach diagnosis determination, not diagnostic coding. Some of the reasons that caused this situation were insufficient attention to the pedagogical theory, excessive reliance on clinical aspects of the medical training, limited resources, and lack of experience at the medical school to design gamification strategies.

Characterization of antimicrobial prescription frequency and diversity in a large animal veterinary medical teaching hospital

Antimicrobials are commonly used in veterinary medicine for therapeutic and prophylactic purposes, but little is known about the frequency with which they are prescribed or the quantity administered, especially in large animals. Furthermore, there are no standardized metrics for characterizing antimicrobial use, which can lead to confusion when comparing antimicrobial use among different units (institution, clinical service, clinician). Because there is no gold standard metric, the most comprehensive characterization of antimicrobial use will be achieved using a variety of metrics. The goal of this study was to characterize antimicrobial use from 2013 to 2018 at a tertiary care teaching hospital for large animals using different metrics, including novel ones. We found that at least one antimicrobial was prescribed in 42% of visits and that antimicrobials were prescribed at a rate of 919 animal-defined daily doses (ADDs) per 1000 animal days. A median of 3.6 ADDs and a mean of 2 different classes of antimicrobial were prescribed per patient, and penicillin was the most commonly used antimicrobial. The prescription diversity, a metric accounting for richness and evenness (similarity of frequencies) of different types of antimicrobials, was 0.82, with 1.0 representing maximal richness and diversity. Antimicrobial use differed significantly by species and by organ system affected for all metrics, though in general antimicrobials were prescribed most frequently and with the largest amounts in animals presenting with integumentary or respiratory signs. Many of our findings were consistent with those of other studies examining antimicrobial use in the species represented in our patient population, but more research is needed to determine how to best characterize antimicrobial use and assess appropriateness of prescribing.

Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding

BACKGROUND

A task force of the International Association for the Study of Pain (IASP) has developed a classification of chronic pain for the ICD-11 consisting of seven major categories. The objective was to test whether the proposed categories were exhaustive and mutually exclusive. In addition, the perceived utility of the diagnoses and the raters' subjective diagnostic certainty were to be assessed.

METHODS

Five independent pain centers in three continents coded 507 consecutive patients. The raters received the definitions for the main diagnostic categories of the proposed classification and were asked to allocate diagnostic categories to each patient. In addition, they were asked to indicate how useful they judged the diagnosis to be from 0 (not at all) to 3 (completely) and how confident they were in their category allocation.

RESULTS

The two largest groups of patients were coded as either chronic primary pain or chronic secondary musculoskeletal pain. Of the 507 patients coded, 3.0% had chronic pain not fitting any of the proposed categories (97% exhaustiveness), 20.1% received more than one diagnosis. After adjusting for double coding due to technical reasons, 2.0% of cases remained (98% uniqueness). The mean perceived utility was 1.9 ± 1.0, the mean diagnostic confidence was 2.0 ± 1.0.

CONCLUSIONS

The categories proved exhaustive with few cases being classified as unspecified chronic pain, and they showed themselves to be mutually exclusive. The categories were regarded as useful with particularly high ratings for the newly introduced categories (chronic cancer-related pain among others). The confidence in allocating the diagnoses was good although no training regarding the ICD-11 categories had been possible at this stage of the development.

Coding of medically unexplained symptoms and somatoform disorders by general practitioners - an exploratory focus group study

BACKGROUND

Medically unexplained symptoms (MUS) and somatoform disorders are common in general practices, but there is evidence that general practitioners (GPs) rarely use these codes. Assuming that correct classification and coding of symptoms and diseases are important for adequate management and treatment, insights into these processes could reveal problematic areas and possible solutions. Our study aims at exploring general practitioners' views on coding and reasons for not coding MUS/somatoform disorders.

METHODS

We invited GPs to participate in six focus groups (N = 42). Patient vignettes and a semi-structured guideline were used by two moderators to facilitate the discussions. Recordings were transcribed verbatim. Two researchers analyzed the data using structuring content analysis with deductive and inductive category building.

