Scaling-up digital follow-up care services: collaborative development and implementation of Remote Patient Monitoring pilot initiatives to increase access to follow-up care

Background

COVID-19 increased the demand for Remote Patient Monitoring (RPM) services as a rapid solution for safe patient follow-up in a lockdown context. Time and resource constraints resulted in unplanned scaled-up RPM pilot initiatives posing risks to the access and quality of care. Scalability and rapid implementation of RPM services require social change and active collaboration between stakeholders. Therefore, a participatory action research (PAR) approach is needed to support the collaborative development of the technological component while simultaneously implementing and evaluating the RPM service through critical action-reflection cycles.

Objective

This study aims to demonstrate how PAR can be used to guide the scalability design of RPM pilot initiatives and the implementation of RPM-based follow-up services.

Methods

Using a case study strategy, we described the PAR team's (nurses, physicians, developers, and researchers) activities within and across the four phases of the research process (problem definition, planning, action, and reflection). Team meetings were analyzed through content analysis and descriptive statistics. The PAR team selected ex-ante pilot initiatives to reflect upon features feedback and participatory level assessment. Pilot initiatives were investigated using semi-structured interviews transcribed and coded into themes following the principles of grounded theory and pilot meetings minutes and reports through content analysis. The PAR team used the MoSCoW prioritization method to define the set of features and descriptive statistics to reflect on the performance of the PAR approach.

Results

The approach involved two action-reflection cycles. From the 15 features identified, the team classified 11 as must-haves in the scaled-up version. The participation was similar among researchers (52.9%), developers (47.5%), and physicians (46.7%), who focused on suggesting and planning actions. Nurses with the lowest participation (5.8%) focused on knowledge sharing and generation. The top three meeting outcomes were: improved research and development system (35.0%), socio-technical-economic constraints characterization (25.2%), and understanding of end-user technology utilization (22.0%).

Conclusion

The scalability and implementation of RPM services must consider contextual factors, such as individuals' and organizations' interests and needs. The PAR approach supports simultaneously designing, developing, testing, and evaluating the RPM technological features, in a real-world context, with the participation of healthcare professionals, developers, and researchers.

The cost of diagnosis and early support in patients with cognitive decline

OBJECTIVE

Recent research indicates considerable heterogeneity in the provision of memory assessment services (MAS). However, little is known on the extent of variation in the costs of the services MAS provide. We investigated the costs of supporting patients with suspected dementia, including assessment and support over the following 6 months.

METHODS

Clinic costs were estimated on the basis of an organisational survey reporting staff roll, grade and activities. Costs of primary health and social care were estimated from questionnaire data reported by carers of patients at baseline, 3 and 6 months after referral.

RESULTS

Mean monthly staff costs at MAS were £73 000. Imaging at assessment costs an additional £3500 per month. Monthly clinic cost per new patient assessed varied from £320 to £5400 across clinics. Additional primary health and social care costs of £130-220 a month between baseline and 6 months were reported by carers. Costs of pharmacological and non-pharmacological treatments reported by carers were small. Informal care costs dwarfed health and social care costs when valued at a modest unit cost. The overall mean cost of supporting a patient for 6 months varied from £1600 to £2500 dependent on assumptions regarding the proportion of MAS intervention and review costs accrued at 6 months.

CONCLUSIONS

There is considerable variation in the intensity and associated costs of services provided by MAS. Further research should ascertain to what extent such variation is associated with differences in patient outcomes. Copyright © 2016 John Wiley & Sons, Ltd.

Open referral policy within a nurse-led memory clinic: patient demographics, assessment scores, and diagnostic profiles

BACKGROUND

Memory clinics, typically led by multidisciplinary teams and requiring health professional referral, are one means of providing diagnosis and care coordination for dementia. Nurse-led clinics may provide an effective and alternative means to dementia diagnosis, and open referral policies may minimize existing barriers to accessing a diagnosis, but evidence is needed.

METHODS

Patients attending a one-day per week nurse-led memory clinic over a 25-month period during 2011-2013 (n = 106) completed comprehensive cognitive assessments and were diagnosed by an aged care nurse practitioner. Descriptive statistics detail the demographics, assessment scores, and diagnostic profiles of patients. Comparable data from published literature was identified, and the differences were analyzed qualitatively.

RESULTS

One hundred and six patients were assessed with the key differences from other data sets being history of falls more common, higher mean Mini-Mental State Examination scores, and fewer dementia diagnoses. Sixty-four patients (60%) were self-referred to the nurse-led memory clinic, of which 19 (30%) were diagnosed with mild cognitive impairment (MCI) or dementia. Overall, forty-eight patients (45%) received diagnoses of MCI or dementia.

CONCLUSIONS

An open referral policy led to a high proportion of patients being self-referred, and nearly a third of these were diagnosed with cognitive impairment or dementia. Open referral policies and nurse-led services may overcome some of the barriers to early diagnosis that are currently experienced. Considering an aging population worldwide and the associated increases in cognitive impairment, which benefits from early identification and intervention, this paper provides an alternative model of nurse-led assessment.