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Scandinavian Journal of Primary Health Care logoLink to Scandinavian Journal of Primary Health Care
. 2012 Jun;30(2):70–75. doi: 10.3109/02813432.2012.679230

Reasons for encounter and disease patterns in Danish primary care: Changes over 16 years

Grete Moth 1, Frede Olesen 1, Peter Vedsted 1
PMCID: PMC3378007  PMID: 22643150

Abstract

Objective

Approximately 98% of Danish citizens are listed with a general practice which they consult for medical advice. Although 85% of the population contact their general practitioner (GP) every year, little is known about these contacts. The aim of the present paper is to gain updated knowledge about patients’ reasons for encounter and the GP activities and to make comparisons with a similar study from 1993.

Methods

All GPs in the Central Denmark Region were invited to register all contacts during one randomly chosen day within a year. The registration included questions about patients’ reasons for encounter, the types and contents of the contacts, referrals, and distribution between new episodes and follow-up contacts. Aggregated data were compared with the results from 1993.

Results

A total of 404 (46%) GPs participated. The number of contacts per 1000 inhabitants had risen by 19.7%. The reasons for encounter and final diagnoses resembled those in 1993. Musculoskeletal, psychological, and respiratory problems were the most common reasons for encounter, psychological problems being the only type to increase over the period. Interestingly, the proportion of diagnoses within the ICPC ‘A’ chapter rose from 13.5 to 19.7%. The referral rate rose by 2% (relative: 18.7%) from 10.7% to 12.7% and the share of follow-up contacts rose from 45.9% to 50.4% (relative: 8.7%).

Conclusion

Quite small changes were seen in the patterns of reasons for encounter and diagnoses from 1993 to 2009. However, an increase was found in contacts with general practice and referrals and in the proportion of follow-ups.

Key Words: Denmark, diagnoses, general practice, reasons for encounter, referral rate


Little is known about the trends in contacts with Danish general practice.

  • The number of contacts per 100 000 citizens rose by 19.7% from 1993 to 2009.

  • The number of referrals for specialist treatment or diagnostic imaging per consultation rose by 2% from 1993 to 2009.

  • Musculoskeletal and respiratory problems remained among the most common reasons for encounters and diagnoses. Diagnoses in the ‘A’ chapter of ICPC rose from 13.5% to 19.7%.

  • The proportion of follow-up contacts rose only slightly to nearly 50% of the consultations. However, this seemed to be due to an increased use of nurses whose follow- up contacts accounted for 76% of all their contacts.

Introduction

Nearly all Danish citizens (98%) are listed with a general practice [1]. Danish general practitioners (GPs) act as gatekeepers to secondary care [2]. Except when dialling 112 for emergency cases, the patients need a referral from their GP to obtain specialist care for hospital admission or for access to an outpatient clinic. General practice thus forms the front line of the health care system [1,3,4]. The Danish health care system favours interpersonal doctor–patient continuity of care, which is highly valued by the patients [5]. During one year about 85% of all citizens are in contact with their GP [6]. Paradoxically, little is known about the contents of these contacts.

Danish GPs operate on a mixed fee-for-service and capitation basis and all contacts are registered with the national Health Insurance Service Registry [7,8]. The register does not contain information on the reasons for the encounter (RFE) and the final diagnoses. Such data must be obtained elsewhere.

A 1993 survey of patients’ RFE shed light on some of these issues [9]. According to this survey, GPs managed 89.3% and referred 10.7% of all contacts to specialists. The important implication of this is that a small increase of 1% in referrals would produce a relative increase of about 10% in the number of referrals to the secondary health system. Changes in consultation trends in general practice therefore have health care expenditure implications and should be monitored to enable health care priorities and resource allocation to be tailored to patients’ needs.

The entire health care sector has witnessed increased specialization, centralization and much technological change over the past decades [10,11]. Over time, these developments have affected the pattern of the activities in the primary health care sector.

The aim of the present study is to provide updated knowledge on patient contacts with general practice and to describe developments over the past 16 years with regard to number of contacts, reasons for encounter, diagnoses, and referral rates.

