Electronic Patient-reported Outcomes During Breast Cancer Adjuvant Radiotherapy.

INTRODUCTION: Patient-reported outcomes (PROs) have become extremely important in following patients' health-related quality of life during cancer treatments. The aim of this study was to assess the usefulness of electronic PROs (ePROs) during adjuvant radiotherapy (RT) in patients with early breast cancer. MATERIALS AND METHODS: A registry trial was conducted with a total of 253 patients with breast cancer receiving RT. Adverse event data were collected from 9 items on the ePRO questionnaires that were administered before RT (N = 253), at the end of RT (± 3 days; N = 234), 1 month after RT (N = 230), and 3 months (N = 225) after RT. The patient characteristics and treatment details were collected from the medical records. RESULTS: The patients have started actively using the ePRO system, and the response rates were high (82.6%). During RT, 39.3% of the ePRO responses were about symptoms, and 60.7% were about treatment-related questions or advice. Patients treated with hypofractionated RT reported fewer local adverse events such as skin symptoms (P = .001) and pain (P = .002) than those who received conventional RT. One of the main findings of this study was that tiredness, fatigue, and anxiety were commonly reported on the patients' ePRO questionnaires, but they were rarely recorded in the medical records. CONCLUSION: Patients were motivated to use the ePRO system, and the response rates were high. Additionally, patients seemed to find that the ePRO system was an easy way to contact their own health care professionals. More attention should be paid to mental well-being during visits to the clinic.

User Experience of Mobile Personal Health Records for the Emergency Department: Mixed Methods Study.

BACKGROUND: Personal health records (PHRs) can be useful in the emergency department, as they provide patient information in an accurate and timely manner and enable it to be used actively. This has an effect on patients' health outcomes and patient experience. Despite the importance of PHRs in emergencies, there are only a few studies related to PHRs in emergencies that evaluate patient experience. OBJECTIVE: This study aims to introduce the novel mobile PHR (mPHR) platform to emergency environments and assess user experience. METHODS: The study was conducted from October 2019 to November 2019. In total, 1000 patients or carers in the emergency departments of 3 hospitals were provided an application-based service called FirstER, which was developed to collect and utilize medical information for patients in the emergency department. This study was performed as a mixed methods study. After using FirstER, we investigated its usability and conducted a survey on the experience of obtaining medical information with a legacy system and with FirstER. Additionally, we interviewed 24 patients to gain insight into their experiences regarding medical information using FirstER. For the quantitative analysis, the survey results were analyzed using descriptive statistics (mean and standard deviation). For the qualitative analysis, we determined the keywords and their frequencies from each survey question and interview question. RESULTS: In total, 1000 participants, consisting of both patients and carers, were recruited in this study. Their mean age was 41.4 (SD 13.3) years. We ascertained participants' satisfaction with FirstER and their mPHR needs through a survey and an in-depth interview. With the current system, participants were not well aware of their health conditions and medical information, and they were passive in the use of their medical information and treatment. However, they wanted their medical information for several reasons, such as information sharing and managing their health conditions. FirstER provided participants with their needed information and an easy way to access it. The mean System Usability Scale (SUS) value was 67.1 (SD 13.8), which was considered very near to acceptable. CONCLUSIONS: This study is the first to implement mPHRs in the emergency department of large tertiary hospitals in the Republic of Korea. FirstER was found to enhance user experience in emergencies, as it provided necessary medical information and proper user experience. Moreover, the average SUS was 67.1, which means that participants found FirstER to be very near to acceptable. This is very encouraging in that FirstER was developed within a very short time, and it was a pilot study. TRIAL REGISTRATION: Clinicaltrials.gov NCT04180618; https://clinicaltrials.gov/ct2/show/NCT04180618.

Ontological representation, classification and data-driven computing of phenotypes.

BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the recruitment of participants for clinical and epidemiological studies. The development of computable phenotype algorithms to solve these tasks is a challenging problem, caused by various reasons. Firstly, the term 'phenotype' has no generally agreed definition and its meaning depends on context. Secondly, the phenotypes are most commonly specified as non-computable descriptive documents. Recent attempts have shown that ontologies are a suitable way to handle phenotypes and that they can support clinical research and decision making. The SMITH Consortium is dedicated to rapidly establish an integrative medical informatics framework to provide physicians with the best available data and knowledge and enable innovative use of healthcare data for research and treatment optimisation. In the context of a methodological use case 'phenotype pipeline' (PheP), a technology to automatically generate phenotype classifications and annotations based on electronic health records (EHR) is developed. A large series of phenotype algorithms will be implemented. This implies that for each algorithm a classification scheme and its input variables have to be defined. Furthermore, a phenotype engine is required to evaluate and execute developed algorithms. RESULTS: In this article, we present a Core Ontology of Phenotypes (COP) and the software Phenotype Manager (PhenoMan), which implements a novel ontology-based method to model, classify and compute phenotypes from already available data. Our solution includes an enhanced iterative reasoning process combining classification tasks with mathematical calculations at runtime. The ontology as well as the reasoning method were successfully evaluated with selected phenotypes including SOFA score, socio-economic status, body surface area and WHO BMI classification based on available medical data. CONCLUSIONS: We developed a novel ontology-based method to model phenotypes of living beings with the aim of automated phenotype reasoning based on available data. This new approach can be used in clinical context, e.g., for supporting the diagnostic process, evaluating risk factors, and recruiting appropriate participants for clinical and epidemiological studies.

The Role of Dementia as Cause of Death: Certifiers' Opinions versus Automated Coding.

BACKGROUND: Dementia is a major cause of death in many countries today. The way in which countries code causes of death determines the occurrence of dementia in statistics. The change over from manual to automated coding is accompanied by a 7-19% increase in the occurrence of dementia as the underlying cause of death. Because of this sudden change, researchers, physicians, policy makers, and press question the validity of the outcome of automated coding. Therefore, the role of dementia as a cause of death was investigated. METHODS: A questionnaire was sent to a random sample of 700 certifiers who mentioned "dementia" on a death certificate in the second half of 2017. They were asked questions about the role of dementia as a cause of death. For each certificate, the opinion of the certifier was compared with the outcome of automated coding. RESULTS: A response of 65% (n = 446) was obtained. The automated coding system selected dementia as the underlying cause of death 9.5% points (95% CI: 5.8-14.4%) more often than the certifier would do. This finding in the sample corresponded to an overestimation of dementia in the cause-of-death statistics with 22.7% (95% CI: 18-28%). Main reason for this overestimation was the selection of dementia as the underlying cause of death by the automated coding system, while it was noted as the contributory cause of death on part 2 of the death certificate by the certifier. CONCLUSION: For international comparisons of data on dementia as a cause of death, the outcome of automated coding can be used as the system adheres to international (ICD-10) guidelines and reduces coding variations in and between countries. However, for interpreting the local (national) impact of dementia as a cause of death, the opinion of the certifier should be taken into account.

Hospital adoption of electronic health record functions to support age-friendly care: results from a national survey.

OBJECTIVE: To measure US hospitals' adoption of electronic health record (EHR) functions that support care for older adults, focusing on structured documentation of the 4Ms (What Matters, Medication, Mentation, and Mobility) and electronic health information exchange/communication with patients, caregivers, and long-term care providers. MATERIALS AND METHODS: In an online survey of a national, random sample of 797 US acute-care hospitals in 2018-2019, 479 (60.1%) responded. We calculated nationally representative measures of the percentages of hospitals with EHRs that include structured documentation of the 4Ms and exchange/communications functions. RESULTS: Structured EHR documentation of the 4Ms was fully implemented in at least 1 unit in 64.0% of hospitals and across all units in 41.5% of hospitals. Of the 4Ms, structured documentation was the highest for medications (91.3% in at least 1 unit) and the lowest for mentation (70.3% in at least 1 unit). All exchange/communication functions had been implemented in at least 1 unit in 16.2% of facilities and across all units in 7.6% of hospitals. Less than half of the hospitals had an EHR portal for long-term care facilities to access hospital information (45.4% in at least 1 unit), sent information electronically to long-term care facilities (44.6%), and had training for adults/caregivers on the patient portal (32.1%). DISCUSSION: Despite significant national investment in EHRs, hospital EHRs do not yet include key documentation, exchange, and communication functions needed to support evidence-based care for the older adults who comprise the majority of the inpatient population. Additional policy efforts are likely needed to promote the expansion of EHR capabilities into these high-value domains. CONCLUSIONS: US acute-care hospital EHRs are lacking key functions that support care for older adults.

