Computerisation, coding, data retrieval and related attitudes among Swedish general practitioners-a survey of necessary conditions for a database of diseases and health problems.
OBJECTIVE
To investigate necessary conditions for the establishment of a database of diseases and health problems for research and health care planning, based on electronic patient records in everyday clinical use among general practitioners (GPs).


METHODS
Postal questionnaire study.


METHODS
Primary health care in Sweden.


METHODS
Three hundred randomly selected GPs.


METHODS
Degree of computerisation of patient records. User frequency and characteristics of diagnosis classification systems and coding tools. Frequency of coding activities and retrieval of codes, and related attitudes. Opinions on a primary health care version of ICD-10.


RESULTS
A total of 184 GPs (61% of the 300 GPs) were included in the study. About 92% used an electronic record system, some type of diagnostic classification was used by 93%, and ICD based classifications by 88%. The classification in use was computerised for 74%. Mainly simple tools were used to retrieve diagnostic codes. About 76% of GPs reported classifying at least one symptom or disease per encounter. The codes were retrieved 'once a month' or more by 19%. Classification of diseases was considered important for follow-up by 83%, and for the care of the patient by 75% of the GPs. The primary health care version of ICD-10 with a total of 972 codes was considered too limited in size by 31%.


CONCLUSIONS
Electronic patient records in everyday clinical use in Swedish general practice provide several fundamentals for a database of diagnostic data. However, there are several barriers to the establishment of such a database that is both valid and reliable.
Nilsson
Gunnar
G
Department of Clinical Science, Family Medicine Stockholm, Karolinska Institutet, Novum, SE-141 57 Huddinge, Sweden. gunnar.nilsson@nlpo.sll.se
Ahlfeldt
Hans
H
Strender
Lars-Erik
LE
D000704:Analysis of Variance; D001291:Attitude of Health Personnel; D016009:Chi-Square Distribution; D016208:Databases, Factual; D004194:Disease / Q000145:classification*; D006801:Humans; D016347:Medical Records Systems, Computerized; D010821:Physicians, Family; D018709:Statistics, Nonparametric; D011795:Surveys and Questionnaires; D013548:Sweden