Social network research in health care settings: Design and data collection

2019 ◽  
Author(s):  
Chiara Pomare ◽  
Janet C. Long ◽  
Kate Churruca ◽  
Louise A. Ellis ◽  
Jeffrey Braithwaite
Keyword(s):  
Health Care ◽  
Social Network ◽  
Data Collection ◽  
Health Care Settings ◽  
Network Research

scholarly journals Recommendations for using the Revised Safer Dx Instrument to help measure and improve diagnostic safety

Diagnosis ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. 315-323 ◽  
Author(s):  
Hardeep Singh ◽  
Arushi Khanna ◽  
Christiane Spitzmueller ◽  
Ashley N.D. Meyer
Keyword(s):  
Health Care ◽  
Data Collection ◽  
Medical Record ◽  
Diagnostic Errors ◽  
Diagnostic Error ◽  
Diagnostic Process ◽  
Sources Of Information ◽  
Missed Opportunities ◽  
Health Care Settings ◽  
Data Collection Instrument

Abstract The medical record continues to be one of the most useful and accessible sources of information to examine the diagnostic process. However, medical record review studies of diagnostic errors have often used subjective judgments and found low inter-rater agreement among reviewers when determining the presence or absence of diagnostic error. In our previous work, we developed a structured data-collection instrument, called the Safer Dx Instrument, consisting of objective criteria to improve the accuracy of assessing diagnostic errors in primary care. This paper proposes recommendations on how clinicians and health care organizations could use the Revised Safer Dx Instrument in identifying and understanding missed opportunities to make correct and timely diagnoses. The instrument revisions addressed both methodological and implementation issues identified during initial use and included refinements to the instrument to allow broader application across all health care settings. In addition to leveraging knowledge from piloting the instrument in several health care settings, we gained insights from multiple researchers who had used the instrument in studies involving emergency care, inpatient care and intensive care unit settings. This allowed us to enhance and extend the scope of this previously validated data collection instrument. In this paper, we describe the refinement process and provide recommendations for application and use of the Revised Safer Dx Instrument across a broad range of health care settings. The instrument can help users identify potential diagnostic errors in a standardized way for further analysis and safety improvement efforts as well as provide data for clinician feedback and reflection. With wider adoption and use by clinicians and health systems, the Revised Safer Dx Instrument could help propel the science of measuring and reducing diagnostic errors forward.

Data collection for social network research

2021 ◽  
Author(s):  
Garry Robins ◽  
David Bright ◽  
Laurin Weissinger ◽  
Pat Stys
Keyword(s):  
Social Network ◽  
Data Collection ◽  
Network Research

scholarly journals Strategies for Collecting Social Network Data

2020 ◽  
pp. 117-136
Author(s):  
jimi adams ◽  
Tatiane Santos ◽  
Venice Ng Williams
Keyword(s):  
Social Network ◽  
Data Collection ◽  
Network Data ◽  
Ethical Considerations ◽  
Network Analyses ◽  
Social Network Data ◽  
Complete Network ◽  
Network Research ◽  
Measurement Design ◽  
Collection Strategies

This chapter provides an overview of social network data collection strategies. We begin by outlining the primary principles of sampling and measurement design, then describing how those combine into what is labeled the “boundary specification problem” for social network research. We accompany these definitions with examples of how these elements are applied across ego, partial, and complete network designs. Next, the chapter turns to the primary ways that network data have been evaluated, highlighting both the implications of those evaluations for their use in network analyses and various strategies for how the identified limitations can be leveraged for optimal data and analytic quality. The chapter concludes by addressing some of the ethical considerations that are unique to the gathering and analyses of social network data.

scholarly journals Strategies for Collecting Social Network Data: Overview, Assessment and Ethics

2019 ◽  
Author(s):  
jimi adams ◽  
Tatiane Santos ◽  
Venice Ng Williams
Keyword(s):  
Social Network ◽  
Data Collection ◽  
Network Data ◽  
Ethical Considerations ◽  
Network Analyses ◽  
Social Network Data ◽  
Complete Network ◽  
Network Research ◽  
Measurement Design ◽  
Collection Strategies

