scholarly journals UNGAP best practice for improving solubility data quality of orally administered drugs

2021 ◽  
pp. 106043
Author(s):  
M Vertzoni ◽  
J Alsenz ◽  
P Augustijns ◽  
A Bauer-Brandl ◽  
CAS Bergström ◽  
...  
Keyword(s):  
Data Quality ◽  
Best Practice ◽  
Solubility Data

Best practice in the management of clinical coding services: Insights from a project in the Republic of Ireland, Part 1

2017 ◽  
Vol 46 (2) ◽  
pp. 69-77 ◽  
Author(s):  
Beth A Reid ◽  
Lee Ridoutt ◽  
Paul O’Connor ◽  
Deirdre Murphy
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
Medical Record ◽  
Best Practice ◽  
Control Measures ◽  
Data Quality Control ◽  
Clinical Coding ◽  
Republic Of Ireland ◽  
The Republic

Introduction: This article presents some of the results of a year-long project in the Republic of Ireland to review the quality of the hospital inpatient enquiry data for its use in activity-based funding (ABF). This is the first of two papers regarding best practice in the management of clinical coding services. Methods: Four methods were used to address this aspect of the project, namely a literature review, a workshop, an assessment of the coding services in 12 Irish hospitals by structured interviews of the clinical coding managers, and a medical record audit of the clinical codes in 10 hospitals. Results: The results included here are those relating to the quality of the medical records, coding work allocation and supervision processes, data quality control measures, communication with clinicians, and the visibility of clinical coders, their managers, and the coding service. Conclusion: The project found instances of best practice in the study hospitals but also found several areas needing improvement. These included improving the structure and content of the medical record, clinician engagement with the clinical coding teams and the ABF process, and the use of data quality control measures.

scholarly journals Leveraging phone-based mobile technology to improve data quality at health facilities in rural Malawi: a best practice project

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Tinashe A. Tizifa ◽  
William Nkhono ◽  
Spencer Mtengula ◽  
Michele van Vugt ◽  
Zachary Munn ◽  
...  
Keyword(s):  
Data Quality ◽  
Primary Healthcare ◽  
Best Practice ◽  
Health Workers ◽  
Health Centre ◽  
Data Consistency ◽  
Audit And Feedback ◽  
Data Completeness ◽  
Targeted Interventions

Abstract Background To further reduce malaria burden, identification of areas with highest burden for targeted interventions needs to occur. Routine health information has the potential to indicate where and when clinical malaria occurs the most. Developing countries mostly use paper-based data systems however they are error-prone as they require manual aggregation, tallying and transferring of data. Piloting was done using electronic data capture (EDC) with a cheap and user friendly software in rural Malawian primary healthcare setting to improve the quality of health records. Methods Audit and feedback tools from the Joanna Briggs Institute (Practical Application of Clinical Evidence System and Getting Research into Practice) were used in four primary healthcare facilities. Using this approach, the best available evidence for a malaria information system (MIS) was identified. Baseline audit of the existing MIS was conducted in the facilities based on available best practice for MIS; this included ensuring data consistency and completeness in MIS by sampling 25 random records of malaria positive cases. Implementation of an adapted evidence-based EDC system using tablets on an OpenDataKit platform was done. An end line audit following implementation was then conducted. Users had interviews on experiences and challenges concerning EDC at the beginning and end of the survey. Results The existing MIS was paper-based, occupied huge storage space, had some data losses due to torn out papers and were illegible in some facilities. The existing MIS did not have documentation of necessary parameters, such as malaria deaths and treatment within 14 days. Training manuals and modules were absent. One health centre solely had data completeness and consistency at 100% of the malaria-positive sampled records. Data completeness and consistency rose to 100% with readily available records containing information on recent malaria treatment. Interview findings at the end of the survey showed that EDC was acceptable among users and they agreed that the tablets and the OpenDataKit were easy to use, improved productivity and quality of care. Conclusions Improvement of data quality and use in the Malawian rural facilities was achieved through the introduction of EDC using OpenDataKit. Health workers in the facilities showed satisfaction with the use of EDC.

scholarly journals Leveraging Phone Based Mobile Technology to Improve Data Quality at Health Facilities in Rural Malawi: A Best Practice Project

2020 ◽  
Author(s):  
Tinashe Alinafe Tizifa ◽  
William Nkhono ◽  
Spencer Mtengula ◽  
Michele van Vugt ◽  
Zachary Munn ◽  
...  
Keyword(s):  
Data Quality ◽  
Primary Healthcare ◽  
Best Practice ◽  
Health Workers ◽  
Data Consistency ◽  
Audit And Feedback ◽  
Data Systems ◽  
Data Completeness ◽  
Targeted Interventions

Abstract Background: To further reduce malaria burden, identification of areas with highest burden for targeted interventions needs to occur. Routine health information has the potential to indicate where and when clinical malaria occurs the most. Developing countries mostly use paper-based data systems however they are error-prone as they require manual aggregation, tallying and transferring of data. We piloted the use of electronic data capture (EDC) using a cheap and user friendly software in rural Malawian primary healthcare setting to improve the quality of health records. Methodology: We used audit and feedback tools from Joanna Briggs Institute’s (Practical Application of Clinical Evidence System and Getting Research into Practice) in four primary healthcare facilities. Using this approach, we identified the best available evidence for a malaria information system (MIS). Baseline audit of the existing MIS was conducted in the facilities based on available best practice for MIS; this included ensuring data consistency and completeness in MIS by sampling 25 random records of malaria positive cases. Implementation of an adapted evidence-based EDC system using tablets on an OpenDataKit platform was done. We then conducted an end line audit following implementation. Users had interviews on experiences and challenges concerning EDC at the beginning and end of the survey.Results: The existing MIS was paper-based, occupied huge storage space, had some data losses due to torn out papers and were illegible in some facilities. The existing MIS did not have documentation of necessary parameters such as malaria deaths and treatment within 14 days. Training manuals and modules were absent. One health center solely had data completeness and consistency at 100% of the malaria-positive sampled records. Data completeness and consistency rose to 100% with readily available records containing information on recent malaria treatment. Interview findings at the end of the survey showed that EDC was acceptable among users and they agreed that the tablets and the OpenDataKit were easy to use, improved productivity and quality of care. Conclusions: Improvement of data quality and use in the Malawian rural facilities was achieved through the introduction of EDC using OpenDataKit. Health workers in the facilities showed satisfaction with the use of EDC. (Word limit: 350 words, current: 349)

scholarly journals Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index

2020 ◽  
Vol 27 (5) ◽  
pp. 776-782 ◽  
Author(s):  
Shanoja Naik ◽  
Stephanie Voong ◽  
Megan Bamford ◽  
Kyle Smith ◽  
Angela Joyce ◽  
...  
Keyword(s):  
Case Report ◽  
Data Quality ◽  
Quality Indicators ◽  
Quality Index ◽  
Best Practice ◽  
Quality Framework ◽  
The Impact ◽  
Nursing Quality Indicators ◽  
Nursing Quality

Abstract A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses’ Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold: (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.

Gastroesophageal Reflux Disease: A Gastroenterologist's Perspective

2011 ◽  
Vol 21 (3) ◽  
pp. 89-99
Author(s):  
Michael F. Vaezi
Keyword(s):  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Best Practice ◽  
Clinical Care ◽  
Diagnostic Testing ◽  
Diagnostic Tools ◽  
Swallowing Function ◽  
Atypical Symptoms

Gastroesophageal reflux disease (GERD) is a commonly diagnosed condition often associated with the typical symptoms of heartburn and regurgitation, although it may present with atypical symptoms such as chest pain, hoarseness, chronic cough, and asthma. In most cases, the patient's reduced quality of life drives clinical care and diagnostic testing. Because of its widespread impact on voice and swallowing function as well as its social implications, it is important that speech-language pathologists (SLPs) understand the nature of GERD and its consequences. The purpose of this article is to summarize the nature of GERD and GERD-related complications such as GERD-related peptic stricture, Barrett's esophagus and adenocarcinoma, and laryngeal manifestations of GERD from a gastroenterologist's perspective. It is critical that SLPs who work with a multidisciplinary team understand terminology, diagnostic tools, and treatment to ensure best practice.

KAJIAN LITERATUR MODEL KONSEPTUAL KEBERHASILAN E-GOVERNMENT

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Bernadus Gunawan Sudarsono ◽  
Sri Poedji Lestari
Keyword(s):  
Information Technology ◽  
Best Practice ◽  
Public Services ◽  
Developed Countries ◽  
Internet Technology ◽  
Electronic Government ◽  
Digital Government ◽  
Management Ethics ◽  
The Government

The use of internet technology in the government environment is known as electronic government or e-government. In simple terms, e-government or digital government is an activity carried out by the government by using information technology support in providing services to the community. In line with the spirit of bureaucratic reform in Indonesia, e-government has a role in improving the quality of public services and helping the process of delivering information more effectively to the public. Over time, the application of e-Government has turned out to have mixed results. In developed countries, the application of e-Government systems in the scope of government has produced various benefits ranging from the efficiency of administrative processes and various innovations in the field of public services. But on the contrary in the case of developing countries including Indonesia, the results are more alarming where many government institutions face obstacles and even fail to achieve significant improvements in the quality of public services despite having adequate information and communication technology. The paradigm of bureaucrats who wrongly considers that the success of e-Government is mainly determined by technology. Even though there are many factors outside of technology that are more dominant as causes of failure such as organizational management, ethics and work culture. This study aims to develop a model of success in the application of e-Government from several best practice models in the field of information technology that have been widely used so far using literature studies as research methods. The results of the study show that the conceptual model of the success of the implementation of e-Government developed consists of 17 determinants of success..Keywords: Model, Factor, Success, System, e-Government

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

scholarly journals Response Behavior and Quality of Survey Data: Comparing Elderly Respondents in Institutions and Private Households

2021 ◽  
pp. 004912412199553
Author(s):  
Jan-Lucas Schanze
Keyword(s):  
Data Quality ◽  
The Elderly ◽  
Response Behavior ◽  
Quality Of Data ◽  
Social Surveys ◽  
Private Households ◽  
Confounding Variables ◽  
Health Related ◽  
Survey Interviews

An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent this label is justified and whether quality of data collected among residents in institutions for the elderly really differs from data collected within private households. For this purpose, I analyze the response behavior and quality indicators in three waves of Survey of Health, Ageing and Retirement in Europe. To control for confounding variables, I use propensity score matching to identify respondents in private households who share similar characteristics with institutionalized residents. My results confirm that most indicators of response behavior and data quality are worse in institutions compared to private households. However, when controlling for sociodemographic and health-related variables, differences get very small. These results suggest the importance of health for the data quality irrespective of the housing situation.

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