2 research outputs found

    Sustaining telecare consultations in nurse-led clinics: Perceptions of stroke patients and advanced practice nurses: A qualitative study

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    Objective The ongoing pandemic has accentuated the use of telecare services; however, only limited progress has been made in understanding the barriers and facilitators to using these services. In order to move towards sustaining such essential services, the present study aimed to ascertain the experiences of stroke survivors and healthcare providers regarding the utilization of a post-stroke telecare service in Hong Kong. Methods Interpretive description was employed for this study. Semi-structured discussions and interviews were undertaken with nine stroke survivors and four stroke nurses who delivered the telecare services. The principles of thematic analysis were inductively followed to analyse the data. The Standards for Reporting Qualitative Research checklist was used to guide the reporting of the data. Results Three themes emerged: (a) pre-existing post-discharge service pathways; (b) push factors/facilitators for telecare usage; and (c) barriers to telecare usage. Overall, the telecare service was considered a significant alternative and one that complements conventional face-to-face follow-ups. Stroke survivors were motivated to use the service because it was convenient and flexible. However, significant barriers exist, including technical issues and a lack of guidelines and training opportunities for healthcare providers. Conclusions Although telecare is still evolving, several factors drive stroke survivors to use the service. Attention needs to be paid to the emerging barriers to improve long-term usage of the service. Clear guidelines are needed to underpin the development and implementation of telecare services

    Outcomes of a risk assessment and management program using telecare consultation among patients with diabetes mellitus in general out-patient clinic: a hybrid effectiveness-implementation study protocol

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    AbstractDiabetes Mellitus (DM) is a chronic disease characterized by abnormally uncontrolled high blood glucose level. The Risk Assessment and Management Program (RAMP) in Hong Kong has been providing long-term face-to-face follow-up to DM patients in the government out-patient clinics since 2009. However, under the current outbreak of COVID-19, these face-to-face consultations were ceased over and over again to lower the risk of disease transmission. With the advancement in technology, the recent emergence of telecare has provided an alternative to replace the conventional consultations in the clinics. Its clinical effectiveness on DM patients has also been supported by numerous studies. Yet, there is only a paucity of literatures discussing the practicality of such implementation design in the real-world settings. This study aims at studying both the effectiveness and implementation outcomes of telecare in Hong Kong DM patients. It adopts a type 2 hybrid effectiveness-implementation design. It will be conducted in seven government out-patient clinics in Hong Kong. The subjects will be randomly assigned to an intervention group or a control group when they 1) are aged 18 or above, 2) have a confirmed diagnosis of diabetes, and 3) are having regular follow-up appointment in the clinic. Subjects in the intervention group will receive a 84-week Risk Assessment and Management Program (RAMP) in an alternate telecare and face-to-face consultations mode, while the control group will receive the same program but in usual face-to-face consultation mode. RE-AIM is employed as the implementation and effectiveness outcome evaluation framework. The primary outcome measure will be HbA1c. Data will be collected pre-intervention (T1), 42-week (T2), and 84-week (T3). The study will provide effectiveness-implementation assessment of telecare mode for DM patients in Hong Kong, as an alternative or in addition to conventional face-to-face consultations. It also aimed to provide insights for the future adoption in a broader health care setting
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