This chapter provides an overview of social network data collection strategies. We begin by outlining the primary principles of sampling and measurement design, then describing how those combine into what is labeled as the “boundary specification problem” for social network research. We accompany these definitions with examples of how these elements are applied across ego-, partial- and complete- network designs. Next, the chapter turns to the primary ways that network data have been evaluated, highlighting both the implications of those evaluations for their use in network analyses, and various strategies for how the identified limitations can be leveraged for optimal data and analytic quality. The chapter concludes by addressing some of the ethical considerations that are unique to the gathering and analyses of social network data.

scholarly journals Introduction of Systematized Nomenclature of Medicine–Clinical Terms Coding Into an Electronic Health Record and Evaluation of its Impact: Qualitative and Quantitative Study

10.2196/29532 ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. e29532
Author(s):  
Tanya Pankhurst ◽  
Felicity Evison ◽  
Jolene Atia ◽  
Suzy Gallier ◽  
Jamie Coleman ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Data Collection ◽  
Clinical Decision ◽  
Health Record ◽  
Coding System ◽  
Snomed Ct ◽  
Health Care Settings ◽  
Qualitative And Quantitative ◽  
Systematized Nomenclature Of Medicine

Background This study describes the conversion within an existing electronic health record (EHR) from the International Classification of Diseases, Tenth Revision coding system to the SNOMED-CT (Systematized Nomenclature of Medicine–Clinical Terms) for the collection of patient histories and diagnoses. The setting is a large acute hospital that is designing and building its own EHR. Well-designed EHRs create opportunities for continuous data collection, which can be used in clinical decision support rules to drive patient safety. Collected data can be exchanged across health care systems to support patients in all health care settings. Data can be used for research to prevent diseases and protect future populations. Objective The aim of this study was to migrate a current EHR, with all relevant patient data, to the SNOMED-CT coding system to optimize clinical use and clinical decision support, facilitate data sharing across organizational boundaries for national programs, and enable remodeling of medical pathways. Methods The study used qualitative and quantitative data to understand the successes and gaps in the project, clinician attitudes toward the new tool, and the future use of the tool. Results The new coding system (tool) was well received and immediately widely used in all specialties. This resulted in increased, accurate, and clinically relevant data collection. Clinicians appreciated the increased depth and detail of the new coding, welcomed the potential for both data sharing and research, and provided extensive feedback for further development. Conclusions Successful implementation of the new system aligned the University Hospitals Birmingham NHS Foundation Trust with national strategy and can be used as a blueprint for similar projects in other health care settings.

Student Preparation for Dysphagia Practice: Universities and Practicum Sites Supporting a Common Outcome

2016 ◽  
Vol 1 (13) ◽  
pp. 122-129 ◽  
Author(s):  
Wendy Chase ◽  
Lucinda Soares Gonzales
Keyword(s):  
Health Care ◽  
Student Performance ◽  
Classroom Setting ◽  
Medical Settings ◽  
Student Preparation ◽  
Health Care Settings ◽  
The University ◽  
University Of Connecticut

This article will describe the approach to dysphagia education in a classroom setting at the University of Connecticut (UCONN), explore the disparity between student performance in schools vs. health care settings that was discovered at UCONN, and offer suggestions for practicum supervisors in medical settings to enhance student acquisition of competence.

Percutaneous Tracheostomy: A Multidisciplinary Approach

2008 ◽  
Vol 18 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Vinciya Pandian ◽  
Thai Tran Nguyen ◽  
Marek Mirski ◽  
Nasir Islam Bhatti
Keyword(s):  
Health Care ◽  
Quality Assurance ◽  
Data Collection ◽  
Health Care Professionals ◽  
Multidisciplinary Approach ◽  
Percutaneous Tracheostomy ◽  
Johns Hopkins Hospital ◽  
Prospective Data ◽  
Comprehensive Service ◽  
Over Time

Abstract The techniques of performing a tracheostomy has transformed over time. Percutaneous tracheostomy is gaining popularity over open tracheostomy given its advantages and as a result the number of bedside tracheostomies has increased necessitating the need for a Percutaneous Tracheostomy Program. The Percutaneous Tracheostomy Program at the Johns Hopkins Hospital is a comprehensive service that provides care to patients before, during, and after a tracheostomy with a multidisciplinary approach aimed at decreasing complications. Education is provided to patients, families, and health-care professionals who are involved in the management of a tracheostomy. Ongoing prospective data collection serves as a tool for Quality Assurance.

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