PubMed Health⌕ Search

Biomedical subjects

Constance M Johnson

Publications and source records attributed to Constance M Johnson.

3 recordsLinked to original sources

Sustained effects of auricular point acupressure on chemotherapy-induced neuropathy: a randomized controlled trial follow-up study.

PURPOSE: Chemotherapy-induced neuropathy (CIN) is a persistent condition that impairs function and quality of life. Auricular point acupressure (APA) has shown short-term benefit for CIN, but the durability of these effects after treatment completion is unknown. This study evaluated the sustainability of symptom improvements for 3&#xa0;months following a 4-week APA intervention. METHODS: This prespecified secondary analysis of a randomized wait-list controlled trial compared mobile-supported APA (mAPA) and virtual APA (vAPA) in adults with moderate or greater CIN who received APA during the initial treatment phase (mAPA, n&#x2009;=&#x2009;80; vAPA, n&#x2009;=&#x2009;75). Outcomes at 1, 2, and 3&#xa0;months post-intervention were analyzed using generalized estimating equations with multiple imputation. The primary outcome was CIN severity, measured with an individualized composite outcome (ICO); the secondary outcome was CIN interference. RESULTS: Reductions in CIN severity and interference were maintained throughout follow-up in both groups (all p&#x2009;<&#x2009;.001). ICO scores decreased by 3.10, 3.36, and 3.61 points in mAPA and by 2.88, 2.90, and 3.21 points in vAPA at 1, 2, and 3&#xa0;months, respectively. Benefits were maintained post-treatment, with higher retention in the mAPA group. CONCLUSIONS: Improvements in CIN severity and interference after APA were sustained for up to 3&#xa0;months post-treatment, suggesting a durable benefit as a self-management strategy. Larger studies with longer follow-up and untreated comparison groups are needed. IMPLICATIONS FOR CANCER SURVIVORS: APA may offer survivors a durable, self-administered, nonpharmacologic option for managing CIN well beyond active treatment, without requiring ongoing clinical visits. TRIAL REGISTRATION: ClinicalTrials.gov, ID NCT04920097 registered on 3 June 2021.

Acupressure↗

The significance of cognitive modeling in building healthcare interfaces.

BACKGROUND: Although there are many reasons that widespread adoption of healthcare information systems has not transpired, one reason is a failure to take into account the cognitive needs of the users. AIM: To understand the cognitive needs of nurses and physicians and determine how these needs should influence the design of healthcare interfaces. DESIGN OF STUDY: A qualitative and quantitative study that compares how nurses and physicians comprehend patient information. SETTING: Twenty-four registered nurses and twenty-four physicians working in the specialties of gastrointestinal or internal medicine. METHODS: Each clinician reviewed two mock electronic medical records and summarized the cases using a think-aloud protocol. All verbalizations were coded for medical and conceptual information. RESULTS: The nurses included a larger mean proportion (p<0.001) of recalls than did the physicians. As compared to the nurses, the physicians included a statistically significant (p<0.001) larger mean proportion of inferences, conditional statements, and interventions. The nurses concentrated on functional problems, whereas the physicians focused on diagnosis, treatment, and management. CONCLUSION: The main cognitive differences between the physicians and the nurses are explained through the differences in their practice models. Therefore, healthcare IT must develop separate interfaces for each discipline to address their unique needs.

Adult↗

A user-centered framework for redesigning health care interfaces.

Numerous health care systems are designed without consideration of user-centered design guidelines. Consequently, systems are created ad hoc, users are dissatisfied and often systems are abandoned. This is not only a waste of human resources, but economic resources as well. In order to salvage such systems, we have combined different methods from the area of computer science, cognitive science, psychology, and human-computer interaction to formulate a framework for guiding the redesign process. The paper provides a review of the different methods involved in this process and presents a life cycle of our redesign approach. Following the description of the methods, we present a case study, which shows a successfully applied example of the use of this framework. A comparison between the original and redesigned interfaces showed improvements in system usefulness, information quality, and interface quality.

Artificial Intelligence↗