Literature DB >> 15921062

Decisions to adopt new technologies at the hospital level: insights from Israeli medical centers.

Dan Greenberg1, Yitzhak Peterburg, Daniel Vekstein, Joseph S Pliskin.   

Abstract

OBJECTIVES: New medical technologies have been identified as the leading cause of increasing health-care expenditures. Adoption of a new technology is one of the most important decisions in medical centers. The objectives of this study were to map and describe the function of hospital decision-makers within the area of new technology assessment and adoption, and to examine relevant considerations, sources of information, and decision-making processes in the adoption of a new technology.
METHODS: A questionnaire was mailed to hospital executives and referred to (i) the considerations for and against adoption of a new technology, (ii) the decision-making process, (iii) information sources used in the decision-making process.
RESULTS: The most frequent criteria favoring adoption included increased cost-effectiveness, increased efficacy, and decrease in complication rates. An increase in complication rates or side effects and decreased efficacy were the top ranked criteria against adoption. The final decision-making responsibility varied among technologies; the medical director frequently made the final decision when a new device was involved, but this responsibility decreased when a new drug or a new procedure was considered, Participation in scientific meetings, opinions of local experts, medical journals, and Food and Drug Administration clearance documents were the most important information sources used in the decision-making process. However, these were not necessarily the optimal sources of information. Significant barriers in adoption decision-making are lack of timely data regarding the safety of the new technology, its cost-effectiveness, and efficacy.
CONCLUSION: To improve the adoption decisions, hospitals must develop criteria upon which the decision-making will be based.

Mesh:

Year:  2005        PMID: 15921062

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  10 in total

Review 1.  Setting Healthcare Priorities at the Macro and Meso Levels: A Framework for Evaluation.

Authors:  Edwine W Barasa; Sassy Molyneux; Mike English; Susan Cleary
Journal:  Int J Health Policy Manag       Date:  2015-09-16

2.  Developing an Appropriateness Criteria for Knee MRI Using the Rand Appropriateness Method (RAM)-2013.

Authors:  Hossein Ebrahimipour; Seyedeh Zahra Mirfeizi; Ali Vafaee Najar; Amir Reza Kachooei; Amir Shahriar Ariamanesh; Reza Ganji; Habibollah Esmaeeli; Hedayat Salari; Marjan Vejdani
Journal:  Arch Bone Jt Surg       Date:  2014-03-15

Review 3.  SAGES guidelines for the introduction of new technology and techniques.

Authors:  Dimitrios Stefanidis; Robert D Fanelli; Ray Price; William Richardson
Journal:  Surg Endosc       Date:  2014-06-18       Impact factor: 4.584

Review 4.  Setting healthcare priorities in hospitals: a review of empirical studies.

Authors:  Edwine W Barasa; Sassy Molyneux; Mike English; Susan Cleary
Journal:  Health Policy Plan       Date:  2014-03-05       Impact factor: 3.344

Review 5.  HOSPITAL MANAGERS' NEED FOR INFORMATION ON HEALTH TECHNOLOGY INVESTMENTS.

Authors:  Anne Mette Ølholm; Kristian Kidholm; Mette Birk-Olsen; Janne Buck Christensen
Journal:  Int J Technol Assess Health Care       Date:  2016-02-15       Impact factor: 2.188

Review 6.  Organizational aspect in healthcare decision-making: a literature review.

Authors:  Amélie Dubromel; Marie-Audrey Duvinage-Vonesch; Loïc Geffroy; Claude Dussart
Journal:  J Mark Access Health Policy       Date:  2020-08-31

7.  Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework.

Authors:  Jinxin Yang; Biao Luo; Chen Zhao; Hongliang Zhang
Journal:  Digit Health       Date:  2022-10-05

8.  Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland.

Authors:  Renata Walczak; Magdalena Kludacz-Alessandri; Liliana Hawrysz
Journal:  Int J Environ Res Public Health       Date:  2022-09-01       Impact factor: 4.614

9.  Developing Criteria for Lumbar Spine Magnetic Resonance Imaging (MRI) Using RAND Appropriateness Method (RAM).

Authors:  Ali Keshtkaran; Mohammad Hadi Bagheri; Rahim Ostovar; Hedayat Salari; Majid Reza Farokhi; Atefeh Esfandiari; Hossein Yousefimanesh
Journal:  Iran J Radiol       Date:  2012-09-17       Impact factor: 0.212

10.  Adoption of an innovation to repair aortic aneurysms at a Canadian hospital: a qualitative case study and evaluation.

Authors:  Nathalie M Danjoux; Douglas K Martin; Pascale N Lehoux; Julie L Harnish; Randi Zlotnik Shaul; Mark Bernstein; David R Urbach
Journal:  BMC Health Serv Res       Date:  2007-11-15       Impact factor: 2.655

  10 in total

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