ArticleBMC medical research methodology2019
Health technology assessment (HTA) of optoelectronic biosensors for oncology by analytic hierarchy process (AHP) and Likert scale.
Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multicriteria decision analysis in the Italian healthcare context: a review of applications and methodological approaches.Frontiers in public health · 2026Pooled it
- A solution to the pervasive problem of response bias in self-reports.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi.Scientific reports · 2022Article
- Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study.International journal of environmental research and public health · 2022Article
- Regression Models to Study the Total LOS Related to Valvuloplasty.International journal of environmental research and public health · 2022Article
- Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence: A Single Center Study.International journal of environmental research and public health · 2022Article
- Comparing Two Approaches for Thyroidectomy: A Health Technology Assessment through DMAIC Cycle.Healthcare (Basel, Switzerland) · 2022Article
- A Health Technology Assessment in Maxillofacial Cancer Surgery by Using the Six Sigma Methodology.International journal of environmental research and public health · 2021Article
- Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital.Journal of healthcare engineering · 2021Article
- Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques.Journal of healthcare engineering · 2021Article
- The Influence of Patient-Provider Communication on Cancer Screening.Journal of patient experience · 2020Article
- Development of an informational support questionnaire of transitional care for aged patients with chronic disease.BMJ open · 2020Article
- Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.Journal of evaluation in clinical practice · 2020Article
- An Observation of a Resident-as-Teacher Combined with Tutor Guided Hysteroscopy Teaching Program for Standardized Residency Training (SRT) in Obstetrics and Gynecology.Journal of healthcare engineering · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe multicriteria decision method (MCDM) aims to find conflicts among alternatives by comparing and evaluating them according to various criteria to reach the best compromise solution. The evaluation of a new health technology is extremely important in the health sciences field. The aim of this work is to evaluate a new health technology to assay thyroglobulin in patients with differentiated thyroid cancer to improve its service from an organizational point of view, by planning new and appropriate training activities, ensuring proper use of resources and satisfying the needs of different users.
methodsThe evaluation was performed using two methodologies: the analytic hierarchy process (AHP) and the Likert scale. The AHP is a multicriteria decision approach that assigns a weight to each evaluation criterion according to the decision maker's pairwise comparisons of the criteria. The Likert scale is a psychometric scale employed to study the degree of user satisfaction by measuring opinions.
resultsResults show the need of particularly improving clinical efficiency, effectiveness, and return on sales (ROS) related to the technology; technological safety, human resources and other parameters do not need to be improved because of the high satisfaction results of the users.
conclusionsThe application of both methods provided the necessary information to improve the quality of the service, allowing the decision maker to identify the most valuable service features and to improve these to ensure user satisfaction and to identify possible service improvements.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.