Material and methods

A cross-sectional study was performed covering a 12-month period with all seasons represented from December 2008 to December 2009. All GPs in the Central Denmark Region (which accounts for approximately 20% of the Danish population) were invited to participate by registering all patient contacts during one day (alternatively one morning + one afternoon). The random allocation of dates for participating was based on the initial letter of the GP's first name. Dates were changed if they coincided with days off work or other atypical days. A week before the appointed date, 60 registration forms were sent to each GP together with written instructions. The GPs were offered a visit by the main investigator for further advice. The registration form encompassed a range of questions addressing the following themes: background information on the patient, type of contact, RFE and final diagnosis, and the content of the contact, including a question on whether the patient had raised additional problems beside the main reason for encounter during the consultation. RFEs and diagnoses were written in text or stated by codes using the International Classification of Primary Care (ICPC) [12,13]. If the diagnosis had not been stated by the GPs it was coded by the research team based on information on RFE and the procedures performed. The ICPC coding was done by an experienced medical student, who was trained in ICPC coding. We reviewed the ICPC codes applied by the GPs to make sure that the codes were not inconsistent with ICPC-2 in case the GPs had used ICPC-1. Afterwards, all codes were validated by one of the authors (GM). In order to make the results comparable to the results from 1993 the processes and procedures without specification of organ were added to A (General and unspecified).

The survey from 1993 was performed in the county of Aarhus and involved 328 participating GPs (88%). RFEs and diagnoses were coded afterwards using ICPC-1. The 1993 survey did not involve the clinical staff. Consequently, the GPs registered all patient contacts during one day. In 2003 clinical staff gained permission to perform unassisted clinical tasks without involvement of the GP. Therefore, in order to be able to compare the results of the two surveys, we asked the GPs to let their clinical staff register patient contacts too. Instructions and 30 registration forms per participating staff member were sent a week before registration.

The GPs received payment (€32) for their participation and for each registered contact (€3). The GPs received an extra fee (€67) for staff participation.

Data analysis

We used chi-squared tests to analyse the representativeness of the participating GPs with respect to gender, seniority, type of practice, and number of listed patients. Data on the RFEs and diagnoses, new episodes and follow-up contacts and contacts with referrals were calculated and presented with the corresponding percentages for 1993.

Not all GPs wanted their clinical staff to participate. We therefore extrapolated the number of contacts in practices where staff participated to the total number of participating GPs while taking into account the background information on type and number of staff in each practice. In this calculation, we included only the contacts of the nurses based on the assumption that only the nurses substituted for the GP in performing unassisted clinical tasks. Data on the number of contacts with GPs in 1993 and in 2009 were achieved from the National Health Insurance department [7].

Poisson regression was used to compare the number of contacts per 1000 inhabitants. Two- sample tests of proportion were used to compare the results from 1993 with the results of the present study. For proportions we calculated the 95% confidence intervals (95% CI).

Results

Among the 871 invited GPs, 404 gave their consent to participation (46.4%). With regard to the type of practice and the number of listed patients, there were no statistically significant differences between participants and all GPs (Table I). Women were overrepresented in the participating group by 5.9% (p =0.002) and GPs with more than 20 years in practice were underrepresented by 4.4% (p =0.007). There were no statistically significant differences in the age and gender distribution between the listed patients of participating GPs and whole group of GPs (results not shown). The participating GPs were geographically spread all over the region, though with statistically significant differences in participation rate between the municipalities (p =0.002). The 404 days of registration were equally spread between spring–summer (204) and autumn–winter (200) though with fewer in the summer period (67). Likewise, all weekdays were represented, though with fewer Fridays (45), which is in accordance with shorter working days on Fridays for many GPs and fewer Mondays (68) compared with Tuesdays (109), Wednesdays (92), and Thursdays (90). However, further analyses showed no difference in number of contacts, types of RFEs, or the share of follow-up visits versus new episodes between the weekdays (results not shown). Table II shows an increase in the activity in general practice over 16 years. The total number of contacts with GPs per 1000 inhabitants rose by 19.7% from 1993 to 2009. The decrease in the proportion of telephone contacts mirrored an increase in electronic communication, which was not an option in 1993.

