Factors affecting the adoption of healthcare information technology.
Ontology highlight
ABSTRACT:
SUBMITTER: Phichitchaisopa N
PROVIDER: S-EPMC4566918 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Background:E-health technology applications are essential tools of modern information technology that improve quality of healthcare delivery in hospitals of both developed and developing countries. However, despite its positive benefits, studies indicate that the rate of the e-health adoption in some developing countries is either low or underutilized. This is due in part, to barriers such as resistance from healthcare professionals, poor infrastructure, and low technical expertise among others. Objective:The aim of this study is to investigate, identify and analyze the underlying factors that affect healthcare professionals decision to adopt and use e-health technology applications in developing countries, with particular reference to hospitals in Nigeria. Methods:The study used a cross sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 465 healthcare professionals randomly selected from 15 hospitals in Nigeria. We used the modified Technology Acceptance Model (TAM) as the dependent variable and external factors as independent variables. The collected data was then analyzed using SPSS statistical analysis such as frequency test, reliability analysis, and correlation coefficient analysis. Results:The results obtained, which correspond with findings from other researches published, indicate that perceived usefulness, belief, willingness, as well as attitude of healthcare professionals have significant influence on their intention to adopt and use the e-health technology applications. Other strategic factors identified include low literacy level and experience in using the e-health technology applications, lack of motivation, poor organizational and management policies. Conclusion:The study contributes to the literature by pinpointing significant areas where findings can positively affect, or be found useful by, healthcare policy decision makers in Nigeria and other developing countries. This can help them understand their areas of priorities and weaknesses when planning for e-health technology adoption and implementation.
| S-EPMC5835346 | biostudies-literature
Project description:The rapid adoption of residential solar photovoltaic (PV) is recasting the role of individual households as a dynamic and potent construct critical for emissions mitigation and resilience of the electricity system. As residential PV enters more risk-averse customer segments, broader deployment of residential PV depends on overcoming both financial and informational barriers to adoption. Fast-changing residential PV technologies and associated policies means there is both lack of information and often misinformation among customers-gaps that are addressed effectively with local, trusted information networks, especially for big-ticket items such as residential PV. Here, we use an extensively validated agent-based model of residential PV adoption to analyze the effectiveness of different information intervention designs in spurring PV diffusion. We show that intervention designs are effective when they balance long-distance connections and local reinforcement, matching the intervention to both the informational needs of potential adopters and the structure of the underlying network.
| S-EPMC9372598 | biostudies-literature
Project description:ObjectiveTo describe the trend in health information technology (IT) systems adoption in hospital emergency departments (EDs) and its effect on ED efficiency and resource use.Data sources2007-2010 National Hospital Ambulatory Medical Care Survey - ED Component.Study designWe assessed changes in the percent of visits to EDs with health IT capability and the estimated effect on waiting time to see a provider, visit length, and resource use.Principal findingsThe percent of ED visits that took place in an ED with at least a basic health IT or an advanced IT system increased from 25.2 and 3.1 percent in 2007 to 69.1 and 30.6 percent in 2010, respectively (p < .05). Controlling for ED fixed effects, waiting times were reduced by 6.0 minutes in advanced IT-equipped EDs (p < .05), and the number of tests ordered increased by 9 percent (p < .01). In models using a 1-year lag, advanced systems also showed an increase in the number of medications and images ordered per visit.ConclusionsAlmost a third of visits now occur in EDs with advanced IT capability. While advanced IT adoption may decrease wait times, resource use during ED visits may also increase depending on how long the system has been in place. We were not able to determine if these changes indicated more appropriate care.
| S-EPMC4722215 | biostudies-literature
Project description:ObjectivesNursing facilities have lagged behind in the adoption of interoperable health information technology (ie technologies that allow the sharing and use of electronic patient information between different information systems). The objective of this study was to estimate the nationwide prevalence of electronic health record (EHR) adoption among nursing facilities and to identify the factors associated with adoption.DesignCross-sectional survey.Setting & participantsWe surveyed members of the Society for Post-Acute & Long-Term Care Medicine (AMDA) about their organizations' health information technology usage and characteristics.MeasurementsUsing questions adopted from existing instruments, the survey measured nursing home's EHR adoption, the ability to send, receive, search and integrate electronic information, as well as barriers to usage. Additionally, we linked survey responses to public use secondary data sources to construct measurements for 8 determinants known to be associated with organizational adoption: innovativeness, functional differentiation, role specialization, administrative intensity, professionalism, complexity, technical knowledge resources, and slack resources. A series of regression models estimated the association between potential determinants and technology adoption.Results84% of nursing facilities reported using an EHR. After controlling for all other factors, respondents who characterized their organization as more innovative had more than 6 times the odds (adjusted odds ratio = 6.39, 95% confidence interval = 2.69, 15.21) of adopting an EHR. Organization innovativeness was also associated with an increased odds of being able to send, integrate, and search for electronic information. The most commonly identified barrier to sharing clinical information among nursing facilities with an EHR was a reported absence of interoperability (57%).Conclusions/implicationsAn organizational culture that fosters innovation and awareness campaigns by professional societies may facilitate further adoption and effective use of technology. This will be increasingly important as policy makers continue to emphasize the use of EHRs and interoperability to improve the quality of care in nursing facilities.
