scholarly journals Online Investigations on Optimizing the Danish Health Portal Sundhed.dk

2021 ◽  
Author(s):  
Nanna B. Nielsen ◽  
Chaimaa K. Sekkal ◽  
Sangavi Yoganathan
Keyword(s):  
Laboratory Test ◽  
Participatory Design ◽  
Design Methods ◽  
Video Observation ◽  
Test Results ◽  
Danish Health ◽  
Laboratory Test Results ◽  
Laboratory Results ◽  
Treatment Plans

In recent years, many people have experienced different problems and challenges in using the national Danish health portal sundhed.dk, as they find it difficult to obtain desired information about their own laboratory test results and treatment plans. Therefore, the aim of this study is to find solutions, to make patients laboratory results easily accessible and understandable for the users. To achieve this aim there will be used two participatory design methods, video observation and questionnaires. The results shows that only 43.5% normally understand their test results, whereas the remaining participants need help to understand their results.

Herbal Remedies: Effects on Clinical Laboratory Tests

2006 ◽  
Vol 130 (4) ◽  
pp. 521-528 ◽  
Author(s):  
Amitava Dasgupta ◽  
David W. Bernard
Keyword(s):  
Chinese Medicine ◽  
Laboratory Test ◽  
Alternative Medicine ◽  
Clinical Laboratory ◽  
Herbal Remedies ◽  
Test Results ◽  
Abnormal Laboratory ◽  
St John's Wort ◽  
Laboratory Test Results ◽  
Laboratory Results

AbstractContext.—Complementary and alternative medicine (herbal medicines) can affect laboratory test results by several mechanisms.Objective.—In this review, published reports on effects of herbal remedies on abnormal laboratory test results are summarized and commented on.Data Sources.—All published reports between 1980 and 2005 with the key words herbal remedies or alternative medicine and clinical laboratory test, clinical chemistry test, or drug-herb interaction were searched through Medline. The authors' own publications were also included. Important results were then synthesized.Data Synthesis.—Falsely elevated or falsely lowered digoxin levels may be encountered in a patient taking digoxin and the Chinese medicine Chan Su or Dan Shen, owing to direct interference of a component of Chinese medicine with the antibody used in an immunoassay. St John's wort, a popular herbal antidepressant, increases clearance of many drugs, and abnormally low cyclosporine, digoxin, theophylline, or protease inhibitor concentrations may be observed in a patient taking any of these drugs in combination with St John's wort. Abnormal laboratory results may also be encountered owing to altered pathophysiology. Kava-kava, chaparral, and germander cause liver toxicity, and elevated alanine aminotransferase, aspartate aminotransferase, and bilirubin concentrations may be observed in a healthy individual taking such herbal products. An herbal product may be contaminated with a Western drug, and an unexpected drug level (such as phenytoin in a patient who never took phenytoin but took a Chinese herb) may confuse the laboratory staff and the clinician.Conclusions.—Use of alternative medicines may significantly alter laboratory results, and communication among pathologists, clinical laboratory scientists, and physicians providing care to the patient is important in interpreting these results.

scholarly journals Unit conversions between LOINC codes

2017 ◽  
Vol 25 (2) ◽  
pp. 192-196 ◽  
Author(s):  
Ronald G Hauser ◽  
Douglas B Quine ◽  
Alex Ryder ◽  
Sheldon Campbell
Keyword(s):  
Laboratory Test ◽  
Data Aggregation ◽  
Controlled Vocabulary ◽  
Test Results ◽  
Computational Process ◽  
Clinical Tests ◽  
Laboratory Test Results ◽  
Immunodeficiency Virus ◽  
Laboratory Results ◽  
Sodium Magnesium

Abstract Logical Observation Identifiers Names and Codes (LOINC) is the most widely used controlled vocabulary to identify laboratory tests. A given laboratory test can often be reported in more than 1 unit of measure (eg, grams or moles), and LOINC defines unique codes for each unit. Consequently, an identical laboratory test performed by 2 different clinical laboratories may have different LOINC codes. The absence of unit conversions between compatible LOINC codes impedes data aggregation and analysis of laboratory results. To develop such conversions, a computational process was developed to review the LOINC standard for potential conversions, and multiple expert reviewers oversaw and finalized the conversion list. In all, 285 bidirectional conversions were identified, including conversions for routine clinical tests such as sodium, magnesium, and human immunodeficiency virus (HIV). Unit conversions were applied to the aggregation of laboratory test results to demonstrate their usefulness. Diverse informatics projects may benefit from the ability to interconvert compatible results.