Table I.

Representativeness of participating GPs with regard to gender, seniority, type of practice, and number of listed patients per GP.

GP characteristics Participating GPs n = 404 All GPs in the region n = 871 p-value
Gender
  Male 224 (55.4) 532 (61.1) 0.002
  Female 180 (44.6) 339 (38.9)
Number of years in practice
  <5 107 (26.5) 210 (24.1) 0.007
  5–10 77 (19.1) 160 (18.4)
  10–20 139 (34.4) 279 (32.0)
  >20 81 (20.1) 222 (25.5)
Type of practice
  Single-handed 97 (24.0) 215 (24.7) 0.700
  Group 307 (76.0) 656 (75.3)
Number of list patients per GP
  <1000 25 (6.2) 70 (8.0) 0.400
  1000–1499 225 (55.7) 443 (50.9)
  1500–1999 137 (33.9) 315 (36.2)
  >1999 17 (4.2) 43 (4.9)

Table II.

Distribution of types of contact1 in 2009 and in 1993 per 1000 inhabitants.

Types of contact 2009 (%) 1993 (%) Difference (%) Test of difference p-value
Clinic consultations 3703 (54.9) 2960 (52.5) 743 (25.1) <0.001
Telephone contacts 2584 (38.3) 2491 (44.2) 93 (3.9) <0.001
Home visits 94 (1.4) 184 (3.3) –90 (–48.9) <0.001
Email contacts 365 (5.4) n/a n/a n/a
All 6746 (100) 5635 (100) 1111 (19.7) <0.001

Note: 1Based on registry data from the National Health Insurance Service Registry.

Patient contacts

The study included 15 178 patient contacts (13 090 GP contacts and 2088 nurse contacts). Table III shows the frequencies of the RFEs and diagnoses of the symptom- and disease-related GP contacts (prophylactic contacts and nurse contacts excluded) classified according to the 17 ICPC chapters for 1993 and 2009. The final diagnosis was extrapolated from the RFE in 3966 (30.3%) of the registered contacts. Beside the general ICPC chapter (A), in which we included processes (prescriptions, certificates etc.), musculoskeletal, psychological, and respiratory problems were the most common RFEs. This was also the case in the 1993 survey except that skin problems were more common than psychological problems. Additional problems beside the main reason for encounter were discussed during 35% of GP consultations.

Table III.

ICPC distribution of reasons for encounters and final diagnoses in symptom- and disease-related GP contacts in 2009 (nurse contacts not included) in comparison with corresponding shares for 1993.

Reason for encounter
Diagnosis
ICPC chapter 2009 (%) 1993 (%) p-value* 2009 (%) 1993 (%) p-value*
A: General 2828 (23.8) 15.7 <0.001 2334 (19.7) 13.5 <0.001
B: Blood 95 (0.8) 1.0 0.108 112 (0.9) 1.0 0.434
D: Digestive 641 (5.4) 6.0 0.050 622 (5.2) 5.4 0.499
F: Eye 177 (1.5) 1.7 0.227 182 (1.4) 1.6 0.212
H: Ear 188 (1.6) 2.2 0.001 209 (1.8) 2.3 0.007
K: Circulatory 905 (7.6) 7.1 0.147 1036 (8.7) 9.1 0.287
L: Musculoskeletal 1703 (14.3) 14.8 0.283 1717 (14.5) 15.1 0.200
N: Neurological 361 (3.0) 4.2 <0.001 358 (3.0) 3.3 0.193
P: Psychological 1021 (8.6) 8.1 0.171 1107 (9.3) 8.5 0.033
R: Respiratory 1171 (9.9) 12.9 <0.001 1286 (10.8) 14.1 <0.001
S: Skin 980 (8.3) 10.6 <0.001 994 (8.4) 10.4 <0.001
T: Metabolic 469 (4.0) 4.2 0.445 544 (4.6) 4.9 0.285
U: Urinary 386 (3.3) 3.3 1.0 410 (3.5) 3.2 0.207
W: Pregnancy 263 (2.2) 1.6 0.001 280 (2.4) 1.6 <0.001
X: Female genitals 474 (4.0) 4.8 0.003 464 (3.9) 4.1 0.439
Y: Male genitals 123 (1.0) 0.8 0.109 138 (1.2) 0.9 0.026
Z: Social 87 (0.7) 1.0 0.013 79 (0.7) 0.8 <0.001
All 11 872 (100.0) 100.0 11 872 (100.0) 100.0

Note: *Test difference between 2009 and 1993.

