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5 results on '"Diffusion of innovation theory"'

1. The impact of regional screening policies on the diffusion of cancer screening participation in Belgium: time trends in educational inequalities in Flanders and Wallonia

Author

Barbara Willems and Piet Bracke

Subjects
Educational inequalities, Diffusion of innovation theory, Cancer screening participation, Regional screening policies, Public aspects of medicine, RA1-1270
Abstract

Abstract Background We investigate whether the extent of educational inequalities in the use of Pap smears (cervical cancer screening) and mammograms (breast cancer screening) in Belgium has changed over time in accordance with the pattern predicted by diffusion of innovation theory, as well as how the regional cancer screening policies of Flanders and Wallonia influence this pattern. Methods Data were obtained from five successive cross-sectional waves (1997–2001–2004-2008-2013) of the Belgian Health Interview Survey. Final sample sizes consisted of 8988 women aged 25–64 years for cervical cancer screening and 4194 women aged 50–69 years for breast cancer screening. We calculated absolute and relative measures of inequality, more specifically, the slope index of inequality (SII) and the relative index of inequality (RII), and their development over time. Results In both Flanders and Wallonia, mammogram use increased greatly between 1997 and 2013, while Pap smear use has remained quite stable over time. Educational inequalities in cervical-cancer screening have been largely persistent over time in both regions. In contrast, educational inequalities in breast cancer screening fluctuated more between 1997 and 2013. Between 1997 and 2001, when the breast cancer screening programme was implemented in Flanders, RII reduced significantly by 45%. Inequality measures did not change significantly in Wallonia, where it is known that most women are screened opportunistically outside the programme. Conclusions By focussing on Belgium, this study demonstrates that regional variations in the support of a national screening programme can result in regional variations in the pattern of diffusion for cancer screening, as well as to the development of inequalities in cancer screening participation. Moreover, the findings demonstrate that high visibility and awareness of the screening programme, as was more the case in Flanders than it was in Wallonia, are required in order to reduce or eliminate educational inequalities in cancer screening participation over time. General practitioners and gynaecologists can play a decisive role in this regard.

Published
2018
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2. Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic.

Author

Xiaojun Zhang, Ping Yu, Jun Yan, and A. M. Spil, Ir Ton

Subjects
*MEDICAL informatics, *PATIENT acceptance of health care, *HEALTH services accessibility, *MEDICAL care costs, *MEDICAL appointments, *DIFFUSION of innovations theory
Abstract

Background: Consumer e-Health is a potential solution to the problems of accessibility, quality and costs of delivering public healthcare services to patients. Although consumer e-Health has proliferated in recent years, it remains unclear if patients are willing and able to accept and use this new and rapidly developing technology. Therefore, the aim of this research is to study the factors influencing patients' acceptance and usage of consumer e-health innovations. Methods: A simple but typical consumer e-health innovation -- an e-appointment scheduling service -- was developed and implemented in a primary health care clinic in a regional town in Australia. A longitudinal case study was undertaken for 29 months after system implementation. The major factors influencing patients' acceptance and use of the e-appointment service were examined through the theoretical lens of Rogers' innovation diffusion theory. Data were collected from the computer log records of 25,616 patients who visited the medical centre in the entire study period, and from in-depth interviews with 125 patients. Results: The study results show that the overall adoption rate of the e-appointment service increased slowly from 1.5% at 3 months after implementation, to 4% at 29 months, which means only the 'innovators' had used this new service. The majority of patients did not adopt this innovation. The factors contributing to the low the adoption rate were: (1) insufficient communication about the e-appointment service to the patients, (2) lack of value of the e-appointment service for the majority of patients who could easily make phone call-based appointment, and limitation of the functionality of the e-appointment service, (3) incompatibility of the new service with the patients' preference for oral communication with receptionists, and (4) the limitation of the characteristics of the patients, including their low level of Internet literacy, lack of access to a computer or the Internet at home, and a lack of experience with online health services. All of which are closely associated with the low socio-economic status of the study population. Conclusion: The findings point to a need for health care providers to consider and address the identified factors before implementing more complicated consumer e-health innovations. [ABSTRACT FROM AUTHOR]

Published
2015
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4. Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations

Subjects
Internet, Online appointment service, Patient access, Diffusion of Innovation Theory, E-appointment scheduling, Consumer e-health
Abstract

Background: Consumer e-Health is a potential solution to the problems of accessibility, quality and costs of delivering public healthcare services to patients. Although consumer e-Health has proliferated in recent years, it remains unclear if patients are willing and able to accept and use this new and rapidly developing technology. Therefore, the aim of this research is to study the factors influencing patients' acceptance and usage of consumer e-health innovations. Methods: A simple but typical consumer e-health innovation - an e-appointment scheduling service - was developed and implemented in a primary health care clinic in a regional town in Australia. A longitudinal case study was undertaken for 29 months after system implementation. The major factors influencing patients' acceptance and use of the e-appointment service were examined through the theoretical lens of Rogers' innovation diffusion theory. Data were collected from the computer log records of 25,616 patients who visited the medical centre in the entire study period, and from in-depth interviews with 125 patients. Results: The study results show that the overall adoption rate of the e-appointment service increased slowly from 1.5% at 3 months after implementation, to 4% at 29 months, which means only the 'innovators' had used this new service. The majority of patients did not adopt this innovation. The factors contributing to the low the adoption rate were: (1) insufficient communication about the e-appointment service to the patients, (2) lack of value of the e-appointment service for the majority of patients who could easily make phone call-based appointment, and limitation of the functionality of the e-appointment service, (3) incompatibility of the new service with the patients' preference for oral communication with receptionists, and (4) the limitation of the characteristics of the patients, including their low level of Internet literacy, lack of access to a computer or the Internet at home, and a lack of experience with online health services. All of which are closely associated with the low socio-economic status of the study population. Conclusion: The findings point to a need for health care providers to consider and address the identified factors before implementing more complicated consumer e-health innovations.

Published
2015

5. Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic

Author

Xiaojun Zhang, Ping Yu, Jun Yan, and Ir Ton A M Spil

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, Online appointment service, Diffusion of Innovation Theory, media_common.quotation_subject, Health informatics, Health administration, Appointments and Schedules, Young Adult, Nursing, Health care, medicine, Humans, Quality (business), Longitudinal Studies, media_common, Aged, Service (business), Aged, 80 and over, Internet, Primary Health Care, Patient access, business.industry, Attitude to Computers, Nursing research, Public health, Health Policy, Receptionists, Australia, Middle Aged, Patient Acceptance of Health Care, Telemedicine, Case-Control Studies, E-appointment scheduling, Consumer e-health, Female, business.job_title, Diffusion of Innovation, business, Research Article
Abstract

Background Consumer e-Health is a potential solution to the problems of accessibility, quality and costs of delivering public healthcare services to patients. Although consumer e-Health has proliferated in recent years, it remains unclear if patients are willing and able to accept and use this new and rapidly developing technology. Therefore, the aim of this research is to study the factors influencing patients’ acceptance and usage of consumer e-health innovations. Methods A simple but typical consumer e-health innovation – an e-appointment scheduling service – was developed and implemented in a primary health care clinic in a regional town in Australia. A longitudinal case study was undertaken for 29 months after system implementation. The major factors influencing patients’ acceptance and use of the e-appointment service were examined through the theoretical lens of Rogers’ innovation diffusion theory. Data were collected from the computer log records of 25,616 patients who visited the medical centre in the entire study period, and from in-depth interviews with 125 patients. Results The study results show that the overall adoption rate of the e-appointment service increased slowly from 1.5% at 3 months after implementation, to 4% at 29 months, which means only the ‘innovators’ had used this new service. The majority of patients did not adopt this innovation. The factors contributing to the low the adoption rate were: (1) insufficient communication about the e-appointment service to the patients, (2) lack of value of the e-appointment service for the majority of patients who could easily make phone call-based appointment, and limitation of the functionality of the e-appointment service, (3) incompatibility of the new service with the patients’ preference for oral communication with receptionists, and (4) the limitation of the characteristics of the patients, including their low level of Internet literacy, lack of access to a computer or the Internet at home, and a lack of experience with online health services. All of which are closely associated with the low socio-economic status of the study population. Conclusion The findings point to a need for health care providers to consider and address the identified factors before implementing more complicated consumer e-health innovations

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