RESULTS

Three main categories turned out to be most relevant. For category a) "benefits of coding" GPs described that coding is seen as being done for reimbursement purposes and is not necessarily linked to the content of their reference files for a specific patient. Others reported to code specific diagnoses only if longer consultations to explore psychosomatic symptoms or psychotherapy are intended to be billed. Reasons for b) "restrained coding" were attempting to protect the patient from stigma through certain diagnoses and the preference for tentative diagnoses and functional coding. Some GPs admitted to c) "code inaccurately" attributing this to insufficient knowledge of ICD-10-criteria, time constraints or using "rules of thumb" for coding.

CONCLUSIONS

There seem to be challenges in the process of coding of MUS and somatoform disorders, but GPs appear not to contest the patients' suffering and accept uncertainty (about diagnoses) as an elementary part of their work. From GPs' points of view ICD-10-coding does not appear to be a necessary requirement for treating patients and coding might be avoided to protect the patients from stigma and other negative consequences. Our findings supply a possible explanation for the commonly seen difference between routine and epidemiological data. The recent developments in the DSM-5 and the upcoming ICD-11 will supposedly change acceptance and handling of these diagnoses for GPs and patients. Either way, consequences for GPs' diagnosing and coding behavior are not yet foreseeable.

Development of a risk assessment tool for osteoporotic fracture prevention: A claims data approach

BACKGROUND

In aging societies osteoporotic fractures are a major health problem with high economic costs. Targeting prevention at individuals at high risk is important to reduce the future burden of fractures. Available risk assessment tools (e.g., FRAX®, QFracture, the algorithm provided by the German Osteology Society (DVO-Tool)) rely on self-reported patient information to predict fracture risk. Time and resource constraints, limited access to clinical data, and (un)willingness to participate may hamper the use of these tools. To overcome such obstacles, the aim is to develop a fracture risk assessment tool based on claims data that may be directly used on an institutional level.

METHODS

Administrative claims data of an elderly (≥65years) population (N=298,530) for the period from 2006 through 2014 was used. Major osteoporotic fractures (MOF) were identified based on hospital diagnoses. We applied Cox proportional hazard regression to determine the association of individual risk factors and fracture risk. Hazard ratios were used to construct a risk score. The discriminative ability of the score was evaluated using C-statistics.

RESULTS

We identified 7864 MOF during follow-up. The median time to first fracture during follow-up was 371.5days. Individuals with a MOF during follow-up had a higher mean and median risk score (mean: 4.53; median: 4) than individuals without MOF (mean: 3.07; median: 3). Adding drug-related risk factors slightly improved discrimination compared to a simple model with age, gender, and prior fracture.

CONCLUSION

We developed a fracture risk score model based on in-hospital treated subjects to predict MOF that can be used on an institutional level. The score included age, sex and prior fracture as risk factors. Adding other risk factors involved very small improvement in discrimination.

[Health disorders and their prevalence in two primary care practices from the perspective of different coding]

Family practices provide medical care for the majority of health problems. This already highlights the importance of primary health care with respect to quantity. A detailed five-year survey of cases in two rural practices gives insight into everyday practice. During the whole period of this year's prevalence survey, 24,541 or 32,605 episodes of care were recorded in a mean practice population of 1500 or 1700 persons, respectively. The frequency rates of more than 500 different health problems show a typical Pareto distribution. This distribution of the cases characterizes the subject of general practice/family medicine and essentially determines handling illness in practice. Lack of a common technical language, with regard to the classification of health disorders, becomes evident when comparing the practices. An issue whose impact on medical care, education and research should be further investigated.

[Quality of documented diagnosis in primary care - An analysis using the example of thyroid disorders]

BACKGROUND

Routine data of statutory health insurance (SHI) provide a great potential for evaluating the healthcare situation in Germany by providing, e. g., morbidity estimates. In the context of secondary data, analyses based on insurance data were conducted using the outpatient medical billing diagnosis. If, however, medical billing data, which are collected for this primary purpose, are the only source of these morbidity estimates, a limited validity of outpatient medical diagnostic data will have to be assumed or validity will have to be assured. This investigation aimed to analyse the quality of family practitioners' documentation regarding diagnostic data in patients with thyroid disease based on medical records for billing purposes.

METHODS

As part of the pilot study General practitioners' Views on Polypharmacy and its Consequences for Patient Health Care, the medical records of 548 multi-morbid patients with thyroid disease from six general practices in Dresden, Saxony, were analysed with respect to the congruence of prescriptions of thyroid medication and associated thyroid diagnosis. Logistic regression was used to investigate predictors of limited diagnostic data of thyroid disease.