Electronic Patient Portal Use in Orthopaedic Surgery Is Associated with Disparities, Improved Satisfaction, and Lower No-Show Rates.

BACKGROUND: Electronic patient portal (EPP) use has been associated with a number of benefits in the internal medicine setting. Few studies have examined the disparities in and the benefits of EPP utilization among surgical patients. The purposes of this study were to examine factors associated with EPP use among patients undergoing an orthopaedic surgical procedure and to determine if EPP use is associated with improved outcomes or satisfaction after orthopaedic surgical procedures. METHODS: We queried all patients undergoing an orthopaedic surgical procedure from May 2015 to December 2018 at 2 academic medical centers in an integrated hospital system. Patient demographic characteristics, operative characteristics, satisfaction scores, and patient-reported outcome measures (PROMs) were collected. Multivariable logistic regression was used to identify disparities in EPP use. Adjusted logistic and linear regressions were then used to assess the association between EPP use and the various outcome metrics while controlling for confounders identified in the previous analysis. RESULTS: Numerous demographic factors were independently associated with EPP use among patients undergoing an orthopaedic surgical procedure, including English speakers compared with non-English speakers (odds ratio [OR], 2.37 [95% confidence interval (CI), 2.01 to 2.79]); African-American or black race (OR, 0.42 [95% CI, 0.36 to 0.48]) and Hispanic race (OR, 0.52 [95% CI, 0.44 to 0.61]) compared with white race; college education compared with high school education (OR, 2.30 [95% CI, 2.12 to 2.49]); and a surgical procedure for orthopaedic trauma compared with that for the hand or upper extremity (OR, 0.51 [95% CI, 0.45 to 0.58]) (p < 0.001 for all), among others. EPP use was independently associated with the increased likelihood of completing a PROM (OR, 1.57 [95% CI, 1.45 to 1.7]) and a satisfaction survey (OR, 2.38 [95% CI, 2.17 to 2.61]) and improved overall patient satisfaction (mean difference, 2.61 points [95% CI, 1.79 to 3.43 points]) (p < 0.001 for all). Finally, EPP use was independently associated with lower mean no-show rates (6.8% [95% CI, 6.4% to 7.2%] compared with 9.3% [95% CI, 8.9% to 9.7%]). The lower no-show rate for EPP users corresponded to an estimated $218,225 in savings for our institution within the first postoperative year. CONCLUSIONS: This study identified significant disparities in EPP use among patients undergoing an orthopaedic surgical procedure. Given that EPP use was independently associated with lower no-show rates and improved patient satisfaction among patients undergoing an orthopaedic procedure, efforts to reduce these disparities are warranted. CLINICAL RELEVANCE: EPPs are increasingly being used by health-care systems to improve communication between providers and patients; however, providers should be aware of and strive to eliminate disparities in EPP utilization among orthopaedic patients. Within orthopaedic surgery, EPPs are associated with a number of benefits, including lower no-show rates and increased patient satisfaction.

Assessment of actionable findings in radiology reports.

PURPOSE: The American College of Radiology (ACR) Actionable Reporting Work Group defined three categories of imaging findings that require additional, nonroutine communication with the referring physician because of their urgency or unexpectedness. The objective of this study was to determine the prevalence of actionable findings in radiology reports, and to assess how well radiologists agree on the categorisation of actionable findings. METHOD: From 124,909 consecutive radiology reports stored in the electronic health record system of a large university hospital, 1000 reports were randomly selected. Two radiologists independently annotated all actionable findings according to the three categories of urgency defined by the ACR Work Group. Annotation differences were resolved in a consensus meeting and a final category was established for each report. Interannotator agreement was measured by accuracy and the kappa coefficient. RESULTS: The prevalence of the three categories of actionable findings together was 32.5 %. Of all reports, 10.9 % were from patients seen in the emergency department. Prevalence of actionable findings for these patients (45.9 %) was considerably higher than for patients in routine clinical care (30.9 %). Interannotator agreement scores on the categorisation of actionable findings were 0.812 for accuracy and 0.616 for kappa coefficient. CONCLUSIONS: The prevalence of actionable findings in radiology reports is high. The interannotator agreement scores are moderate, indicating that categorisation of actionable findings is a difficult task. To avoid unneeded increase in the workload of radiologists, in particular in routine practice, clinical context may need to be considered in deciding whether a finding is actionable.

Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.

OBJECTIVE: In 2009, a prominent national report stated that 9% of US hospitals had adopted a "basic" electronic health record (EHR) system. This statistic was widely cited and became a memetic anchor point for EHR adoption at the dawn of HITECH. However, its calculation relies on specific treatment of the data; alternative approaches may have led to a different sense of US hospitals' EHR adoption and different subsequent public policy. MATERIALS AND METHODS: We reanalyzed the 2008 American Heart Association Information Technology supplement and complementary sources to produce a range of estimates of EHR adoption. Estimates included the mean and median number of EHR functionalities adopted, figures derived from an item response theory-based approach, and alternative estimates from the published literature. We then plotted an alternative definition of national progress toward hospital EHR adoption from 2008 to 2018. RESULTS: By 2008, 73% of hospitals had begun the transition to an EHR, and the majority of hospitals had adopted at least 6 of the 10 functionalities of a basic system. In the aggregate, national progress toward basic EHR adoption was 58% complete, and, when accounting for measurement error, we estimate that 30% of hospitals may have adopted a basic EHR. DISCUSSION: The approach used to develop the 9% figure resulted in an estimate at the extreme lower bound of what could be derived from the available data and likely did not reflect hospitals' overall progress in EHR adoption. CONCLUSION: The memetic 9% figure shaped nationwide thinking and policy making about EHR adoption; alternative representations of the data may have led to different policy.

[Trends in excess male mortality in the working age population in a region with the highest mortality rates in Poland]. / Trendy nadumieralnosci mezczyzn w wieku produkcyjnym w województwie o najwyzszych wspólczynnikach zgonów w Polsce.

BACKGROUND: The intensity of premature deaths in the Lódz region in 2014 amounted to 40 per 10 000, and was the highest in the country (the average rate for Poland was 32). Excess mortality of men aged <65 continues to be a major medical and social problem. The aim of the study is to analyze time trends of excess male mortality in the working age population in the Lódz region, both in general and due to the most important causes of deaths. MATERIAL AND METHODS: The research material consists of information on 144 589 deaths of the Lódz region inhabitants aged 20-64 in 1999-2014. Crude and standardized mortality rates were calculated, as well as excess male mortality rates both in general and by cause of death. Standardization was carried out using the direct method according to the standard European population. A study of time trends was performed with the use of the joinpoint regression analysis. Average annual percentage rates of changes were estimated. RESULTS: The excess mortality rate of men at the productive age decreased from 2.9 to 2.8 in the Lódz region in 1999-2014. The most important causes of death among men aged 20-64 in 2014 were (rates per 10 000): cardiovascular diseases (19.1), malignant neoplasms (16.6) and external causes of death (12.3). Among women, the most significant were malignant neoplasms (11.1), cardiovascular diseases (5.1) and diseases of the digestive system (2.1). The excess mortality rate of men aged 20-64 in the analyzed period reached the highest values due to external causes of death (5.1-7.3) and cardiovascular diseases (3.0-3.7). The highest rate of the decline in excess male mortality in 1999-2014 was recorded due to malignant neoplasms, on average 1.4% per year (p < 0.05). Meanwhile, the fastest growth concerned external causes of death, on average 1.0% per year (p < 0.05). CONCLUSIONS: Despite the decline in the mortality rates among both sexes, excess male mortality due to external causes of death and cardiovascular diseases increased. Med Pr. 2020;71(3):325-35.

