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Table 3 shows descriptive statistics for measures of impairment, needs, inputs and outcome across the three follow-up phases.
Thus, if we really want to understand what works best for which patients, clinical data sets must provide information at all three levels – needs, inputs and outcomes.
The dataset gathers a common dataset of patient-level information on needs, inputs and outcomes across all conditions presenting for neurological rehabilitation.
This paper describes further development of the LTNC dataset to identify a manageable set of tools suitable for use in routine practice to measure needs, inputs and outcomes from community-based rehabilitation and support services.
Despite these recognised limitations, the study provides useful insights into the potential value of an LTNC register and its associated tools as a means to monitor needs, inputs and outcomes for patients with LTNC.
This article is divided into two parts: In part A, we describe the further development and piloting of the proposed LTNC register and a feasible dataset that could be used in the course of routine practice to monitor needs, inputs and outcomes for people with LTNCs in the community.
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