| S-EPMC6591108 | biostudies-literature
Project description:The aim of this review was to explore which factors influence nurses' adoption of information and communication technology. A systematic review was conducted using qualitative and quantitative studies. The authors performed the search strategy in the databases of PubMed, CINAHL, and IEEE and included articles published between January 2011 and July 2021. This review explores the following factors: collaboration, leadership, and individual and team factors-that, according to qualitative and quantitative research, seem to influence nurses' adoption of information and communication technology. A gradual implementation process of the information and communication technology, involvement from care professionals in the implementation process, and team functioning are important factors to consider when adopting information and communication technology. In addition to these, individual factors such as age, experience, attitude, and knowledge are also influencing factors. The review suggests that collaboration is important within the implementation of information and communication technology in care and that it positively influences nurses' adoption of it. Individual factors are researched more extensively than collaboration, leadership, and team factors. Although they also appear to influence the adoption of information and communication technology, there is insufficient evidence to convincingly substantiate this.
| S-EPMC10090364 | biostudies-literature
Project description:BackgroundThe use of information technologies could help to improve communications between patients and care providers, might improve overall patient management practice. However, the potential for implementing these patient management options in Ethiopia has not been well documented. This institution-based survey aimed to describe the attitude and willingness of care providers towards the use of information technologies for managing diabetes patients, and factors influencing their interest.MethodsA cross-sectional quantitative survey was conducted on 423 study participants from February to March 2020 at two teaching hospitals in Northwest Ethiopia, where remote monitoring patients had not been implemented. A pretested self-administered questionnaire was used to collect the required data. Other than descriptive statistics, the binary logistic regression analysis method was used to identify factors associated with attitude. Also, the negative binomial regression method was used to identify factors associated with willingness to use information technologies.ResultA total of 406 participants (69.7%, n = 283 nurses and 30.3%, n = 123 physicians) were completed survey. Overall, 64% of respondents had a favorable attitude towards remote monitoring, and the majority of them were willing to use voice call (74.4%), text message (62.1%), video conference (61.3%), e-mail (60.6%), and social media (57.4%) as a source of communication to support patients. The result of regression analysis shows that having a computer (AOR = 2.3, 95% CI: [1.3, 3.8]), innovativeness (AOR = 2.8, 95% CI: [1.8, 4.3]), and practice of supporting patient by electronic technologies (AOR = 1.7, 95% CI: [1.1, 2.6]) were significantly associated with attitude to remote monitoring. Attitude towards remote monitoring (IRR = 2.3, 95% CI: 1.1-4.7), computer use (IRR = 1.3, 95% CI: 1.162-3.023), frequently searching health-related information (IRR = 1.7, 95% CI: 1.459-6.570), gender (IRR = 1.2, 95% CI: 1.0-5.1), awareness towards remote monitoring (IRR = 1.4, 95% CI: 1.1-2.7) were significantly associated with willingness to use information technologies.ConclusionImproving the intention and skill of using computers should be a major point of attention for teaching hospitals who wish to improve their care providers' attitudes to remote monitoring and willingness in using information technologies. Besides, the awareness of professionals is crucial for improving willingness.
| S-EPMC7818744 | biostudies-literature
Project description:IntroductionThis article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. "Smart Medical Information Technology for Healthcare (SMITH)" is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH's goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach.ObjectivesTo give insight into architectural design issues underlying SMITH data integration and to introduce the use cases to be implemented.Governance and policiesSMITH implements a federated approach as well for its governance structure as for its information system architecture. SMITH has designed a generic concept for its data integration centers. They share identical services and functionalities to take best advantage of the interoperability architectures and of the data use and access process planned. The DICs provide access to the local hospitals' Electronic Medical Records (EMR). This is based on data trustee and privacy management services. DIC staff will curate and amend EMR data in the Health Data Storage.Methodology and architectural frameworkTo share medical and research data, SMITH's information system is based on communication and storage standards. We use the Reference Model of the Open Archival Information System and will consistently implement profiles of Integrating the Health Care Enterprise (IHE) and Health Level Seven (HL7) standards. Standard terminologies will be applied. The SMITH Market Place will be used for devising agreements on data access and distribution. 3LGM2 for enterprise architecture modeling supports a consistent development process.The DIC reference architecture determines the services, applications and the standardsbased communication links needed for efficiently supporting the ingesting, data nourishing, trustee, privacy management and data transfer tasks of the SMITH DICs. The reference architecture is adopted at the local sites. Data sharing services and the market place enable interoperability.Use casesThe methodological use case "Phenotype Pipeline" (PheP) constructs algorithms for annotations and analyses of patient-related phenotypes according to classification rules or statistical models based on structured data. Unstructured textual data will be subject to natural language processing to permit integration into the phenotyping algorithms. The clinical use case "Algorithmic Surveillance of ICU Patients" (ASIC) focusses on patients in Intensive Care Units (ICU) with the acute respiratory distress syndrome (ARDS). A model-based decision-support system will give advice for mechanical ventilation. The clinical use case HELP develops a "hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with blood-stream infections" (HELP). ASIC and HELP use the PheP. The clinical benefit of the use cases ASIC and HELP will be demonstrated in a change of care clinical trial based on a step wedge design.DiscussionSMITH's strength is the modular, reusable IT architecture based on interoperability standards, the integration of the hospitals' information management departments and the public-private partnership. The project aims at sustainability beyond the first 4-year funding period.
