EVALUATION OF PSYCHOSOCIAL    FACTORS INFLUENCING HEALTHCARE PROFESSIONAL       ACCEPTANCE OFTELEMONITORING FOR CHRONIC   ...
Outline of the presentation   Introduction   Objectives   Methodology   Results   Conclusions and Implications
Introduction   IT use in the health sector has an enormous    potential to help to improve the quality of the    services...
Introduction   In the Basque Country, pilot telemedicine projects have    been developed to support the delivery of care,...
Objetives   Based on the Technology Acceptance    Model (TAM), this study examines the main    factors that could affect ...
Methods   A validated questionnaire, based on an extension of    the TAM, was distributed to a total of 605 nurses,    ge...
Adapted Technology AcceptanceModel
Results   A global response-rate      of   44.3% was    achieved (n = 268):       131 Nurses       122 Physicians     ...
ResultsCharateristics               frequency   percentGender                                        Women                ...
Results   The original TAM model was good at    predicting intention to use the telemonitoring    system (χ2 was signific...
ResultsIndependent   Multivariate  95% CI        pvariables   regression OROriginal                               TAMPerce...
ResultsIndependent             Multivariate    95% CI       pvariables               regression                           ...
Results   A detailed analysis showed that intention to    use telemonitoring was best predicted by:       Healthcare pro...
Discussion   Our findings show that the extended TAM is a    good predictive model of healthcare    professionals’ intent...
Implications for the health       system/professionals/patients/society   This study confirms the value of this    framew...
For more detailed information:e-orruno@ej-gv.esmarie-pierre.gagnon@fsi.ulaval.cajasua@ej-gv.es
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EVALUATION OF PSYCHOSOCIAL FACTORS INFLUENCING HEALTHCARE PROFESSIONAL ACCEPTANCE OF TELEMONITORING FOR CHRONIC PATIENTS

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EVALUATION OF PSYCHOSOCIAL FACTORS INFLUENCING HEALTHCARE PROFESSIONAL ACCEPTANCE OF TELEMONITORING FOR CHRONIC PATIENTS

Estibalitz Orruño1, Marie-Pierre Gagnon2-3, José Asua4, Eva Reviriego1

1 Basque Office for Health Technology Assessment (Osteba), Department of Health and Consumer Affairs, Basque Government, Vitoria-Gasteiz, Spain.
2 Faculty of Nursing Sciences, Université Laval, Québec, Canada.
3 Research Centre of the Centre Hospitalier Universitaire de Québec, Québec, Canada.
4 Direction of Knowledge Management and Evaluation, Department of Health and Consumer Affairs, Basque Government, Vitoria-Gasteiz, Spain.

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EVALUATION OF PSYCHOSOCIAL FACTORS INFLUENCING HEALTHCARE PROFESSIONAL ACCEPTANCE OF TELEMONITORING FOR CHRONIC PATIENTS

  1. 1. EVALUATION OF PSYCHOSOCIAL FACTORS INFLUENCING HEALTHCARE PROFESSIONAL ACCEPTANCE OFTELEMONITORING FOR CHRONIC PATIENTS Estibalitz Orruño1, Marie-Pierre Gagnon2-3, José Asua4, Eva Reviriego1 1 Basque Office for Health Technology Assessment (Osteba), Department of Health and Consumer Affairs, Basque Government, Vitoria-Gasteiz, Spain. 2 Faculty of Nursing Sciences, Université Laval, Québec, Canada. 3 Research Centre of the Centre Hospitalier Universitaire de Québec, Québec, Canada.4 Direction of Knowledge Management and Evaluation, Department of Health and Consumer Affairs, Basque Government, Vitoria-Gasteiz, Spain.
  2. 2. Outline of the presentation Introduction Objectives Methodology Results Conclusions and Implications
  3. 3. Introduction IT use in the health sector has an enormous potential to help to improve the quality of the services offered. A key factor is that the health professionals are ready to accept those new technologies. The acceptance of telemedicine applications by the health professionals constitutes an important requirement for the fruitful diffusion of this technology on a large scale.
  4. 4. Introduction In the Basque Country, pilot telemedicine projects have been developed to support the delivery of care, inside the “Tackling the Challenge of Chronicity”. For instance, home telemonitoring for patients with chronic diseases is viewed as a promising solution to lessen the burden on health care organisations and professionals. However, we know little about the factors that could facilitate or impede health professionals’ willingness to engage in telehomecare.
  5. 5. Objetives Based on the Technology Acceptance Model (TAM), this study examines the main factors that could affect healthcare professionals intention to use telemonitoring technology.
  6. 6. Methods A validated questionnaire, based on an extension of the TAM, was distributed to a total of 605 nurses, general practitioners and paediatricians. Cronbach alpha were calculated to measure the reliability of the model. Construct validity was evaluated using inter-item correlation analysis. Logistic regression analysis was performed to test the theoretical model. Adjusted odds ratios (OR) and their 95% confidence intervals (CI) were computed.
  7. 7. Adapted Technology AcceptanceModel
  8. 8. Results A global response-rate of 44.3% was achieved (n = 268):  131 Nurses  122 Physicians  15 Paediatricians The internal consistency of theoretical constructs was high (Cronbach α between 0.80 and 0.96). All theoretical variables were well correlated (r > 0.6) with Intention to use, except Habit.
  9. 9. ResultsCharateristics frequency percentGender        Women 209 78.0    Men 59 22.0Age        <30 11 4.1    30-39 43 16.0    40-49 93 34.7    50-59 117 43.7    >60 4 1.5Years in clinical practice  mean = 21.3 (SD=9.1) 
  10. 10. Results The original TAM model was good at predicting intention to use the telemonitoring system (χ2 was significant; Nagelkerke R2 = 0.63). However, the extended model, which included other theoretical variables, was still significant and more powerful (Nagelkerke R 2 = 0.72). Perceived Usefulness, Compatibility and Facilitators were the significant predictors of intention.
  11. 11. ResultsIndependent Multivariate 95% CI pvariables regression OROriginal      TAMPerceived 5.28 3.14-10.01 0.000usefulnessPerceived 1.93 1.11-2.37 0.020ease of use Nagelkerke R2 = 0.63
  12. 12. ResultsIndependent Multivariate 95% CI pvariables regression ORExtended TAM      Perceived 2.65 1.15-6.12 0.022usefulnessPerceived ease of 0.66 0.31-1.39 0.276useCompatibility 3.06 1.30-7.18 0.010Subjective Norm 1.06 0.56-2.03 0.851Facilitators 4.90 2.38-10.09 0.000Habit 2.56 0.56-11.70 0.226 Nagelkerke R2 = 0.72
  13. 13. Results A detailed analysis showed that intention to use telemonitoring was best predicted by:  Healthcare professionals’ belief that they would obtain adequate training and technical support;  Belief that telemonitoring would require important changes in their practice.
  14. 14. Discussion Our findings show that the extended TAM is a good predictive model of healthcare professionals’ intention to use a telemonitoring system for chronic care patients in primary care. The perception of facilitators in the organisational context is the most important variable to consider for increasing healthcare professionals’ intention to use the new technology.
  15. 15. Implications for the health system/professionals/patients/society This study confirms the value of this framework for examining telemonitoring acceptance among primary care professionals The Modified TAM questionnaire provides a validated instrument for the investigation of key factors for successful telemedicine implementation.
  16. 16. For more detailed information:e-orruno@ej-gv.esmarie-pierre.gagnon@fsi.ulaval.cajasua@ej-gv.es

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