Registro de sobrepeso y obesidad como problema de salud por pediatras de cabecera en una historia clínica electrónica / Recording of overweight and obesity as a health problem by primary care pediatricians in an electronic medical record

Introducción. El subdiagnóstico y subregistro de sobrepeso y obesidad en pediatría es muy frecuente. El uso de una historia clínica electrónica podría contribuir favorablemente. El objetivo fue conocer el porcentaje de registro de este problema por pediatras de cabecera y analizar si se asociaba con la realización de estudios complementarios.Métodos. Estudio de corte transversal. Se evaluó el registro del problema en pacientes pediátricos con sobrepeso y obesidad, y la presencia de resultados de glucemia, triglicéridos y colesterol de alta densidad en pacientes obesos.Resultados. Se analizaron 7471 pacientes con sobrepeso y obesidad; el registro adecuado del problema fue del 19 %. El 44 % de los obesos (n = 1957) tenía registro adecuado y el 32 %, resultados de laboratorio, con asociación significativa entre variables.Conclusiones. Los porcentajes de registro de sobrepeso y obesidad y realización de estudios complementarios fueron bajos. El registro del problema se asoció a mayor solicitud de estudios

Introduction. Under-diagnosis and under-recording of overweight and obesity in pediatrics is very common. Using an electronic medical record may be helpful. The objective was to establish the percentage of recording of this problem by primary care pediatricians and analyze if it was associated with the performance of ancillary tests.Methods. Cross-sectional study. The recording of this problem among overweight and obese pediatric patients and the presence of blood glucose, triglycerides, and high-density lipoprotein cholesterol results in obese patients were assessed.Results. A total of 7471 overweight and obese patients were included; this health problem was adequately recorded in only 19 %. Among all obese patients (n = 1957), 44 % had adequate recording of this health problem; 32 % had lab test results showing a significant association among outcome measures.Conclusions. The percentage of overweight and obesity recording and ancillary test performance was low. Recording was associated with a higher level of test ordering

Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma.

PURPOSE: The aim of this study was to develop an open-source natural language processing (NLP) pipeline for text mining of medical information from clinical reports. We also aimed to provide insight into why certain variables or reports are more suitable for clinical text mining than others. MATERIALS AND METHODS: Various NLP models were developed to extract 15 radiologic characteristics from free-text radiology reports for patients with glioblastoma. Ten-fold cross-validation was used to optimize the hyperparameter settings and estimate model performance. We examined how model performance was associated with quantitative attributes of the radiologic characteristics and reports. RESULTS: In total, 562 unique brain magnetic resonance imaging reports were retrieved. NLP extracted 15 radiologic characteristics with high to excellent discrimination (area under the curve, 0.82 to 0.98) and accuracy (78.6% to 96.6%). Model performance was correlated with the inter-rater agreement of the manually provided labels (ρ = 0.904; P < .001) but not with the frequency distribution of the variables of interest (ρ = 0.179; P = .52). All variables labeled with a near perfect inter-rater agreement were classified with excellent performance (area under the curve > 0.95). Excellent performance could be achieved for variables with only 50 to 100 observations in the minority group and class imbalances up to a 9:1 ratio. Report-level classification accuracy was not associated with the number of words or the vocabulary size in the distinct text documents. CONCLUSION: This study provides an open-source NLP pipeline that allows for text mining of narratively written clinical reports. Small sample sizes and class imbalance should not be considered as absolute contraindications for text mining in clinical research. However, future studies should report measures of inter-rater agreement whenever ground truth is based on a consensus label and use this measure to identify clinical variables eligible for text mining.

Risk of self-harm after the diagnosis of psychiatric disorders in Hong Kong, 2000-10: a nested case-control study.

