PMID- 31277572
OWN - NLM
STAT- MEDLINE
DCOM- 20200706
LR  - 20200706
IS  - 1471-2288 (Electronic)
IS  - 1471-2288 (Linking)
VI  - 19
IP  - 1
DP  - 2019 Jul 5
TI  - Health technology assessment (HTA) of optoelectronic biosensors for oncology by 
      analytic hierarchy process (AHP) and Likert scale.
PG  - 140
LID - 10.1186/s12874-019-0775-z [doi]
LID - 140
AB  - BACKGROUND: The 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. METHODS: The 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. RESULTS: Results 
      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. CONCLUSIONS: The 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.
FAU - Improta, Giovanni
AU  - Improta G
AUID- ORCID: 0000-0002-9485-1687
AD  - Department of Public Health, University of Naples "Federico II", Naples, Italy. 
      ing.improta@gmail.com.
FAU - Perrone, Antonietta
AU  - Perrone A
AD  - Service of Clinical Engineering, Health Technology and HTA - University Hospital 
      AOU Federico II of Naples, Naples, Italy.
FAU - Russo, Mario Alessandro
AU  - Russo MA
AD  - Department of Public Health, University of Naples "Federico II", Naples, Italy.
FAU - Triassi, Maria
AU  - Triassi M
AD  - Department of Public Health, University of Naples "Federico II", Naples, Italy.
LA  - eng
PT  - Journal Article
DEP - 20190705
PL  - England
TA  - BMC Med Res Methodol
JT  - BMC medical research methodology
JID - 100968545
RN  - 9010-34-8 (Thyroglobulin)
SB  - IM
MH  - Algorithms
MH  - Biosensing Techniques/*methods
MH  - *Decision Making
MH  - *Decision Support Techniques
MH  - Humans
MH  - Medical Oncology/instrumentation/*methods
MH  - Psychometrics/methods
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - Technology Assessment, Biomedical/*methods/statistics & numerical data
MH  - Thyroglobulin/analysis
MH  - Thyroid Neoplasms/diagnosis/metabolism
PMC - PMC6612208
OTO - NOTNLM
OT  - AHP methodology
OT  - Health technology assessment
OT  - Likert scale
OT  - Multicriteria decision problems
COIS- The authors declare that they have no competing interests.
EDAT- 2019/07/07 06:00
MHDA- 2020/07/07 06:00
PMCR- 2019/07/05
CRDT- 2019/07/07 06:00
PHST- 2017/12/14 00:00 [received]
PHST- 2019/06/11 00:00 [accepted]
PHST- 2019/07/07 06:00 [entrez]
PHST- 2019/07/07 06:00 [pubmed]
PHST- 2020/07/07 06:00 [medline]
PHST- 2019/07/05 00:00 [pmc-release]
AID - 10.1186/s12874-019-0775-z [pii]
AID - 775 [pii]
AID - 10.1186/s12874-019-0775-z [doi]
PST - epublish
SO  - BMC Med Res Methodol. 2019 Jul 5;19(1):140. doi: 10.1186/s12874-019-0775-z.