RESULTS

There was insufficient documentation of thyroid diagnoses in 26.8% (n=147) of the included patients diagnosed with or treated for thyroid disease. The proportion of undocumented (1.1 to 35.8%), imprecise (4.6 to 22.3%) and non-specific documented (14.9 to 73.8%) thyroid diagnoses varied in all general practices. Due to undocumented thyroid disease, the corrected prevalence of thyroid diseases summarised for all practices was 5.5 percentage points higher than the originally documented prevalence (29.7 instead of 24.2%). An increasing number of prescribed drugs was a significant predictor for inadequate documentation of thyroid disease (for 5 to 8 routinely taken medications: OR=2.4/p<0.001; for 9 to 12: OR=4.0/p<0.001; for 13 to 20: OR=7.4/p<0.001).

CONCLUSIONS

Due to the limited data quality of outpatient medical billing diagnoses as a basis for morbidity estimates, GPs' diagnostic data should be subjected to regular internal and external diagnostic validation in SHI routine data. Additional case-related interviews with documenting GPs would significantly increase data validity. Also, intelligent e-tools supporting electronic patient documentation could be helpful to improve the quality of primary care documentation.

Chest pain in general practice: Frequency, management, and results of encounter

Objective:

Chest pain is a common reason for an encounter in general practice. The present investigation was set out to characterize the consultation rate of chest pain, accompanying symptoms, frequency of diagnostic and therapeutic interventions, and results of the encounter.

Materials and Methods:

Cross-sectional data were collected from randomly selected patients in the German Sächsische Epidemiologische Studie in der Allgemeinmedizin 2 (SESAM 2) and analyzed from the Dutch Transition Project.

Results:

Overall, 270 patients from the SESAM 2 study consulted a general practitioner due to chest pain (3% of all consultations). Chest pain was more frequent in people aged over 45 years. The most common diagnostic interventions were physical examination, electrocardiogram at rest and analysis of blood parameters. For the majority of cases, the physicians arranged a follow-up consultation or prescribed drugs. The transition project documented 8117 patients reporting chest pain with a frequency of 44.5/1000 patient years (1.7% of all consultations). Physical examination was also the most common diagnostic intervention, and physician's advice the most relevant therapeutic one.

Conclusion:

The most common causes for chest pain were musculoskeletal problems followed by cardiovascular diseases. Ischemic heart disease, psychogenic problems, and respiratory diseases each account for about 10% of the cases. However, acutely dangerous causes are rare in general practice.

Reasons for elderly patients GP visits: results of a cross-sectional study

OBJECTIVE

The aim of this study is to describe the frequency of reasons for elderly patients visits to a general practice (GP) setting.

SUBJECTS AND METHODS

Cross-sectional data from 8,877 randomly selected patients were assessed during a 1-year period by 209 GPs in the German federal state of Saxony. The reasons for visits, performed procedures, and results of visits were documented. In this study, the data of patients aged 65 years and older are analyzed and the procedural and nonprocedural reasons for visits are described.

RESULTS

In all, 2,866 patients aged 65 years and older were included. The majority of patients (1,807) were female. A total of 4,426 reasons for visits were found, distributed on 363 International Classification of Primary Care-2 codes. In the mean, there were 1.5 reasons for a GP visit from each patient. The top five nonprocedural reasons for visiting the GP were: cough (1.8%), back complaints (1.6%), shoulder complaints (1.3%), knee complaints (1.1%), and dyspnea (1.0% of all reasons for visit). The top five procedural reasons for visiting the GP included follow-up investigations of cardiovascular or endocrine disorders and immunizations. The top 30 nonprocedural reasons for visits covered 21.9% of all reasons for visiting. The top 30 procedural reasons covered 54.3% of all reasons for visits.

CONCLUSION

The current work indicates that people aged 65 years and older consult the GP more frequently for procedural than for nonprocedural reasons. The top 30 procedural and nonprocedural reasons for visits cover ~75% of all reasons for visits in these patients.

Do Continuing Medical Education (CME) events cover the content physicians want to know? A content analysis of CME offerings

INTRODUCTION

The purpose of this study is to assess whether annual refresher session offerings match the needs of physicians by coding and comparing session syllabi to physician questions collected electronically at the point of care.