BACKGROUND: Psychiatric disorders are established risk factors for self-harm. However, variation in the risk of self-harm by specific psychiatric disorder and stratified by gender and age is rarely examined in population-representative samples. This study aimed to investigate the risk of self-harm following diagnosis of different psychiatric disorders in an Asian population, through a review of inpatient records retrieved from the Hong Kong Clinical Data Analysis and Reporting System (CDARS). METHODS: For this nested case-control study, the inpatient data of people admitted for any reason to Hong Kong public hospitals, between Jan 1, 2000, and Dec 31, 2010, were extracted from CDARS. Cases were people aged 10 years or older who had been admitted to inpatient care with a first-listed record of psychiatric disorder during the study period. The seven psychiatric disorders of interest were: depression, alcohol misuse or dependence, personality disorders, bipolar disorders, anxiety disorders, schizophrenia, and substance misuse or dependence. Two control patients were matched per case from a subsample of all individuals with the same gender, age, and admission time (ie, same calendar year and month), who did not have any record of the psychiatric disorders of interest. Any patients with a history of self-harm diagnosis before, or at the same time as, the first diagnosis of psychiatric disorder (cases) or admission (controls), were excluded. For each diagnostic category, a Cox proportional hazard regression model was fitted to estimate the adjusted hazard ratio (HR; plus 95% CIs) of associated self-harm, adjusting for gender, age, control-matched admission time, 20 districts of residence, physical comorbidities established as risk factors for self-harm (diabetes, asthma, migraine, epilepsy, HIV, and cancer), and presence of the six other psychiatric disorders. We repeated this analysis in subgroups stratified by gender (male and female) and by age (adolescent, 10-24 years; young adult, 25-44 years; middle-aged, 45-64 years; and older people, ≥65 years). FINDINGS: Between 2000 and 2010, we followed up a cohort of 86 353 people with a first-recorded diagnosis of a psychiatric disorder of interest, and 134 857 matched controls. The highest risk of self-harm was observed in patients with substance misuse or dependence (adjusted HR vs matched controls, 9·6 [95% CI 8·4-11·0]), followed by those with personality disorders (3·7 [2·8-4·9]) and alcohol misuse or dependence (3·2 [2·9-3·7]). When stratified by gender and age, the highest risk of self-harm behaviour was found in the substance misuse or dependence group for both genders (for female patients: adjusted HR vs matched controls, 7·7 [6·0-9·8]; and for male patients, 10·5 [8·9-12·4]), and for all age groups (adolescent: 9·6 [7·2-12·7]; young adults: 10·2 [8·4-12·3]; middle-aged: 11·2 [8·0-15·6], and older people: 3·2 [1·7-6·1]). INTERPRETATION: First-recorded diagnoses of psychiatric disorders were significantly associated with an elevated risk of subsequent self-harm. The associations varied considerably by diagnostic categories across gender and age subgroups. Our findings highlight the need to develop more efficient and targeted preventive measures in psychiatric care management, with specific attention to demographic characteristics linked to increased risk within the same diagnostic category. FUNDING: None.

[Are studies of claims databases reproducible? The hypothesis of an instituted ethical misconduct in public health]. / Les études portant sur les bases de données médico-administratives sont-elles reproductibles ? - L'hypothèse d'une inconduite éthique en santé publique.

Methodological reproducibility refers to the ability to reproduce exactly the same results by reproducing the same study protocol on the same data. The aim of this study was to assess the methodological reproducibility of studies published in the Revue d'Epidémiologie et de Santé Publique between 2008 and 2017 and using data from the national health data system. Our results suggest that only 49% of the studies could be replicated without the help of the authors. The results may reveal a lack of concern about the purpose of public health research. It is difficult to attribute responsibility for this default of reproducibility solely to researchers, so we hypothesize an instituted ethical misconduct.

TITLE: Les études portant sur les bases de données médico-administratives sont-elles reproductibles ? - L'hypothèse d'une inconduite éthique en santé publique. ABSTRACT: La reproductibilité méthodologique fait référence à la capacité à obtenir exactement les mêmes résultats, en reproduisant le même protocole d'étude sur les mêmes données. Nous avons voulu évaluer la reproductibilité méthodologique des études publiées entre 2008 et 2017 dans la Revue d'épidémiologie et de santé publique, qui font appel à des données issues du système national des données de santé. Nos résultats suggèrent que seules 49 % des études portant sur ce système national pourraient être reproduites sans le recours aux auteurs initiaux. L'absence de partage systématique des programmes peut révéler un manque de préoccupation quant à la finalité de la recherche en santé publique. Il est difficile d'attribuer la responsabilité de ce manque de reproductibilité aux seuls chercheurs, et nous faisons donc l'hypothèse d'une inconduite éthique instituée.

The experience and challenges of healthcare-reform-driven medical consortia and Regional Health Information Technologies in China: A longitudinal study.

OBJECTIVE: To achieve universal access to medical resources-a partial goal of the second ambitious health reform since 2010-the Chinese government aimed to build a regional medical consortium and enhance the efficiency of health information exchange (HIE). We analyzed the experience of constructing a medical consortium in Chinese hospitals, which was based on regional health information technology (RHIT) promoted by HIE. METHOD: In this longitudinal study, we analyzed the results of the annual surveys that were conducted by the China Hospital Information Management Association from 2006 to 2015. The survey results mainly concerned whether hospitals should join the regional medical consortium, the methods used for sharing inter-hospital medical data, and the out-of-hospital information interaction system. The Bass diffusion model was adopted to fit and predict the proportion of Chinese hospitals joining the consortium from 2006 to 2025. RESULT: As of 2015, the survey results of 7272 hospitals were obtained. The proportion of hospitals in partnership systems increased from 3.0% in 2007 to 57.2% in 2015. There has been a rapid development in the electronic sharing of medical data between hospitals. The proportion of hospitals that relied solely on paper documents for data interaction decreased from 43.3% in 2011 to 8.0% in 2015. There was a strong positive linear correlation between hospitals joining the consortium and the accessibility of electronic medical data exchange within hospitals (r = 0.925). The proportions of hospitals that supported dual referral systems and appointments, data browsing between hospitals and regional information systems, and remote consultation services increased to 65.0%, 61.6%, and 81.9% in 2015, as compared to 18.8%, 16.8%, and 10.9% in 2011, respectively. The Bass prediction model showed that the goal of recruiting 90% of the hospitals to the consortium by 2020 will likely be achieved (adjusted R2 = 0.93). CONCLUSION: The Chinese government has applied a top-down, high-level design model to promote the rapid development of a medical consortium, in which the RHIT technologies are crucial technical enabler.

[Quality of the diagnoses' coding (main or associated diagnoses) in the medico-administrative database for psychiatric care (RIM-P) in 2015 and 2016, France]. / 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.

BACKGROUND: Based 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. METHODS: The 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. RESULTS: Between 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. CONCLUSION: This study emphasizes the need for a collective effort to improve the diversity of the diagnoses' coding in the RIM-P.

Adherence to growth hormone (GH) therapy in naïve to treatment GH-deficient children: data of the Italian Cohort from the Easypod Connect Observational Study (ECOS).

BACKGROUND: With the use of non-objective measurement, adherence to growth hormone (GH) therapy has been reported suboptimal in a large proportion of patients, and poor adherence has been shown to affect short-term growth response in patients receiving GH treatment. OBJECTIVE: The Easypod™ electronic device allows objective measurement of adherence. In this study, we report 3-year prospective adherence data of the Italian cohort of naïve GH deficient (GHD) children extrapolated from the Easypod Connect Observational Study (ECOS) database. PATIENTS AND METHODS: Seventy-three GHD children naïve to GH treatment were included in the analysis. 22 Italian centers participated in the study. RESULTS: Mean adherence rate was consistently above 85% across the 3-year observation period. Particularly, mean adherence was 88.5%, 86.6%, and 85.7% after 1, 2 and 3 years, respectively. Mean (± SD) height-SDS increase after the first year was 0.41 (± 0.38). CONCLUSIONS: The majority of naïve GHD children starting GH treatment with Easypod maintained an adherence rate > 85% up to 3 years. Easypod is a useful tool to follow-up patients' adherence allowing timely intervention to improve optimal treatment for these patients.

Validation of non-participation bias methodology based on record-linked Finnish register-based health survey data: a protocol paper.

INTRODUCTION: Decreasing participation levels in health surveys pose a threat to the validity of estimates intended to be representative of their target population. If participants and non-participants differ systematically, the results may be biased. The application of traditional non-response adjustment methods, such as weighting, can fail to correct for such biases, as estimates are typically based on the sociodemographic information available. Therefore, a dedicated methodology to infer on non-participants offers advancement by employing survey data linked to administrative health records, with reference to data on the general population. We aim to validate such a methodology in a register-based setting, where individual-level data on participants and non-participants are available, taking alcohol consumption estimation as the exemplar focus. METHODS AND ANALYSIS: We made use of the selected sample of the Health 2000 survey conducted in Finland and a separate register-based sample of the contemporaneous population, with follow-up until 2012. Finland has nationally representative administrative and health registers available for individual-level record linkage to the Health 2000 survey participants and invited non-participants, and the population sample. By comparing the population sample and the participants, synthetic observations representing the non-participants may be generated, as per the developed methodology. We can compare the distribution of the synthetic non-participants with the true distribution from the register data. Multiple imputation was then used to estimate alcohol consumption based on both the actual and synthetic data for non-participants, and the estimates can be compared to evaluate the methodology's performance. ETHICS AND DISSEMINATION: Ethical approval and access to the Health 2000 survey data and data from administrative and health registers have been given by the Health 2000 Scientific Advisory Board, Statistics Finland and the National Institute for Health and Welfare. The outputs will include two publications in public health and statistical methodology journals and conference presentations.

Highly drug-resistant bacteria: Is intra- and inter-hospital communication optimal?

OBJECTIVES: Communication represents a key component of the control of highly drug-resistant bacteria (HDRB) in healthcare settings. This survey assessed communication strategies developed and adopted in a large hospital network. METHODS: An online survey was sent to 83 infection control specialists working in hospitals of the Pays de la Loire region, France, in June 2016. Internal and external systems of identification and communication of HDRB status (colonized and contact patients) were assessed at the following steps of the hospital pathway: patient admission, during the stay, at discharge, and at readmission. RESULTS: Sixty-one hospitals (73%) participated in the survey: 31 (51%) had recently managed colonized patients and 51 (93%) had recently managed contact patients. At patient admission, 28 (46%) hospitals had an identification system for repatriated patients. During hospital stay, the colonized or contact status was informed in computerized patient records for 47/57 (82%) and 43 (75%) hospitals, respectively. At patient discharge, 56/61 (92%) hospitals declared transmitting the HDRB status to the downstream ward. Twenty-six and 25/60 (43% and 42%) hospitals had an automated alert system at readmission of colonized or contact patients, respectively. This strategy met the expectations of 15/61 (26%) infection control specialists. CONCLUSION: Efforts are still required in terms of communication for HDRB control. Sharing experiences and tools developed by hospitals may be beneficial for the entire hospital network.

A systematic review of methods for determining cross-sectional active medications using pharmacy databases.

PURPOSE: Pharmacy dispensing databases are often used to identify patients' medications at a particular time point, for example to measure prescribing quality or the impact of medication use on clinical outcomes. We performed a systematic review of studies that examined methods to assess medications in use at a specific point in time. METHODS: Comprehensive literature search to identify studies that compared active medications identified using pharmacy databases to medications identified using nonautomated data sources. Two investigators independently reviewed abstracts and full-text material. RESULTS: Of 496 studies screened, 29 studies evaluating 50 comparisons met inclusion criteria. Twenty-nine comparisons evaluated fixed look-back period approaches, defining active medications as those filled in a specified period prior to the index date (range 84-730 days). Fourteen comparisons evaluated medication-on-hand approaches, defining active medications as those for which the most recent fill provided sufficient supply to last through the study index date. Sensitivity ranged from 48% to 93% for fixed look-back period approaches and 35% to 97% for medication-on-hand approaches. Interpretation of comparative performance of methods was limited by use of different reference sources, target medication classes, and databases across studies. In four studies with head-to-head comparisons of these methods, sensitivity of the medication-on-hand approach was a median of 7% lower than the corresponding fixed look-back approach. CONCLUSIONS: The reported accuracy of methods for identifying active medications using pharmacy databases differs greatly across studies. More direct comparisons of common approaches are needed to establish the accuracy of methods within and across populations, medication classes, and databases.

An efficient prototype method to identify and correct misspellings in clinical text.

OBJECTIVE: Misspellings in clinical free text present challenges to natural language processing. With an objective to identify misspellings and their corrections, we developed a prototype spelling analysis method that implements Word2Vec, Levenshtein edit distance constraints, a lexical resource, and corpus term frequencies. We used the prototype method to process two different corpora, surgical pathology reports, and emergency department progress and visit notes, extracted from Veterans Health Administration resources. We evaluated performance by measuring positive predictive value and performing an error analysis of false positive output, using four classifications. We also performed an analysis of spelling errors in each corpus, using common error classifications. RESULTS: In this small-scale study utilizing a total of 76,786 clinical notes, the prototype method achieved positive predictive values of 0.9057 and 0.8979, respectively, for the surgical pathology reports, and emergency department progress and visit notes, in identifying and correcting misspelled words. False positives varied by corpus. Spelling error types were similar among the two corpora, however, the authors of emergency department progress and visit notes made over four times as many errors. Overall, the results of this study suggest that this method could also perform sufficiently in identifying misspellings in other clinical document types.