Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?

BACKGROUND: Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search. METHODS: We examined the electronic health records (EHRs) of 6,387 patients from the UK, aged 30 years and older, with a first coded diagnosis of RA between 2005 and 2008. We listed indicators for RA which were present in coded format and ran keyword searches for similar information held in free text. The frequency of indicator code groups and keywords from one year before to 14 days after RA diagnosis were compared, and temporal relationships examined. RESULTS: One or more keyword for RA was found in the free text in 29% of patients prior to the RA diagnostic code. Keywords for inflammatory arthritis diagnoses were present for 14% of patients whereas only 11% had a diagnostic code. Codes for synovitis were found in 3% of patients, but keywords were identified in an additional 17%. In 13% of patients there was evidence of a positive rheumatoid factor test in text only, uncoded. No gender differences were found. Keywords generally occurred close in time to the coded diagnosis of rheumatoid arthritis. They were often found under codes indicating letters and communications. CONCLUSIONS: Potential cases may be missed or wrongly dated when coded data alone are used to identify patients with RA, as diagnostic suspicions are frequently confined to text. The use of EHRs to create disease registers or assess quality of care will be misleading if free text information is not taken into account. Methods to facilitate the automated processing of text need to be developed and implemented.

Disease-specific training in Parkinson's disease for care assistants: a comparison of interactive and self-study methods.

OBJECTIVE: To compare two approaches to providing training to care assistants in Parkinson's disease. DESIGN: Pragmatic parallel arm controlled trial. SETTING: Training either by an interactive training day at a local medical education establishment or self study. SUBJECTS: Care assistants recruited from local health and social care providers. INTERVENTIONS: The content of both interventions was similar, covering causes, symptoms, diagnosis of Parkinson's disease, multidisciplinary management, mobility, communication, swallowing, and involving 5 hours of study time. MAIN MEASURES: Knowledge about Parkinson's (assessed by true/false quizzes and identifying 'four facts' about Parkinson's) immediately post training and six weeks later; views on training methods of care assistants and employers/managers. RESULTS: Thirty-seven employers nominated 100 care staff who were allocated to interactive training (49) and self study (51). Training completion rates (retained to six-week follow-up) were lower for self study (42.1% vs. 83.7% training day). There were no significant differences between groups on quiz or 'four facts' scores at baseline or six-week follow-up. Immediately post training, the self-study group (with access to written materials) had significantly higher quiz scores than the training day group (no access to materials at test). Within-group comparisons showed improvements post training. Although interactive training may be preferred, obtaining release from duties can be problematic. CONCLUSIONS: Both approaches have similar effects on knowledge of care assistants without prior specific training. Providing a variety of approaches will cater for all preferences. The findings may be generalizable to training the care workforce for other specific roles.