Patients’ Knowledge about Prescribed Antipsychotics and Medication Adherence in Schizophrenia: A Cross-Sectional Survey

2017 ◽  
Vol 50 (06) ◽  
pp. 264-269 ◽  
Author(s):  
Nobuhiro Nagai ◽  
Hideaki Tani ◽  
Takefumi Suzuki ◽  
Saeko Ikai ◽  
Philip Gerretsen ◽  
...  
Keyword(s):  
Medication Adherence ◽  
International Classification Of Diseases ◽  
Therapeutic Effects ◽  
Study Medication ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Antipsychotic Medications ◽  
Classification Of Diseases ◽  
Multiple Choice Questionnaire

Abstract Introduction Data on the knowledge about antipsychotic medications prescribed in patients with schizophrenia are very limited. Moreover, it remains unclear how patients’ knowledge about prescribed antipsychotics affects medication adherence. Methods ighty-one Japanese outpatients with schizophrenia according to the International Classification of Diseases, 10th edition, were included. Patients’ knowledge of the primary antipsychotics prescribed to them in terms of therapeutic effects, type, and implicated neurotransmitters was assessed with a multiple-choice questionnaire developed for this study. Medication possession ratios (MPRs) were compared between patients who answered correctly and those who did not in each category. Results The percentages of subjects who answered correctly regarding antipsychotic effects, type, and implicated neurotransmitters were low at 30.9%, 30.9%, and 7.4%, respectively. No differences were found in MPRs between subjects who answered correctly and those who did not. Discussion Our preliminary results indicate that patients lack knowledge about their antipsychotic medications. More concerning, they suggest that knowledge about prescribed antipsychotics may not directly translate into actual medication adherence in patients with schizophrenia.

scholarly journals Identifying multimorbidity patterns of non-communicable diseases in paediatric inpatients: a cross-sectional study in Shanghai, China

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042679
Author(s):  
Ning Chen ◽  
Liang Zhou ◽  
Jiaoling Huang ◽  
Wenya Yu ◽  
Chen Chen ◽  
...  
Keyword(s):  
Communicable Disease ◽  
International Classification Of Diseases ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Classification Of Diseases ◽  
Cluster A ◽  
Pudong New Area ◽  
Non Communicable Disease

ObjectivesTo enhance the understanding of non-communicable disease (NCD) multimorbidity in children who are inpatients by delineating the characteristics of and identifying patterns among paediatric inpatients with multimorbidity in China.DesignCross-sectional study.SettingPaediatric wards (n=17) in Pudong New Area, Shanghai, China.ParticipantsA total of 193 432 paediatric inpatients in the electronic health record systems of 17 hospitals from 2011 to 2016 participated in the study, and 91 004 children with NCDs were extracted and classified based on International Classification of Diseases, 10th version codes.Main outcome measuresNumber of the NCDs and multimorbidity patterns of the paediatric inpatients.ResultsIn total, 47.05% (95% CI 46.83 to 47.27) of the paediatric inpatients had one or more chronic diseases, and 16.30% (95% CI 16.14 to 16.46) had multimorbidity. Congenital anomalies accounted for 19.43% (95% CI 19.25 to 19.61) of the principal diagnoses among the paediatric inpatients. Five common multimorbidity patterns were identified: a neurological-respiratory cluster, a neurological-respiratory-ear cluster, a cardiovascular-circulatory cluster, a genitourinary cluster (boy group) and a musculoskeletal-connective cluster (10–18 years age group).ConclusionsMultimorbidity in paediatric inpatients suggests that decisions about reasonable allocation of paediatric inpatient resources should be fully considered. Multimorbidity patterns in paediatric inpatients revealed that prevention, including innovative treatments targeting children, should be further studied.

scholarly journals Utilização de medicamentos em crianças internadas em um hospital geral

2017 ◽  
Vol 27 (2) ◽  
pp. 25208 ◽  
Author(s):  
Camila Fernandes Martins ◽  
Marcela Fornari Uberti ◽  
Thainá Paola Warpechowski ◽  
Fabiana Schuelter-Trevisol ◽  
Daisson José Trevisol
Keyword(s):  
Hospital Stay ◽  
Anatomical Therapeutic Chemical ◽  
Medication Use ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Cross Sectional ◽  
Central Nervous System Activity ◽  
Classification Of Diseases ◽  
Pediatric Use