The distribution by type of contact is given in Table IV. The share of follow-up contacts rose by 4% from 1993 to 2009. Table V shows a 2% increase (a relative increase of 8.7%) in referral rate from 1993 to 2009. This was primarily due to an increase in referrals to outpatient clinics and for diagnostic imaging.

Table IV.

Distribution of symptom- and disease-related contacts in 2009 (nurses’ contacts included) and 1993: New episodes vs. follow-up.

2009 Number of contacts (%)
GP contacts Nurse contacts All contacts 1993 Share of contacts (%) p-value
New episodes 5117 (43.1) 201 (13.6) 5318 (39.8) 42.0 0.080
Follow-up 5532 (46.6) 1123 (76.1) 6655 (49.9) 45.9 <0.001
No information 1223 (10.3) 152 (10.3) 1375 (10.3) 12.1 <0.001
All 11 872 (100.0) 1476 (100.0) 13 348 (100.0) 100.0

Table V.

Referrals to other parts of health care system in 2009 (nurse contacts not included) and in 1993.

2009
1993
Number of referrals (%) 95% CI Referral (%) 95% CI p–value
Primary care specialist 483 (3.7) 3.4–4.0 3.3 3.0–3.6 0.08
Outpatient clinic 497 (3.8) 3.5–4.1 2.0 0.2–2.3 <0.001
Hospital admission 115 (0.9) 0.7–1.1 0.9 0.7–1.1 1.0
Laboratory 199 (1.5) 1.3–1.7 2.5 2.2–2.8 <0.001
Diagnostic imaging 372 (2.9) 2.6–3.2 2.0 1.8–2.3 <0.001
All referrals 1666 (12.7) 12.1–13.3 10.7 10.2–11.2 <0.001

Discussion

Main findings

The number of contacts with general practice rose almost 20% between 1993 and 2009. Most of this increase can be ascribed to an increase in consultations. Diagnoses falling within the categories covered by the ICPC ‘A’ chapter represented the most prominent increase from 13.5% to 19.7%. This indicates that the GPs performed more procedures (prescriptions, etc.) and that more contacts with general practice did not lead to a specific diagnosis. Musculoskeletal, psychological, and respiratory problems remained the most common RFEs and diagnoses. Psychological diagnoses were, however, the only one of these groups of specific diagnoses to show an increase during the period.

The share of follow-up contacts in general practice rose from 1993 to 2009 mainly because of an increased use of nurses. Three-quarters of nurses’ contacts were follow-up contacts. We saw a 2% increase in the proportion of contacts leading to a referral, mainly due to a more pronounced use of outpatient clinics and diagnostic imaging. Given a 20% rise in the number of contacts, the 16-year period thus saw a 42% rise in referrals.

Strengths and weaknesses

The present survey is the largest of its kind in Denmark. With half of the GPs in the Central Denmark Region participating (11% of all GPs in Denmark) it opens the black box of activity in general practice. Despite the statistically significant differences between participating GPs and all GPs, the differences are of little clinical relevance for the findings of this study. We had fewer registration days in the summer period reflecting that this is a period with fewer working days due to the summer holidays. Despite regional differences in, for example, open access to A&E departments the Central Denmark Region is overall representative of the whole country with regard to contacts with general practice, hospitalizations, and the distribution of urban and rural areas [14]. Thus, mirroring the activity by GPs in the Central Denmark Region the study draws its conclusions on the basis of a large, representative sample of contacts with Danish general practice.

