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Ronan Lyons a Department of Public Health, Iechyd
Morgannwg Health, Swansea SA1 1LT, b Accident and Emergency
Department, Morriston Hospital NHS Trust, Swansea SA6
6NL, c Department of Otolaryngology, Swansea NHS Trust, Singleton
Hospital, Swansea SA2 8QA
Correspondence to: Dr
Payne chris_payne{at}compuserve.com
Concern has been expressed that poor legibility of
doctors' handwriting may lead to prescription errors1 and
problems with referral letters.2 Using computer technology
to assess handwriting in an objective manner, we compared doctors'
handwriting with that of administrative staff and other healthcare
professionals in a Welsh health district.
We contacted the staff in three main settings For the analysis, the staff were divided into three groups: doctors,
nurses plus other medical professions, and administrative staff. We
collated the results with the SPSS statistical program. As
the error scores were not normally distributed, we used median values
when comparing each group and used the Kruskal-Wallis or Mann-Whitney U
test to test any observed differences for significance. In order to
control for possible confounding we examined the effects of sex,
setting, and age separately.
The table shows the median legibility error score for each professional
group. Numeric legibility was similar for all groups and not considered
further. For letters there was a significant difference between the
groups (P=0.006). The doctors had a higher median score compared with
the other two groups individually (P=0.01 for nurses plus other medical
professions, P=0.005 for administrative staff) or combined (P=0.001).
Analysis of female respondents alone revealed a similar pattern, with
the doctors having a higher median error score than the other two
groups (P=0.032 for nurses plus other medical professions, P=0.09 for
administrative staff, P=0.036 for the groups
combined).
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Subjects, methods, and results
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Subjects, methods, and results
Comment
References
the health
authority headquarters, an accident and emergency department, and
various departments in another hospital
and asked them to complete a
form that contained boxes for the respondent's name, the 26 letters of
the alphabet, and the digits 0-9. They were told that examples of
handwriting were needed to test computer software for optical character
recognition and were asked to write as neatly as possible. All 92 staff
present in the three settings were asked to participate, and none
refused. We analysed their responses with Teleform, a software package
that allows handwritten replies on standard forms to be scanned and
translated into text for computer analysis.3 Any
unrecognised characters are highlighted, and an error score is
generated.
The doctors had a slightly higher median age (37.5 years) than did the
other two groups (33.0 years and 31.5 years respectively), but this
difference was not significant (P=0.78), nor was there any significant
effect of age on legibility for all respondents or for doctors alone.
The doctors in each of the three main settings
health authority
headquarters, accident and emergency department, and departments in
another hospital
had similar median error scores (7.0, 7.0, and 8.0 respectively, P=0.51).
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This study suggests that doctors, even when asked to be as neat as possible, produce handwriting that is worse than that of other professions. This provides supportive evidence for the commonly held belief that the legibility of doctors' handwriting is unusually poor. A small prospective study in the United States reported no difference between the legibility of doctors' handwriting and that of other healthcare professionals,4 but this study used a subjective assessment of readability and the comparison group was confined to senior non-medical staff.
A surprising finding of our study is that the poor legibility was confined to letters of the alphabet rather than numbers. This may reflect the importance attached by doctors to the legibility of drug doses.
The software used in this study was not intended primarily to assess the quality of handwriting. However, it is possible that further development of handwriting recognition technology will lead to a clinical and epidemiological tool that would be particularly useful for monitoring change in individual performance over time.
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Acknowledgments |
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Contributors: RL conceived and designed the study, designed the forms, and provided critical comment on the analysis and writing up. CP contributed to the study design, undertook data analysis, and wrote the article. MMcC and CF recruited participants, supervised data collection in the two hospital settings, and provided comments on the text.
Funding: None.
Conflict of interest: None.
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(Accepted 16 July 1998)
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