*** Medication use in children admitted to a general hospital ***AIMS: To describe the profile of medications used in children admitted to a general hospital.METHODS: A cross-sectional study was conducted with children aged 0 to 12 years, admitted to the Hospital Nossa Senhora da Conceição, in Tubarão, state of Santa Catarina, Brazil, between July 2013 and July 2014. The following data were collected: f age, sex, length of hospital stay, International Classification of Diseases codes for hospitalization, and medications used. The Anatomical Therapeutic Chemical classification system was used for the medications.RESULTS: The medical records of 1,603 children aged up to 12 years were analyzed. The hospital stay ranged from one to 115 days. The number of medications per admission ranged from one to 77, with an average of 9.84 medications per patient. A total of 211 different types of medications were used, most of which were classified as analgesic with central nervous system activity. Tonsillar hypertrophy and adenoid hypertrophy were the most prevalent disorders diagnosed among the 303 different International Classification of Diseases codes found in this study. Seven types of unlicensed medications and 23 drugs with some kind of restriction for pediatric use were prescribed.CONCLUSIONS: The average number of medications was high in hospitalized children, and the prescription of unlicensed drugs and those with some kind of restriction for pediatric use was an important factor. These data suggest poor attention to the risks and benefits of medication use in children – a relevant issue that requires continuous and intensive surveillance by different health professionals .  

scholarly journals Validating Coding for the Identification of Pediatric Treatment Resistant Epilepsy Patients

2021 ◽  
Vol 8 ◽  
pp. 2329048X2110378
Author(s):  
Daniel A. Freedman ◽  
Zachary Grinspan ◽  
Peter Glynn ◽  
Jackson Mittlesteadt ◽  
Alex Dawes ◽  
...  
Keyword(s):  
Refractory Epilepsy ◽  
International Classification Of Diseases ◽  
Cross Sectional Study ◽  
Absence Epilepsy ◽  
Treatment Resistant ◽  
Cross Sectional ◽  
Classification Of Diseases ◽  
Icd Codes ◽  
Pediatric Treatment

The International Classification of Diseases (ICD) system includes sub codes to indicate that an individual with epilepsy is treatment resistant. These codes would be a valuable tool to identify individuals for quality improvement and population health, as well as for recruitment into clinical trials. However, the accuracy of these codes is unclear. We performed a single center cross sectional study to understand the accuracy of ICD codes for treatment resistant epilepsy. We identified 344 individuals, roughly half with treatment resistant epilepsy The ICD code had a sensitivity of 90% (147 of 164) and specificity of 86% (155 of 180). The miscoding of children with refractory epilepsy was attributed to the following reasons: 5 patients had epilepsy surgery, 4 had absence epilepsy, 4 patients were seen by different providers, and 1 patient was most recently seen in movement disorders clinic. ICD codes accurately identify children with treatment resistant epilepsy.

scholarly journals Absenteeism study in a steel industry of São José dos Campos, SP, Brazil

2017 ◽  
Vol 15 (2) ◽  
pp. 124 ◽  
Author(s):  
Isa Azevedo de Almeida Marote ◽  
Dagmar de Paula Queluz
Keyword(s):  
Steel Industry ◽  
Total Duration ◽  
Health Department ◽  
International Classification Of Diseases ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Goods And Services ◽  
Institutional Ethics ◽  
Classification Of Diseases

Aim: To identify the factors involved in absenteeism in a steel industry in the city of São Jose dos Campos, São Paulo, Brazil. Methods: A cross-sectional study was carried out after obtaining permission from Institutional Ethics Committee in a steel industry. Worker's detailed information regarding absenteeism was obtained from the Health Department files, from January 2005 to December 2008. Specifical data were: sex, function, certificate type (medical or dental), the working sector, according to the Large Groups (LG) of Brazilian Classification of Occupations - 2002, working periods, duration of absenteeism (lost days), the main causes of absenteeism (International Classification of Diseases ICD-10). Results: A total of 570 workers were recorded. The majority of workers were males (97%), with medical certificate (97%), LG-7 workers in the production of industrial goods and services (62.09%), and operators of industrial machinery (68.3%) and the working period was Shift 4 - Monday to Friday from 8 am to 12 am and 1 pm to 5 pm (44.43 %). The total duration of absenteeism was 3,187 days, the main causes of diseases being problemas in the musculoskeletal system and connective tissue (18.48%), respiratory diseases (17.11%), injuries, poisoning and other external causes (11.24%), and diseases of the digestive tract (11.24%). Conclusions: It was concluded that there was under-reporting of absenteeism due to dental causes (41 events) during the study period. More studies in this field are required.

scholarly journals Auditing the Accuracy of Medical Diagnostic Coding based on International Classification of Diseases, Tenth Revision

2020 ◽  
Keyword(s):  
Medical Information ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Cross Sectional ◽  
Medical Diagnoses ◽  
Diagnostic Coding ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Medical Diagnostic

Background: Medical diagnostic coding is used for the ease of retrieval and accuracy of medical information classification in health information systems. This information is the main source of decision making for health managers and policymakers in planning, epidemiological, and medical research at different levels. Objectives: The present study aimed to audit the accuracy of the ICD-10 (International Classification of Diseases, Tenth Revision) medical diagnosis code. Materials and Methods: The present cross-sectional study was performed on a sample of 692 hospitalized cases in 9 educational centers affiliated to Shahid Beheshti University of Medical Sciences in the first half of 2020. The content validity of the checklist was determined in this study, and the obtained data were analyzed in SPSS software using descriptive statistics. Results: The average accuracy of coding for the main medical diagnoses across all subjects was 70%, signifying that 30% of medical records contain coding errors. The highest and least accuracy values of diagnostic coding were 80% and 47%, respectively. The application of standard abbreviations and file legibility were recognized as variables affecting code accuracy. The highest precision percentage of codes attributed to other medical diagnoses, including ICD-10-based comorbidity and complication, was in 84%-85% of the participants. Conclusion: Given the importance of all-encompassing coding in retrieving medical information, research, and macro-health policymaking, the coding accuracy audit must be conducted on a regular basis. The interaction between coders and healthcare providers, coders' training, and improving the documentation process exerts a significant impact on the enhancement of coding accuracy.