METHODS

Thirteen syllabi from annual refresher continuing medical education (CME) events offered to family physicians in Canada were collected and their session titles and descriptions entered into a database. Titles and descriptions were coded using the International Classification for Primary Care version 2 (ICPC-2). Titles and descriptions were further coded depending on whether the sessions involved a drug treatment/medication component. Syllabi content was compared to previously determined questions asked by physicians at the point of care.

RESULTS

Of the original 701 session titles, 625 (89.2%) were suitable for analysis. CME sessions focused on musculoskeletal, digestive, skin, urologic, and general categories were underrepresented in comparison to point-of-care questions. The reverse was true for the psychological/mental health category.

DISCUSSION

Differences between questions asked by physicians at the point of care and the content of contemporaneous CME refresher courses can be analyzed to identify gaps in CME offerings. This knowledge could be used to develop CME curricula and highlight areas of need for inclusion in refresher courses.

Headache in General Practice: Frequency, Management, and Results of Encounter

Objective. Headache is a common reason for consulting the general practitioner. The goal of the investigation was to characterize the headache consultation rates, the associated symptoms, the frequency of diagnostic and therapeutic procedures, and the results of the encounter of patients with headache. Methods. Cross-sectional data were collected from randomly selected patients during the German SESAM 2 study and compared with unpublished but publicly available data from the Dutch Transition Project. Results. Headache accounts for up to five percent of all general practice consultations. Women consult the general practitioner for headache twice as often as men. Physical examination and drug prescription are the most frequent procedures. Most of the patients suffer from primary headache; secondary headache is due to upper respiratory tract infections or problems of the spinal column. Dangerous courses occur in very rare cases. Conclusion. This work confirms the findings of earlier studies regarding the management of patients that consult the general practitioner for headache. It broadens the preexisting database since cross-sectional data regarding headache in general practice was rarely published.

Unbiased identification of patients with disorders of sex development

Disorders of sex development (DSD) represent a collection of rare diseases that generate substantial controversy regarding best practices for diagnosis and treatment. A significant barrier preventing a better understanding of how patients with these conditions should be evaluated and treated, especially from a psychological standpoint, is the lack of systematic and standardized approaches to identify cases for study inclusion. Common approaches include "hand-picked" subjects already known to the practice, which could introduce bias. We implemented an informatics-based approach to identify patients with DSD from electronic health records (EHRs) at three large, academic children's hospitals. The informatics approach involved comprehensively searching EHRs at each hospital using a combination of structured billing codes as an initial filtering strategy followed by keywords applied to the free text clinical documentation. The informatics approach was implemented to replicate the functionality of an EHR search engine (EMERSE) available at one of the hospitals. At the two hospitals that did not have EMERSE, we compared case ascertainment using the informatics method to traditional approaches employed for identifying subjects. Potential cases identified using all approaches were manually reviewed by experts in DSD to verify eligibility criteria. At the two institutions where both the informatics and traditional approaches were applied, the informatics approach identified substantially higher numbers of potential study subjects. The traditional approaches yielded 14 and 28 patients with DSD, respectively; the informatics approach yielded 226 and 77 patients, respectively. The informatics approach missed only a few cases that the traditional approaches identified, largely because those cases were known to the study team, but patient data were not in the particular children's hospital EHR. The use of informatics approaches to search electronic documentation can result in substantially larger numbers of subjects identified for studies of rare diseases such as DSD, and these approaches can be applied across hospitals.

Gaining information about home visits in primary care: methodological issues from a feasibility study

Background

Home visits are part of general practice work in Germany. Within the context of an expanding elderly population and a decreasing number of general practitioner (GPs), open questions regarding the organisation and adequacy of GPs’ care in immobile patients remain. To answer these questions, we will conduct a representative primary data collection concerning contents and organisation of GPs’ home visits in 2014. Because this study will require considerable efforts for documentation and thus substantial involvement by participating GPs, we conducted a pilot study to see whether such a study design was feasible.

Methods

We used a mixed methods design with two study arms in a sample of teaching GPs of the University Halle. The quantitative arm evaluates participating GPs and documentation of home visits. The qualitative arm focuses on reasons for non-participation for GPs who declined to take part in the pilot study.

