ArticleInternational journal of nursing sciences2022
Demand analysis of an intelligent medication administration system for older adults with chronic diseases based on the Kano model.
Article in International journal of nursing sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Compensation and Technology-Mediated Strategies to Maintain Older Adults' Medication Adherence.International journal of environmental research and public health · 2023Pooled it
- Understanding the Functional Needs of Patients With Cardiovascular Disease Regarding Nursing Robots Using a Kano Survey Scale: Cross-Sectional Study.Interactive journal of medical research · 2026Article
- Demand analysis of knowledge regarding cardiac rehabilitation among parents of children with congenital heart disease after surgery based on the Kano model.BMC pediatrics · 2026Article
- Exploring service demands of community-embedded elderly care based on the Kano model: a cross-sectional study in Hefei, China.BMC geriatrics · 2026Article
- Demand Analysis of Mobile Health Applications for Patients with Chronic Kidney Disease Across Different E-Health Literacy Levels.Patient preference and adherence · 2026Article
- Classification and Prioritization of Health Education Needs Among HPV‑Infected Patients in Chengdu: A KANO Model-Based Cross-Sectional Study.Patient preference and adherence · 2026Article
- Nurses' needs for digital mental health support: an analysis based on the Kano model.Frontiers in public health · 2026Article
- A systematic review of unmet needs of older adults in home settings and their implications for novel technological solutions.Innovation in aging · 2025Article
- Research on the requirement characteristics and differentiated service design of home-based elderly care service in China using the candy model.Scientific reports · 2025Article
- A study of family care needs after pediatric congenital heart disease interventions based on the KANO model.BMC cardiovascular disorders · 2025Article
- Demand analysis of perioperative nursing service needs for patients with cervical spondylosis based on the Kano model: a cross-sectional study.BMC nursing · 2025Article
- Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review.BMC geriatrics · 2025Article
- Needs Analysis of Supportive Care for Postoperative Wound Rehabilitation in Anal Fistula Patients Based on the Kano Model.Journal of multidisciplinary healthcare · 2025Article
- Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model.JMIR nursing · 2024Article
- Demand analysis of health care services for community-dwelling breast cancer survivors based on the Kano model: A cross-sectional study.International journal of nursing sciences · 2024Article
- The preferences for the telemedicine and standard health care services from the perspective of the patients with schizophrenia.BMC psychiatry · 2023Article
- Article
- Effect of nursing interventions based on the Kano model on symptom relief and parental psychological behavior in children with febrile seizures.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGerontechnology has great potential in promoting older adults' well-being. With the accelerated aging process, gerontechnology has a promising market prospect. However, most technological developers and healthcare professionals attached importance to products' effectiveness, and ignored older adults' demands and user experience, which reduced older adults' adoption intention of gerontechnology use. The inclusion of older adults in the design process of technologies is essential to maximize the effect. This study explored older adults' demands for a self-developed intelligent medication administration system and proposed optimization schemes, thus providing reference to developing geriatric-friendly technologies and products.
methodsA cross-sectional survey was conducted to explore older adults' technological demands for the self-developed intelligent medication administration system, and data were analyzed based on the Kano model. A self-made questionnaire was administered from July 2020 to October 2020 after participants used this system for two weeks. The study was registered with the Chinese Clinical Trial Registry (ChiCTR2000040644).
resultsA total of 354 older adults participated in the survey. Four items, namely larger font size, simpler operation process, scheduled medication reminders and reliable hardware, were classified as must-be attributes; three items, namely searching drug instructions through WeChat, more sensitive system and longer battery life, as attractive attributes; one item, viewing disease-related information through WeChat, as the one-dimensional attribute; and the rest were indifferent attributes, including simple and beautiful displays, blocking advertisements automatically, providing user privacy protection protocol, viewing personal medical information only by logged-in users, recording all the medications, ordering medications through WeChat. The satisfaction values were between 0.24 and 0.69, and dissatisfaction values were between 0.06 and 0.94.
conclusionThis study suggested that older adults had personalized technology demands. Including their technological demands and desire may assist in decreasing the digital divide and promoting the satisfaction of e-health and/or m-health. Based on older adults' demands, our study proposed optimization schemes of the intelligent medication administration system, which may help developers design geriatric-friendly intelligent products and nurses to perform older adults-centered and efficient medication management.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.