scholarly journals Reminders of Drug Effects on Laboratory Test Results

2000 ◽  
Vol 46 (9) ◽  
pp. 1395-1400 ◽  
Author(s):  
Marita Kailajärvi ◽  
Timo Takala ◽  
Paula Grönroos ◽  
Nils Tryding ◽  
Jorma Viikari ◽  
...  
Keyword(s):  
Laboratory Test ◽  
Laboratory Tests ◽  
Drug Effects ◽  
Study Drug ◽  
Test Results ◽  
Potential Drug ◽  
Reminder System ◽  
Patient Medication ◽  
Laboratory Test Results ◽  
Laboratory Results

Abstract Drug effects on laboratory test results are difficult to take into account without an online decision support system. In this study, drug effects on hormone test results were coded using a drug-laboratory effect (DLE) code. The criteria that trigger the reminders were defined. To issue reminders, it was necessary to write a computer program linking the DLE knowledge base with databases containing individual patient medication and laboratory test results. During the first 10 months, 11% of the results from hormone samples were accompanied by one or more DLE reminders. The most common drugs to trigger reminders were glucocorticoids, furosemide, and metoclopramide. Physicians facing the reminders completed a questionnaire on the usefulness of the reminders. All respondents considered them useful. In addition, DLE reminders had caused 74% of respondents to refrain from additional, usually performed examinations. In conclusion, drug effects on laboratory tests should always be considered when interpreting laboratory results. An online reminder system is useful in displaying potential drug effects alongside test results.

scholarly journals Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study

10.2196/18725 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e18725
Author(s):  
Zhan Zhang ◽  
Daniel Citardi ◽  
Aiwen Xing ◽  
Xiao Luo ◽  
Yu Lu ◽  
...  
Keyword(s):  
Laboratory Test ◽  
Contextual Information ◽  
Treatment Options ◽  
Test Results ◽  
Patient Portals ◽  
Technology Proficiency ◽  
Intrinsic Factors ◽  
Laboratory Test Results ◽  
Laboratory Results ◽  
Types Of Information

Background Patients are increasingly able to access their laboratory test results via patient portals. However, merely providing access does not guarantee comprehension. Patients could experience confusion when reviewing their test results. Objective The aim of this study is to examine the challenges and needs of patients when comprehending laboratory test results. Methods We conducted a web-based survey with 203 participants and a set of semistructured interviews with 13 participants. We assessed patients’ perceived challenges and needs (both informational and technological needs) when they attempted to comprehend test results, factors associated with patients’ perceptions, and strategies for improving the design of patient portals to communicate laboratory test results more effectively. Descriptive and correlation analysis and thematic analysis were used to analyze the survey and interview data, respectively. Results Patients face a variety of challenges and confusion when reviewing laboratory test results. To better comprehend laboratory results, patients need different types of information, which are grouped into 2 categories—generic information (eg, reference range) and personalized or contextual information (eg, treatment options, prognosis, what to do or ask next). We also found that several intrinsic factors (eg, laboratory result normality, health literacy, and technology proficiency) significantly impact people’s perceptions of using portals to view and interpret laboratory results. The desired enhancements of patient portals include providing timely explanations and educational resources (eg, a health encyclopedia), increasing usability and accessibility, and incorporating artificial intelligence–based technology to provide personalized recommendations. Conclusions Patients face significant challenges in interpreting the meaning of laboratory test results. Designers and developers of patient portals should employ user-centered approaches to improve the design of patient portals to present information in a more meaningful way.

scholarly journals Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study (Preprint)

2020 ◽  
Author(s):  
Zhan Zhang ◽  
Daniel Citardi ◽  
Aiwen Xing ◽  
Xiao Luo ◽  
Yu Lu ◽  
...  
Keyword(s):  
Laboratory Test ◽  
Contextual Information ◽  
Treatment Options ◽  
Test Results ◽  
Patient Portals ◽  
Technology Proficiency ◽  
Intrinsic Factors ◽  
Laboratory Test Results ◽  
Laboratory Results ◽  
Types Of Information