Comparison of Alcohol Use Disorders in DSM and ICD

2020 ◽  
Vol 66 (3) ◽  
pp. 143-153
Author(s):  
Jessica W. M. Wong ◽  
Friedrich M. Wurst ◽  
Ulrich W. Preuss
Keyword(s):  
Alcohol Use Disorders ◽  
International Classification Of Diseases ◽  
Clinical Use ◽  
Diagnostic Systems ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Historical Developments

Abstract. Introduction: With advances in medicine, our understanding of diseases has deepened and diagnostic criteria have evolved. Currently, the most frequently used diagnostic systems are the ICD (International Classification of Diseases) and the DSM (Diagnostic and Statistical Manual of Mental Disorders) to diagnose alcohol-related disorders. Results: In this narrative review, we follow the historical developments in ICD and DSM with their corresponding milestones reflecting the scientific research and medical considerations of their time. The current diagnostic concepts of DSM-5 and ICD-11 and their development are presented. Lastly, we compare these two diagnostic systems and evaluate their practicability in clinical use.

Angststörungen – von der ICD-10 zur ICD-11

2020 ◽  
pp. 1-5
Author(s):  
Timo D. Vloet ◽  
Marcel Romanos
Keyword(s):  
Mental Disorders ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.

Störungen durch Substanzgebrauch und abhängige Verhaltensweisen in der ICD-11

2020 ◽  
pp. 1-8
Author(s):  
Nicolas Arnaud ◽  
Rainer Thomasius
Keyword(s):  
International Classification Of Diseases ◽  
International Classification ◽  
Classification Of Diseases

Zusammenfassung. Der Beitrag informiert über die Eingliederung der Suchtstörungen in die 11. Auflage der International Classification of Diseases (ICD-11) der Weltgesundheitsorganisation (WHO). Die Revision der ICD soll einem gewandelten Verständnis der Suchtstörungen und deren Diagnostik Rechnung tragen und die klinische Anwendbarkeit vereinfachen. Im Bereich der substanzbezogenen und nicht substanzbezogenen Störungen sind gegenüber der Vorgängerversion erhebliche Neuerungen eingeführt worden. Die wichtigsten Änderungen betreffen ein erweitertes Angebot an Stoffklassen, deutliche (vereinfachende) Anpassungen in den konzeptuellen und diagnostischen Leitlinien der substanzbezogenen Störungsbilder und insbesondere der „Abhängigkeit“, sowie die Einführung der Kategorie der „abhängigen Verhaltensweisen“ und damit verbunden die Zuordnung der „Glücksspielstörung“ zu den Suchtstörungen sowie die Aufnahme der neuen (bildschirmbezogenen) „Spielstörung“. Zudem findet eine Erweiterung der diagnostischen Optionen für frühe, präklinische Phänotypen der Suchtstörungen („Episodisch Schädlicher Gebrauch“) erstmals Eingang in den ICD-Katalog. Im vorliegenden Beitrag werden die Änderungen Episodisch schädlicher Gebrauch für den Bereich der Suchtstörungen aus kinder- und jugendpsychiatrischer Sicht zusammenfassend dargestellt und diskutiert.

Zusatzklassifikation zur Kennzeichnung von Personen ohne akute Beschwerden oder Krankheiten)

1968 ◽  
Vol 07 (03) ◽  
pp. 141-151 ◽  
Author(s):  
H. Fassl
Keyword(s):  
International Classification Of Diseases ◽  
International Classification ◽  
Classification Of Diseases

In Krankenprotokollen finden sieb, nicht selten Angaben über den Patienten, die nicht mehr als Diagnosen anzusprechen sind. Dennoch sollten diese Feststellungen nicht verworfen werden, da sie wichtige Informationen darstellen. In der vorliegenden Arbeit wird (dem Vorschlag der Weltgesundheitsorganisation folgend) eine sog. Y-Klassifikation vorgestellt, mittels derer Feststellungen bei Personen ohne akute Klagen oder. Erkrankungen verschlüsselt werden können (z. B. Zustand nach einer Krankheit oder Verletzung, Verdacht auf eine Krankheit, Nachsorgemaßnahmen, prophylaktische Maßnahmen usw.). Der Entwurf folgt der Systematik der ICD (International Classification of Diseases) und kann dazu benutzt werden, gewisse Lücken darin zu überbrücken.

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