ABSTRACT
BACKGROUND AND OBJECTIVES: Sustainable implementation of patient-oriented technologies in health care settings is challenging. Preimplementation studies guided by the Consolidated Framework for Implementation Research (CFIR) can provide opportunities to address barriers and leverage facilitators that can maximize the likelihood of successful implementation. When looking to implement patient-oriented technologies, preimplementation studies may also benefit from guidance from a conceptual framework specific to technology adoption such as the Unified Theory of Acceptance and Use of Technology. This study was, therefore, aimed at identifying determinants for the successful implementation of a patient-oriented technology (i.e., automated pain behavior monitoring [APBM] system) within a health care setting (i.e., long-term care [LTC] facility). RESEARCH DESIGN AND METHODS: Using a mixed-methods study design, 164 LTC nurses completed a set of questionnaires and 68 LTC staff participated in individual interviews involving their perceptions of an APBM system in LTC environments. Quantitative data were analyzed using a series of mediation analyses and narrative responses were examined using directed content analysis. RESULTS: Performance expectancy and effort expectancy partially and fully mediated the influence of implementation, readiness for organizational change, and technology readiness constructs on behavioral intentions to use the APBM system in LTC environments. Findings from the qualitative portion of this study provide guidance for the development of an intervention that is grounded in the CFIR. DISCUSSION AND IMPLICATIONS: Based on our results, we offer recommendations for the implementation of patient-oriented technologies in health care settings.
Subject(s)
Implementation Science , Primary Health Care , Humans , Research DesignABSTRACT
BACKGROUND: Pain among long-term care (LTC) residents, and especially residents with dementia, is often underassessed and this underassessment has been attributed, in part, to gaps in front-line staff education. Furthermore, although evidence-based clinical guidelines for pain assessment in LTC are available, pain assessment protocols are often inconsistently implemented and, when they are implemented, it is usually within urban LTC facilities located in large metropolitan centers. Implementation science methodologies are needed so that changes in pain assessment practices can be integrated in rural facilities. Thus, our purpose was to evaluate an online pain assessment training program and implement a standardized pain assessment protocol in rural LTC environments. METHODS: During the baseline and implementation periods, we obtained facility-wide pain-related quality indicators from seven rural LTC homes. Prior to implementing the protocol, front-line staff completed the online training program. Front-line staff also completed a set of self-report questionnaires and semi-structured interviews prior to and following completion of the online training program. RESULTS: Results indicated that knowledge about pain assessment significantly increased following completion of the online training program. Implementation of the standardized protocol resulted in more frequent pain assessments on admission and on a weekly basis, although improvements in the timeliness of follow-up assessments for those identified as having moderate to severe pain were not as consistent. Directed content analysis of semi-structured interviews revealed that the online training program and standardized protocol were well-received despite a few barriers to effective implementation. CONCLUSIONS: In conclusion, we demonstrated the feasibility of the remote delivery of an online training program and implementation of a standardized protocol to address the underassessment of pain in rural LTC facilities.