We accepted participation from GPs who did not want their staff to participate, mostly due to the workload, as the focus of the study was the GP experience of the work. However, obtaining information on the number of staff and number of work hours for staff members made it possible to extrapolate from the information of the participating staff to GPs with non-participating staff.

Based on the assumption that a staff member involved in a GP consultation might not know the patient's reason for attendance the staff registration form did not comprise questions about the RFEs and diagnoses. Therefore, the staff contacts are not included in the description of the RFEs and diagnoses. This may result in some uncertainty in the comparison with 1993. However, as the staff contacts made up only about 10% of all contacts this uncertainty is not likely to hamper the overall results.

Where the GPs stated two or more RFEs we included only the first on the assumption that this was the patient's most pressing problem. This exclusion procedure may introduce information bias; however, this bias is expected to play only a minor role as multiple RFEs accounted for only 5% of the contacts. Being aware that patients often have several things to discuss with the GP we added the question on whether additional problems beside the main RFE were raised during the contact. Thus, it was possible for the GP to pass on information regarding multiple problems without stating more than one RFE.

The GPs applied no diagnosis in 30% of the contacts but stated only the RFE, most often a symptom. In such cases, the code for the RFE was extrapolated to the diagnosis. We considered this relevant as it is often the case that the final diagnosis cannot be stated immediately in general practice. Comparisons of the RFE with the diagnosis at contact level (not shown) revealed a marked similarity indicating that the problem of omitted diagnoses is limited.

Comparisons with the literature

The 20% increase in contacts with general practice is remarkable as the number of GPs rose only 10.5% at a nationwide level [15]. This rise may partly be rooted in the permission in 2003 to use clinical staff to perform fee-for-service consultations without the GP being involved. This has made it easier to meet the population's growing demands for health services in primary care. Part of the increased number of contacts may also be provider-induced as the proportion of the fee-for-service's earnings for GPs rose from approximately 50% in 1993 to 75% in 2009.

The pattern in RFEs and diagnoses in 2009 much resembled those in 1993, indicating a certain consistency in patients’ needs for GP health care services. These findings are much in line with results from a survey in Australia from 2007–2008 [16]. However, contrary to our findings, psychological issues were not very common RFEs and their share of overall RFEs had not increased in Australia. Results from the Netherlands are in line with our findings showing a marked increase in patients presenting with depression and anxiety disorders [17].

The increasing number of RFEs and diagnoses categorized within the general ICPC ‘A’ chapter is probably due to use of more tests and other procedures in general practice, which was also seen in the Australian survey [16]. It may also be due to an overall heightened need for general advice on non-specific complaints.

The high and slightly increasing share of follow-up contacts may be explained by a stronger focus on proactive chronic care and by the growth in the number of patients with one or more chronic diseases The growing share of follow-up contacts may also be the result of task delegation to general practice, which shifts the follow-up burden from the secondary to the primary sector [18].

Interestingly, the overall share of referrals increased from 10.7% to 12.7% with more referrals going mainly to outpatient clinics and diagnostic imaging. This increase could be expected considering the growing focus on specialized treatment, the growing demand for precise and often high-tech diagnostic examination, and the lesser use of bed days in hospitals. Moreover, leaving a large number of the supposedly more unproblematic contacts with the staff, which are not included in the referral part of our survey, may have left the more problematic cases to the GP, implying relatively more referrals. In any case, the absolute rise in the number of consultations leads to a considerable rise in the number of referrals.

In conclusion, we found a considerable rise in the total number of contacts and referrals in general practice from 1993 to 2009 and we observed a rise in contacts classified within the ICPC ‘A’ chapter. This calls for more detailed analysis of reasons for and the effects of this change to better understand ongoing changes in medical help-seeking behaviour and the interaction between first- and second-line health care.

Acknowledgement

The authors would like to thank all the GPs and the clinical staff who took part in this study.

Ethics

The project was approved by the Danish Data Protection Agency (J.no. 2008-41-2195) and by the National Board of Health (J.no. 7-604-04-2/49/EHE). According to Danish law, approval from the ethical committee was not needed as no biomedical intervention was performed. The participating GPs received a fee that was partly dependent on the number of registered contacts.