Results

Our study confirms previously observed reasons for non-response of GPs in the particular setting of home visits including lack of time and/or interest. In contrast to previous findings, monetary incentives were not crucial for GPs participation. Several factors influenced the documentation rate of home visits and resulted in a discrepancy between the numbers of home visits documented versus those actually conducted. The most frequently reported problem was related to obtaining patient consent, especially when patients were unable to provide informed consent due to cognitive deficits.

Conclusions

The results of our feasibility study provide evidence for improvement of the study design and study instruments to effectively conduct a documentation-intensive study of GPs doing home visits. Improvement of instructions and questionnaire regarding time variables and assessment of the need for home visits will be carried out to increase the reliability of future data. One particularly important methodological issue yet to be resolved is how to increase the representativeness of home visit care by including the homebound patient population that is unable to provide informed consent.

Knee pain as the reason for encounter in general practice

Objective. Currently, an overview of the management of knee pain in general practitioner's offices is not available. The main concern of this study was to evaluate the consultation prevalence of knee pain, accompanying symptoms, the frequency of diagnostic and therapeutic procedures, and results of encounters of patients suffering from knee pain. Methods. For the SESAM 2 study cross-sectional data was collected from randomly selected patients during one year and compared with publicly available data from the Dutch Transition Project. Results. Overall, 127 out of 8,877 (1.4%) patients of the SESAM 2 study and 6,754 out of 149,238 (4.5%) patients of the Dutch Transition Project consulted for knee pain. Drug prescription, follow-up consultation, giving doctor's advice, and referral to a specialist or physiotherapist were the most frequent procedures. Osteoarthritis of the knee and other musculoskeletal diseases were the most frequent results of encounter. Overweight, age, gender, and other musculoskeletal diseases were found to be significantly associated with knee pain. Conclusion. Knee pain in general practice settings is mainly associated with chronic problems. Dangerous outcomes (as suspected fracture or thrombosis) are rare. Further research is needed in order to reduce the influence knee pain has on daily living.

Nausea and vomiting as the reasons for encounter in general practice

Background

The present study aimed to explore the consultation prevalence, differential diagnoses, and management of patients presenting with nausea or vomiting to their family doctors.

Methods

Cross-sectional data were collected from randomly selected patients during the SESAM 2 study (October 1, 1999 to September 30, 2000). We contacted 2510 doctors; 270 (10.8%) of them participated in the study. Data were collected from randomly selected patients previously known to the general practitioner. Unpublished but publicly available data from the Dutch Transition Project were also analysed.

Results

One hundred and sixty-nine of the total 8874 patients consulted their general practitioner for nausea/vomiting; 97 (57.4%) were female and 72 (42.6%) were male. Most patients suffering from nausea or vomiting in general practice were aged between 15 and 64 years. Nearly all patients were given a physical examination. Most diagnoses were made without further investigation, additional diagnostic procedures were found to be necessary in only 7 patients. Drugs were prescribed as the most frequent form of medical treatment, in 76.3% of cases. Non-infectious gastroenteritis or colitis was the most frequent diagnosis. Nausea or vomiting was associated with diarrhoea, fever, and abdominal pain. Headache, general weakness, and epigastric pain were also statistically significantly associated with nausea or vomiting.

Conclusions

Many disorders cause nausea or vomiting. Although most of the patients were diagnosed with non-infectious gastroenteritis or colitis, the general practitioner also has to bear in mind that nausea and vomiting may be alarm symptoms. Medication was prescribed in most of the cases and there were only a few referrals to a specialist or hospital. Life-threatening disorders (appendicitis, bowel obstruction/ileus) were found in a few cases presenting with nausea or vomiting.

Keywords

Nausea; Vomiting; General practice; Primary care

Dyspnea as the reason for encounter in general practice

Background

Dyspnea is a common reason for consulting a physician. Data from the primary care setting on the epidemiology, management, and underlying causes of dyspnea have seldomly been published. The present study is aimed to explore the consultation prevalence of dyspnea, frequency of diagnostic and therapeutic procedures, accompanying symptoms and results of encounter or diagnoses of patients with dyspnea in a day-to-day primary care setting.

Methods

Cross-sectional data were collected from randomly selected patients during the SESAM 2 study (October 1, 1999 to September 30, 2000). Unpublished but publicly available data from the Dutch Transition Project were also analysed.

