liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Patients, general practitioners, diseases and health problems in urban general practice: a cross-sectional study on electronic patient records
Karolinska Institutetet, Sweden.
Primary Health Care Centre Husläkarna i Kungsbacka, Sweden.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Göteborg University, Sweden.
Show others and affiliations
2008 (English)In: Primary Health Care Research and Development, ISSN 1463-4236, E-ISSN 1477-1128, Vol. 9, no 2, 119-125 p.Article in journal (Refereed) Published
Abstract [en]

Background Statistics from primary health care in Sweden, as well as from other Nordic countries, have been sparse. The electronic patient records (EPR) will be an increasingly important source of clinical information. The aim of this study was to investigate types of encounters, managed diseases and health problems, and characteristics of patients and general practitioners (GPs) in everyday general practice using EPR.

Methods A multi-centre, cross-sectional database study of EPR in primary health care in Stockholm, Sweden. Twenty-six randomly selected GPs with 20 randomly selected encounters each. Main outcome measures were the number and distribution of diseases and health problems, age and gender of patients and GPs, and type of encounter.

Results The mean age of the patients was 51.2 years, 30.2% were aged 75 years or older, and 57.5% were women. The mean number of managed problems per encounter was 1.4. The most common specific diagnoses were essential hypertension (9.3% of the encounters) and acute upper respiratory infections (8.8%). Older patients had more health problems in each encounter (P = 0.000001). GPs differed regarding the characteristics of their patients, including sex, age and number of health problems managed at each encounter. The patients of different GPs differed regarding sex, age and number of health problems managed. Female and male patients had different diagnostic panoramas and they had a tendency to encounter a GP of the same sex (odds ratio 1.5, P = 0.053).

Conclusions We found that two diagnoses (essential hypertension and acute upper respiratory infections), four diagnostic groups, women and the elderly are predominant. Female and male patients have different diagnostic panoramas and they have a tendency to encounter a GP of the same sex. GPs differ regarding the characteristics of their patients, including sex, age and number of health problems managed at each encounter.

Place, publisher, year, edition, pages
Cambridge University Press, 2008. Vol. 9, no 2, 119-125 p.
Keyword [en]
health problems; patient gender; physician gender; primary care
National Category
Computer and Information Science Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-21861DOI: 10.1017/S1463423608000649OAI: oai:DiVA.org:liu-21861DiVA: diva2:241837
Available from: 2009-10-06 Created: 2009-10-06 Last updated: 2017-12-13

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Åhlfeldt, Hans

Search in DiVA

By author/editor
Åhlfeldt, Hans
By organisation
Medical InformaticsThe Institute of Technology
In the same journal
Primary Health Care Research and Development
Computer and Information ScienceMedical Laboratory and Measurements Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 510 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf