[The REVELA13 observatory to study new cases of bladder tumor among women living in Bouches-du-Rhône county]. / Rôle de l'observatoire REVELA13 dans l'épidémiologie des tumeurs de vessie des femmes dans les Bouches-du-Rhône.

INTRODUCTION: The REVELA13 observatory is a unique epidemiological tool listing the new cases of kidney tumors, bladder tumors and acute leukaemias in the Bouches-du-Rhône county (France). Aim was to exploit for the first time data from this observatory regarding new cases of bladder tumors≥T1 in women from 2012 to 2014. MATERIALS: This epidemiological study was observational and descriptive. Fifteen non-nominative variables from the REVELA13 database were analyzed in order to describe the clinical and pathological characteristics of the incident cases as well as their spatial and temporal distribution. The incidence rates expressed in new cases per year per 100000 inhabitants were standardized on the world age, calculated with 95 % confidence intervals and compared to national estimates for the same period. RESULTS: Incident bladder tumor cases were recorded in 291 women, corresponding to a standardized incidence on the world age of 3.85 [3.32-4.37] new cases per year per 100,000 population, 54 % higher than the national estimates of 2012 and 2015. Median age of diagnostic was 75.9 years. Sex ratio was 19.41 % (W/M). Tumors were predominantly non-muscle-invasive (52 %), high grade (69 %) and without associated carcinoma in situ (Cis) (49 %). The two most affected territories were Marseille and Aubagne-La Ciotat. CONCLUSION: The REVELA13 observatory has improved our epidemiological knowledge on female bladder tumors in Bouches-du-Rhône county and highlighted a local over incidence. LEVEL OF EVIDENCE: 3.

[Who will kick off the digital transformation of health?] / Qui initiera la transformation digitale de la santé?

Over the past few years, numerous medical digital initiatives have blossomed, displaying tangible signs of efficacy in improving, for example, medication adherence or lifestyle. Such patient-centered solutions free themselves, at least conceptually, from the silos between the major players in healthcare (pharmaceutical industry, health authorities, hospitals, payers). The lack of a global rethinking of patient care has resulted in structural fragility. This could provide fertile ground for the arrival of players from the digital world, called "pure players", who could radically rethink and disrupt business models by proposing personalized digital solutions based on patients' needs. Thus, in the management of chronic disease, such as cardiovascular disease or type 2 diabetes, "pure players" could bring about a paradigm shift via a commitment to achieve results which are driven by real-world outcome assessment rather than being means-driven.

Assessment of US Hospital Compliance With Regulations for Patients' Requests for Medical Records.

Importance: Although federal law has long promoted patients' access to their protected health information, this access remains limited. Previous studies have demonstrated some issues in requesting release of medical records, but, to date, there has been no comprehensive review of the challenges that exist in all aspects of the request process. Objective: To evaluate the current state of medical records request processes of US hospitals in terms of compliance with federal and state regulations and ease of patient access. Design, Setting, and Participants: A cross-sectional study of medical records request processes was conducted between August 1 and December 7, 2017, in 83 top-ranked US hospitals with independent medical records request processes and medical records departments reachable by telephone. Hospitals were ranked as the top 20 hospitals for each of the 16 adult specialties in the 2016-2017 US News & World Report Best Hospitals National Rankings. Exposures: Scripted interview with medical records departments in a single-blind, simulated patient experience. Main Outcomes and Measures: Requestable information (entire medical record, laboratory test results, medical history and results of physical examination, discharge summaries, consultation reports, physician orders, and other), formats of release (pick up in person, mail, fax, email, CD, and online patient portal), costs, and request processing times, identified on medical records release authorization forms and through telephone calls with medical records departments. Results: Among the 83 top-ranked US hospitals representing 29 states, there was discordance between information provided on authorization forms and that obtained from the simulated patient telephone calls in terms of requestable information, formats of release, and costs. On the forms, as few as 9 hospitals (11%) provided the option of selecting 1 of the categories of information and only 44 hospitals (53%) provided patients the option to acquire the entire medical record. On telephone calls, all 83 hospitals stated that they were able to release entire medical records to patients. There were discrepancies in information given in telephone calls vs on the forms between the formats hospitals stated that they could use to release information (69 [83%] vs 40 [48%] for pick up in person, 20 [24%] vs 14 [17%] for fax, 39 [47%] vs 27 [33%] for email, 55 [66%] vs 35 [42%] for CD, and 21 [25%] vs 33 [40%] for online patient portals), additionally demonstrating noncompliance with federal regulations in refusing to provide records in the format requested by the patient. There were 48 hospitals that had costs of release (as much as $541.50 for a 200-page record) above the federal recommendation of $6.50 for electronically maintained records. At least 6 of the hospitals (7%) were noncompliant with state requirements for processing times. Conclusions and Relevance: The study revealed that there are discrepancies in the information provided to patients regarding the medical records release processes and noncompliance with federal and state regulations and recommendations. Policies focused on improving patient access may require stricter enforcement to ensure more transparent and less burdensome medical records request processes for patients.

Quantifying severe urinary complications after radical prostatectomy: the development and validation of a surgical performance indicator using hospital administrative data.

OBJECTIVES: To develop and validate a surgical performance indicator based on severe urinary complications that require an intervention within 2 years of radical prostatectomy (RP), identified in hospital administrative data. PATIENTS AND METHODS: Men who underwent RP between 2008 and 2012 in England were identified using hospital administrative data. A transparent coding framework based on procedure codes was developed to identify severe urinary complications which were grouped into 'stricture', 'incontinence' and 'other'. Their validity as a performance indicator was assessed by evaluating the consistency with diagnosis codes and association with patient and surgical characteristics. Kaplan-Meier methods were used to assess time to first occurrence and multivariable logistic regression was used to estimate adjusted odds ratios (ORs) for patient and surgical characteristics. RESULTS: A total of 17 299 men were included, of whom 2695 (15.6%) experienced at least one severe urinary complication within 2 years. High proportions of men with a complication had relevant diagnosis codes: 86% for strictures and 93% for incontinence. Urinary complications were more common in men from poorer socio-economic backgrounds (OR comparing lowest with highest quintile: 1.45; 95% confidence interval [CI] 1.26-1.67) and in those with prolonged length of hospital stay (OR 1.54, 95% CI 1.40-1.69), and were less common in men who underwent robot-assisted surgery (OR 0.65, 95% CI 0.58-0.74). CONCLUSION: These results show that severe urinary complications identified in administrative data provide a medium-term performance indicator after RP. They can be used for research assessing outcomes of treatment methods and for service evaluation comparing performance of prostate cancer surgery providers.

Avaliação do perfil periodontal dos pacientes atendidos na Faculdade de Odontologia da Unievangélica / Periodontal assessment profile of patients treated in the College of Dentistry UniEVANGÉLICA / Periodontal assessment profile of patients treated in the College of Dentistry UniEVANGÉLICA

INTRODUÇÃO: A Doença Periodontal é caracterizada por uma doença infecciosa resultante da inflamação dos tecidos de suporte e do tecido de revestimento dos dentes. Esta pode ser classificada em: gengivite quando compromete o periodonto de proteção e periodontite que acomete os tecidos de inserção. OBJETIVO: Este estudo teve como objetivo verificar o perfil periodontal dos pacientes atendidos na Faculdade de Odontologia da UniEVANGÉLICA, Anápolis- GO. MATERIAL E MÉTODO: Esta pesquisa documental descritiva retrospectiva avaliou prontuários de pacientes atendidos na clínica da Faculdade de Odontologia da UniEVANGÉLICA no período de 2009 a 2014. Nos prontuários foram analisados principalmente o Registro Periodontal Simplificado (PSR), a classificação da doença periodontal e o periograma dos pacientes que apresentaram periodontite. RESULTADOS: Dentre os 233 prontuários, 68% (n = 158) eram mulheres, 33,05% (n = 77) tinham entre 40 e 50 anos e 21% (n = 51) eram fumantes. Destes, 55 % (n = 129) possuíam gengivite e 45% (n=104) periodontite. Dos pacientes com periodontite, a Crônica Localizada foi constatada em 48% (n = 50), a Crônica Generalizada em 40% (n = 42), enquanto as Agressivas Localizada e Generalizada foram encontradas em 7% (n = 7) e 5% (n = 5) respectivamente. Pelos dados do PSR, pode-se observar que 49% (n = 114) apresentaram o código asterisco. CONCLUSÃO: De acordo com os resultados obtidos nesta pesquisa, pode-se notar uma prevalência de pacientes do gênero feminino e a gengivite foi a doença periodontal mais prevalente seguida pela periodontite crônica localizada.

