Assessing validity and costs of virtual diagnostics for sleep disorders: A feasibility study

Abstract

Introduction

The use of digital solutions including patient-reported outcomes is limited to follow-up of patients with established diagnoses but is rarely used as first step of the diagnostic process substituting a personal contact with a health professional. We report on the diagnostic validity and cost per patient implications based on a feasibility study of a new virtual diagnostic service (VDS) for common neurological sleep disorders that, as a first step, involves the collection and automated analysis of self-reported digital patient data.

Methods

The VDS was established at the Odense University Hospital, Denmark. Assessment of diagnostic validity of the underlying algorithm was conducted independently and blinded. Estimation of effects on cost per patient was based on administrative hospital cost data comparing similar periods before and after the introduction of VDS and estimates for travel and time consumption to assess the patients’ economic benefits.

Results

A questionnaire-based algorithm was developed leveraging the diagnostic criteria of the American Academy of Sleep Medicine; comprehensibility was secured and improved by initial patient involvement. Parallel use of both the questionnaire and assessment by a senior sleep specialist of the first 20 patients revealed no discernible safety concerns and resulted in additional linguistic adaptions. The final questionnaire was completed by 123 of 157 patients (78.3%) identified as suitable for VDS. The questionnaire-based algorithm resulted in correct use of additional diagnostic procedures in 84 out of 95 patients with final diagnosis at data closure (88.4%, Cohen's kappa: 0.84). The algorithm proposed a specific diagnosis in 55 patients that was correct in 49.1% of cases (Cohen's kappa: 0.39). The economic analysis revealed a 46.7% reduction of the time from referral to diagnosis of the patient (226.5 days to 120.7 days). The average number of contacts with health professionals decreased from 2.15 to 1.26, the average direct costs per patients were reduced by 39.6% from 1811 Danish Kroner (DKK) to 1093 DKK. We estimated a 40.6% reduction of the total costs per patients from 3904 DKK to 2320 DKK including time consumption and travel costs.

Discussion

This first feasibility study indicates that use of digital diagnostic solutions as first step of the diagnostic process of neurological sleep disorders combined with an essentially complete virtual work flow has high accuracy and may be associated with reduced time for diagnostics and cost reductions for health providers and patients.