ArticleBMC nursing2024
Identifying quality indicators for home care services: a modified Delphi and Analytic Hierarchy Process study.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- A Perceptual Gap Analysis of Service Quality Perceptions in Home-Based Long-Term Care Service Centers.Healthcare (Basel, Switzerland) · 2026Article
- Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Development of a Nursing Quality Evaluation Indicator System for Lung Cancer in Traditional Chinese Medicine Based on the Donabedian Model: A Delphi Study.Journal of multidisciplinary healthcare · 2026Article
- Development of a Quality Assessment Index System for Palliative Care Services in Chinese Nursing Homes: A Modified Delphi and Analytic Hierarchy Process Study.Journal of nursing management · 2026Article
- The meaning of 'quality' of homecare for older people: a scoping review.BMC health services research · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundAs the recipients of home care services, patients have the most direct and profound experience of service quality. There is limited knowledge as to quality indicators for home care services from patients' perspective. This study aimed to identify quality indicators for home care services based on the Service Quality model and determine the weights of these indicators.
methodsA two-round Delphi survey and Analytic Hierarchy Process consultation were conducted to gather opinions from national experts on quality indicators for home care services developed on the basis of the Service Quality model. Consensus was defined as at least 80% agreement on the importance (important and very important) of indicators among experts. The Analytic Hierarchy Process was used to calculate the weight coefficients of the identified indicators.
resultsThe response rate was 95.0% and 97.4% in the first and second round, respectively. After two rounds, five first-level (tangibility, reliability, responsiveness, assurance and empathy) and 23 second-level indicators were identified. The Kendall's W values were 0.54 and 0.40 for the first-level and second-level indicators (p < 0.001). The weight coefficients for the first-level and second-level indicators were 0.110-0.298 and 0.019-0.088, respectively.
conclusionQuality indicators for home care services were identified based on the Service Quality model. These indicators can be used to evaluate the service quality of home care from patients' perspective and facilitate to determine work priorities and improve the quality of home care.
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Registered trials
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