Results

One (n = 93; SESAM 2) and 3.9% (n = 7,855; Transition Project) of the patients consulted the practioner for dyspnea. The male to female ratio was almost 1 : 1. Half of the patients sought medical advice for not previously known dyspnea (Transition Project). Dyspnea occurs more frequently among small children (0 to 4 years) and elderly adults (> 64 years of age). Nearly all patients received a physical examination. Many causes were examined with the help of electrocardiograms but spirometry and laboratory tests were also used. Drug prescription was the most frequent (79.6%) therapeutic procedure. Acute bronchitis was the most common diagnosis. Dyspnea was significantly associated to cough, dysphagia, abnormal sputum, airway pain, sweating, and thoracic pain. There was also a significant association to chronic obstructive pulmonary disease.

Conclusions

Dyspnea is a common reason for seeking medical advice. Emergency cases (e.g. myocardial infarction) are rarely present in the general practitioner’s consultation. The majority of underlying causes are respiratory tract infections and exacerbated, previously known chronic diseases.

Keywords

Dyspnea; General practice; Primary care; Reason for encounter

Pruritus as reason for encounter in general practice

Background

Pruritus is a common reason for consulting the general practitioner. Data from a primary care setting have seldom been published. The goal of the recent investigation was to characterize the consultation prevalence of pruritus, frequency of diagnostic and therapeutic procedures, accompanying symptoms and results of encounter or diagnoses of patients with pruritus.

Methods

Cross-sectional data were collected from randomly selected patients during the SESAM 2 study and compared with unpublished but publicly available data from the Dutch Transition Project and the published Australian BEACH study data.

Results

Overall 64 of the 8,877 patients from the SESAM 2 study consulted a physician for pruritus. The male to female ratio was 1.0 : 1.3. Pruritus was more frequent in children and people aged over 75 years. Physical examination was performed in all patients. Further diagnostic measures were seldom necessary. Drugs were prescribed in 84% of the cases. Allergic contact eczema and infectious diseases of the skin were the most frequent results of encounter or diagnoses. Medical adverse effects and allergic reactions should be considered as causes of pruritus. We found no significant association to systemic diseases.

Conclusions

In a primary care setting, pruritus occurs regularly. It is associated to (infectious) skin diseases. Acute dangerous courses are rare.

Keywords

Pruritus; Itch; General practice; Primary care; Reason for encounter

Prevalence of diagnosis and direct treatment costs of back disorders in 644,773 children and youths in Germany

Background

Many authors have reported about the high prevalence rates of self-reported back pain in children. Nevertheless, little is known about the diagnosis of back disorders - regardless of whether the diagnosis is associated with back pain or not. Therefore, the aim of this study was to analyse the prevalence rates and costs of diagnosis of back disorders in childhood and youth.

Methods

We conducted a secondary data analysis of a large, population based German data set (2,300,980 insurants of statutory health insurance funds) which allowed for identification of prevalence rates of diagnoses of back disorders in children (age group 0-14 years) and youths (age group 15-24 years) using three digit ICD-10 codes for dorsopathies (M40 - M54: kyphosis and lordosis; scoliosis; spinal osteochondrosis; other deforming dorsopathies; ankylosing spondylitis; other inflammatory spondylopathies; spondylosis; other spondylopathies; spondylopathies in diseases classified elsewhere; cervical disc disorders; other intervertebral disc disorders; other dorsopathies, not elsewhere classified; dorsalgia). Direct treatment costs were calculated based on the real incurred costs for cases with a singular diagnosis of a back disorder. Wherever possible, the results of the random sample were extrapolated to all insurants of statutory health insurance funds (i. e., about 90% of the German population).

Results

We found prevalence rates for the diagnosis of back disorders to range between 0.01 - 12.5%. "Scoliosis" (M41) and "dorsalgia" (M54) were the most frequent diagnoses in both age groups. Based on these results, it was calculated that in 2002 alone, approximately 1.4 million children/youths in Germany were diagnosed with "dorsalgia" (M54), and that the direct costs for back disorders in childhood and youth accounted for at least 100 million Euros.

Conclusions

Instead of focusing on the individual, and self-reported disorder or disability, this analysis allowed for the detailed evaluation of medical experts' opinion on back disorders in childhood and youth and for a more objective or public health oriented insight in the topic of diagnosis of back pain and other back disorders. However, due to the methodological limitations by using ICD-10 coding, standardized random validity checks of population based data sets should be mandatory.