INTRODUCTION: The Periodontal Disease is characterized by an infectious disease resulted from the inflammation of covering tissues (gingivitis) and/or of the support tissue (periodontitis) of teeth. OBJECTIVE: The objective of this study was to verify the periodontal profile of the patients attended at UniEVANGÉLICA’S Dental School. MATERIAL AND METHOD: This is a descriptive documental and retrospective research that evaluated the records of the patients that were attended at UniEvangélica’s Dental School clinic from 2009 to 2014. The Periodontal Screening and Record (PSR), the periodontal disease’s classification and the periodontal chart of the patients that presented periodontitis were the main analysis performed from the records. RESULTS: Among the 233 records, 68% (n=158) were women, 33,05% (n=77) among 40 to 50 years old and 21% (n=51) were smokers. Among these, 55% (n=129) presented gingivitis, from the patients with periodontitis, 48% (n=50) were diagnosed with the Localized Chronic periodontitis, 40% (n=42) with the Generalized Chronic, while 7% (n=7) and 5% (n=5) had the Aggressive Localized and the Generalized Periodontitis, respectively. Through the PSR data, it was noticed that 49% (n=114) presented the asterisk code. CONCLUSION: According to the results of this research, a female prevalence could be noticed and the gingivitis was the most prevalent periodontal disease, followed by the Localized Chronic Periodontitis

Variability in home mechanical ventilation prescription.

INTRODUCTION: Few studies have analyzed the prevalence and accessibility of home mechanical ventilation (HMV). The aim of this study was to characterize the prevalence of HMV and variability in prescriptions from administrative data. METHODS: Prescribing rates of HMV in the 37 healthcare sectors of the Catalan Health Service were compared from billing data from 2008 to 2011. Crude accumulated activity rates (per 100,000 population) were calculated using systematic component of variation (SCV) and empirical Bayes (EB) methods. Standardized activity ratios (SAR) were described using a map of healthcare sectors. RESULTS: A crude rate of 23 HMV prescriptions per 100,000 population was observed. Rates increase with age and have increased by 39%. Statistics measuring variation not due to chance show a high variation in women (CSV=0.20 and EB=0.30) and in men (CSV=0.21 and EB=0.40), and were constant over time. In a multilevel Poisson model, hospitals with a chest unit were associated with a greater number of cases (beta=0.68, P<.0001). CONCLUSIONS: High variability in prescribing HMV can be explained, in part, by the attitude of professionals towards treatment and accessibility to specialist centers with a chest unit. Analysis of administrative data and variability mapping help identify unexplained variations and, in the absence of systematic records, are a feasible way of tracking treatment.

Defining care products to finance health care in the Netherlands.

A case-mix project started in the Netherlands with the primary goal to define a complete set of health care products for hospitals. The definition of the product structure was completed 4 years later. The results are currently being used for billing purposes. This paper focuses on the methodology and techniques that were developed and applied in order to define the casemix product structure. The central research question was how to develop a manageable product structure, i.e., a limited set of hospital products, with acceptable cost homogeneity. For this purpose, a data warehouse with approximately 1.5 million patient records from 27 hospitals was build up over a period of 3 years. The data associated with each patient consist of a large number of a priori independent parameters describing the resource utilization in different stages of the treatment process, e.g., activities in the operating theatre, the lab and the radiology department. Because of the complexity of the database, it was necessary to apply advanced data analysis techniques. The full analyses process that starts from the database and ends up with a product definition consists of four basic analyses steps. Each of these steps has revealed interesting insights. This paper describes each step in some detail and presents the major results of each step. The result consists of 687 product groups for 24 medical specialties used for billing purposes.

How accurate is ICD coding for epilepsy?

PURPOSE: Assess the validity of ICD-9-CM and ICD-10 epilepsy coding from an emergency visit (ER) and a hospital discharge abstract database (DAD). METHODS: Two separate sources of patient records were reviewed and validated. (1) Charts of patients admitted to our seizure monitoring unit over 2 years (n = 127, ICD-10 coded records) were reviewed. Sensitivity (Sn), specificity (Sp), and positive and negative predictive values (PPV and NPV) were calculated. (2) Random sample of charts for patients seen in the ER or admitted to hospital under any services, and whose charts were coded with epilepsy or an epilepsy-like condition, were reviewed. Two time-periods were selected to allow validation of both ICD-9-CM (n = 486) and ICD-10 coded (n = 454) records. Only PPV and NPV were calculated for these records. All charts were reviewed by two physicians to confirm the presence/absence of epilepsy and compare to administrative coding. RESULTS: Sample 1: Sn, Sp, PPV, and NPV of ICD-10 epilepsy coding from the seizure monitoring unit (SMU) chart review were 99%, 70%, 85%, and 97% respectively. Sample 2: The PPV and NPV for ICD-9-CM coding from the ER database were, respectively, 99% and 97% and from the DAD were 98% and 99%. The PPV and NPV for ICD-10 coding from the ER database were, respectively, 100% and 90% and from the DAD were 98% and 99%. The epilepsy subtypes grand mal status and partial epilepsy with complex partial seizures both had PPVs >75% (ICD-9-CM and ICD-10 data). DISCUSSION: Administrative emergency and hospital discharge data have high epilepsy coding validity overall in our health region.