Funding

This project has been supported by the County of Aarhus, the Central Denmark Region, The Danish National Research Foundation for Primary Care

Declaration of interest

The authors report no conflict of interest. The authors alone are responsible for the content and writing of the paper.

References

  • 1.Christiansen T. Organization and financing of the Danish health care system. Health Policy. 2002;59:107–18. doi: 10.1016/s0168-8510(01)00201-9. [DOI] [PubMed] [Google Scholar]
  • 2.Garrido MV, Zentner A, Busse R. The effects of gatekeeping: A systematic review of the literature. Scand J Prim Health Care. 2010;29:28–38. doi: 10.3109/02813432.2010.537015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Christensen B, Sørensen HT, Mabeck CE. Referral from general practice to dermatologists. Scand J Prim Health Care. 1988;6:29–32. doi: 10.3109/02813438809009286. [DOI] [PubMed] [Google Scholar]
  • 4.Vedsted P, Olsen KR, Sørensen TH, Bech M, Gyrd-Hansen D. The referral pattern in general practice: A literature review [in Danish] Aarhus: Forskningsenheden for Almen Praksis. Aarhus Universitet; 2008. [Google Scholar]
  • 5.Frederiksen HB, Kragstrup J, Dehlholm-Lambertsen B. Attachment in the doctor–patient relationship in general practice: A qualitative study. Scand J Prim Health Care. 2010;28:185–90. doi: 10.3109/02813432.2010.505447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Vedsted P, Olesen F. Use of Danish general practice in daytime [in Danish] Ugeskr Laeger. 2005;167:3280–2. [PubMed] [Google Scholar]
  • 7.De Fine Olivarius N, Hollnagel H, Krasnik A, Pedersen PA, Thorsen H. The Danish National Health Service Register. Dan Med Bull. 1997;44:449–53. [PubMed] [Google Scholar]
  • 8.Pedersen CB, Gotzsche H, Moller JO, Mortensen PB. The Danish Civil Registration System: A cohort of eight million persons. Dan Med Bull. 2006;53:441–9. [PubMed] [Google Scholar]
  • 9.Ovesen L, Juul S, Mabeck CE. Sygdomsmønstret i almen praksis. Aarhus: Public Health Insurance, Aarhus County; 1997. Århus Amt 1993 [Contacts with general practice. Aarhus County 1993] [Google Scholar]
  • 10.Byrkjeflot H, Neby S. The end of the decentralised model of healthcare governance? Comparing developments in the Scandinavian hospital sectors. J Health Organ Manag. 2008;22:331–49. doi: 10.1108/14777260810893944. [DOI] [PubMed] [Google Scholar]
  • 11.Mooney G. The Danish health care system: it ain't broke…so don't fix it. Health Policy. 2002;59:161–71. doi: 10.1016/s0168-8510(01)00205-6. [DOI] [PubMed] [Google Scholar]
  • 12.WONCA. International Classification of Primary Care. ICPC-2-R 2nd ed. New York: Oxford University Press; 2005. [Google Scholar]
  • 13.Bentsen BG. International classification of primary care. Scand J Prim Health Care. 1986;4:43–50. doi: 10.3109/02813438609013970. [DOI] [PubMed] [Google Scholar]
  • 14.Statistics Denmark – Statbank Denmark. 2011. Available from: www.statistikbanken.dk.
  • 15.P.L.O. Praksistælling 2009. København: Praktiserende Lægers Organisation; 2009. [in Danish] [Google Scholar]
  • 16.Britt H, Miller GC. General practice in Australia, health priorities and policy 1998 to 2008. Canberra: AIHW; 2009. [Google Scholar]
  • 17.Schers H, Bor H, van den HH, van WC. What went and what came? Morbidity trends in general practice from the Netherlands. Eur J Gen Pract. 2008;14((Suppl 1)):13–24. doi: 10.1080/13814780802436051. [DOI] [PubMed] [Google Scholar]
  • 18.Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: The chronic care model, Part 2. JAMA. 2002;288:1909–14. doi: 10.1001/jama.288.15.1909. [DOI] [PubMed] [Google Scholar]

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