BACKGROUND Patients are increasingly able to access their laboratory test results via patient portals. However, merely providing access does not guarantee comprehension. Patients could experience confusion when reviewing their test results. OBJECTIVE The aim of this study is to examine the challenges and needs of patients when comprehending laboratory test results. METHODS We conducted a web-based survey with 203 participants and a set of semistructured interviews with 13 participants. We assessed patients’ perceived challenges and needs (both informational and technological needs) when they attempted to comprehend test results, factors associated with patients’ perceptions, and strategies for improving the design of patient portals to communicate laboratory test results more effectively. Descriptive and correlation analysis and thematic analysis were used to analyze the survey and interview data, respectively. RESULTS Patients face a variety of challenges and confusion when reviewing laboratory test results. To better comprehend laboratory results, patients need different types of information, which are grouped into 2 categories—generic information (eg, reference range) and personalized or contextual information (eg, treatment options, prognosis, what to do or ask next). We also found that several intrinsic factors (eg, laboratory result normality, health literacy, and technology proficiency) significantly impact people’s perceptions of using portals to view and interpret laboratory results. The desired enhancements of patient portals include providing timely explanations and educational resources (eg, a health encyclopedia), increasing usability and accessibility, and incorporating artificial intelligence–based technology to provide personalized recommendations. CONCLUSIONS Patients face significant challenges in interpreting the meaning of laboratory test results. Designers and developers of patient portals should employ user-centered approaches to improve the design of patient portals to present information in a more meaningful way.

Patient views on understanding laboratory results

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Patricia Wilkie
Keyword(s):  
Health Care ◽  
Laboratory Test ◽  
Health Care Professional ◽  
Test Results ◽  
Technological Changes ◽  
Laboratory Staff ◽  
Patient Views ◽  
Laboratory Test Results ◽  
Laboratory Results ◽  
To Receive

Abstract This paper examines the implications for laboratory staff of the technological changes enabling patients to have easy and quick access to their laboratory test results often without speaking with a health care professional. The needs of patients to receive results in easily understandable forms are described. The importance of sharing the concept of uncertainty with patients is discussed and explored including the challenges that this can create for staff.

scholarly journals PHYSICAL ACTIVITY AS A PRE-ANALYTICAL FACTOR AFFECTING LABORATORY TEST RESULTS

2018 ◽  
pp. 281
Author(s):  
Aleksandra Isaković ◽  
Goran Janković ◽  
Sanja Mazić ◽  
Željka Stanojević ◽  
Dejan Nešić
Keyword(s):  
Physical Activity ◽  
Laboratory Test ◽  
Test Results ◽  
Positive Effects ◽  
Laboratory Test Results ◽  
Laboratory Results ◽  
Broad Array ◽  
Laboratory Variables ◽  
Level Of Training ◽  
Intensity Of Exercise

It is known that physical activity undoubtedly exhibits positive effects, decreasing the incidence of many chronic diseases. But, at present, physical activity is consider a pre-analytical factor/error related to the sampling process. Namely, different types of physical activity as well as its different intensity may influence a broad array of laboratory variables. The amount of extracellular release and clearance from blood of most of these biomarkers is markedly influenced by the biological characteristics of the molecule(s), level of training, type, intensity and duration of exercise, and time of recovery after training. It is therefore noteworthy to have the anamnestic information about these specific characteristics of physical activity and to understand the "physiologic" effects of exercise on laboratory results and when the threshold to pathological effects has been crossed. There are a lot of research data about the influence of physical activity on laboratory test results, but the accessible results are scattered and inconsistent since variations in type, duration, and intensity of exercise, sample size, and biological, behavioral, and experimental variables are not always adequately controlled. In this study we put an effort to summarize the most often changes in laboratory results that occur as a result of physical activity and to explain these changes in accordance with their biochemical, physiological and metabolic features.

Effect of Ibuprofen on Serum Laboratory Test Results

1983 ◽  
Vol 40 (6) ◽  
pp. 1025-1034
Author(s):  
Carol L. Colvin ◽  
Raymond J. Townsend ◽  
William R. Gillespie ◽  
Kenneth S. Albert
Keyword(s):  
Laboratory Test ◽  
Test Results ◽  
Laboratory Test Results
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