| S-EPMC6193398 | biostudies-literature
Project description:China has the highest mortality rate caused by diseases and conditions associated with its high-salt diet. Since 2016, China has initiated a national salt reduction campaign that aims at promoting the usage of salt information on food labels and salt-restriction spoons and reducing condiment and pickled food intake. However, factors affecting individuals' decisions to adopt these salt reduction measures remain largely unknown. By comparing the performances of logistic regression, stepwise logistic regression, lasso logistic regression and adaptive lasso logistic regression, this study aims to fill this gap by analyzing the adoption behaviour of 1610 individuals from a nationally representative online survey. It was found that the practices were far from adopted and only 26.40%, 22.98%, 33.54% and 37.20% reported the adoption of labelled salt information, salt-restriction spoons, reduced condiment use in home cooking and reduced pickled food intake, respectively. Knowledge on salt, the perceived benefits of salt reduction, participation in nutrition education and training programs on sodium reduction were positively associated with using salt information labels. Adoption of the other measures was largely explained by people's awareness of hypertension risks and taste preferences. It is therefore recommended that policy interventions should enhance Chinese individuals' knowledge of salt, raise the awareness of the benefits associated with a low-salt diet and the risks associated with consuming excessive salt and reshape their taste choices.
| S-EPMC7827444 | biostudies-literature
Project description:Background and Objectives:Numerous technology applications are available that have the potential to improve the quality of life (QoL) of older adults. However, older adults are less likely to adopt new and emerging technologies and reap the potential benefits. This study examines factors that influence older adults' decisions about the adoption of new technology. Research Design and Methods:Fifty-two older adults participated in a mixed-method procedure, which entailed: (1) observing presentations detailing nine differing technologies, (2) assessing the technologies using tailored questionnaires, and (3) participating in focus group discussions. Participants were assigned into one of seven groups separated by age (65-74, 75+) and language (English, Spanish). The outcome was willingness to adopt technology. Predictors included self-assessed abilities (e.g., numeric ability), computer/Internet skills and knowledge, technology readiness, age, language, and technology ratings (e.g., perceived value). Analyses included Spearman's ?, t-tests, and regression analysis. Focus group discussions were examined for supportive examples. Results:Self-assessed abilities and computer/Internet skills were predictive of willingness to adopt technologies although the relationship varied according to the technology examined. Technology readiness, age, and language group showed weak associations with the outcome. Of the technology ratings, perceived value, confidence in ability to learn the technology, and the perceived impact on QoL were the most robust predictors of willingness to adopt technology. Discussion and Implications:Findings indicate that various stakeholders in technology adoption among older adults must be cognizant of a technology's functionality and complexity as well as the characteristics and abilities of older adults. However, certain factors such as perceptions about the value of the technology and potential impact on QoL are also critically important to decisions regarding technology adoption among older people.
| S-EPMC6177084 | biostudies-literature
Project description:Wearable device technology has recently been involved in the healthcare industry substantially. India is the world's third largest market for wearable devices and is projected to expand at a compound annual growth rate of ~26.33%. However, there is a paucity of literature analyzing the factors determining the acceptance of wearable healthcare device technology among low-middle-income countries. This cross-sectional, web-based survey aims to analyze the perceptions affecting the adoption and usage of wearable devices among the Indian population aged 16 years and above. A total of 495 responses were obtained. In all, 50.3% were aged between 25-50 years and 51.3% belonged to the lower-income group. While 62.2% of the participants reported using wearable devices for managing their health, 29.3% were using them daily. technology and task fitness (TTF) showed a significant positive correlation with connectivity (r = 0.716), health care (r = 0.780), communication (r = 0.637), infotainment (r = 0.598), perceived usefulness (PU) (r = 0.792), and perceived ease of use (PEOU) (r = 0.800). Behavioral intention (BI) to use wearable devices positively correlated with PEOU (r = 0.644) and PU (r = 0.711). All factors affecting the use of wearable devices studied had higher mean scores among participants who were already using wearable devices. Male respondents had significantly higher mean scores for BI (p = 0.034) and PEOU (p = 0.009). Respondents older than 25 years of age had higher mean scores for BI (p = 0.027) and Infotainment (p = 0.032). This study found a significant correlation with the adoption and acceptance of wearable devices for healthcare management in the Indian context.
| S-EPMC9740494 | biostudies-literature