Getting up to code. While some wait for vendors to save them from ICD-10, savvy CIOs are taking the reins early.

For mandates, a passing grade is good enough--don't over-do. Alert the CEO early, but wait for a plan before going to the Board. Partner with end-user departments. Don't rely on your vendor to prepare for government mandates. Utilize information from CHIME, AHIMA and peers.

Release of information: are hospitals taking a hit?

Outsourcing release-of-information requests helps hospitals alleviate administrative and compliance burdens and expense. Recently, state lawmakers have begun to draft legislation reducing the maximum fee that may be charged for copies of electronically stored records. The reduced fees may not cover expenses. If such legislation makes it difficult for outsourcing companies to make a profit from this service, hospitals ultimately could bear the expense and risk.

HIM jobs of tomorrow.

Tomorrow's HIM jobs are arriving today, as technology transforms how we capture, manage, and use information. Following are 11 jobs that represent evolving roles and emerging opportunities. Some are familiar roles with a new twist. Others are new roles, and some are possibilities. All are opportunities for HIM professionals to use their core competencies in new ways and move into positions that have not been thought of as career tracks for HIM.

Gastroenterology in Italian clinical practice. The RING Study: six years' data from gastroenterology departments.

AIM: Computer systems in hospitals provide information on the work of each single operative unit and the complexity of its caselist. However, in Italy, there is no official data-base for Gastroenterology Departments, to summarize their work. METHODS: The RING (Ricerca-INformatizzata-in-Gastroenterologia) study has collected, through a software made on purpose, 113 237 hospital discharge files (HDF) from 55 Italian hospital Gastroenterology Units, since 2001. This caselist provides a picture of the patients and is useful for clinical/management evaluation. RESULTS: Between January 2001 and December 2006, 55 Gastroenterology Units gathered 88240 HDF referring to ''ordinary admissions''. The male:female rate was 1:1, mean age was 61.3+/-18.5 years. Mean hospital stay was around eight days. Over the years there was a significant drop in DRG183 (miscellaneous digestive disorders-without complications) from 11.5% to 7.4% (P<0.0001), with no similar increase in DRG182 (with complications) which rose from 3.1% to 4.0%. Principal discharge diagnoses are post-hepatic and alcohol-related cirrhosis, hepatocarcinoma, acute pancreatitis, duodenal/gastric ulcer. CONCLUSIONS: The RING data show that the gastroenterologist has been working increasingly with patients whose pathologies would have been ''inappropriately'' treated surgically (DRGs 204 and 174). Inappropriate gastroenterological treatment seems to have decreased as well as the DRG183 with no apparent ''opportunistic'' compensatory increase in DRGs with complications, such as 182.

Organisational factors affecting the quality of hospital clinical coding.

The influence of organisational factors on the quality of hospital coding using the International Statistical Classification of Diseases and Health Related Problems, 10th Revision, Australian Modification (ICD-10-AM) was investigated using a mixed quantitative-qualitative approach. The organisational variables studied were: hospital specialty; geographical locality; structural characteristics of the coding unit; education, training and resource supports for Clinical Coders; and quality control mechanisms. Baseline data on the hospitals' coding quality, measured by the Performance Indicators for Coding Quality tool, were used as an independent index measure. No differences were found in error rates between rural and metropolitan hospitals, or general and specialist hospitals. Clinical Coder allocation to "general" rather than "specialist" unit coding resulted in fewer errors. Coding Managers reported that coding quality can be improved by: Coders engaging in a variety of role behaviours; improved Coder career opportunities; higher staffing levels; reduced throughput; fewer time constraints on coding outputs and associated work; and increased Coder interactions with medical staff.