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Table 4 Agreement with measures towards securing primary care

From: Approaches towards averting a potential structural shortage of general practitioners: results of a quantitative survey on attitudes, experiences, and ideas from general practitioners in the Federal Republic of Germany

  

Rotated component matrix

 

Question: Selected measures are listed below. How effective you think each measure would be in securing primary care in the long term? (N = 5,164; response categories very effective and somewhat effective taken together)

Overall agreement

Comp. 1 (variance clarif.: 39.7%)

Comp. 2 (variance clarif.: 15.6%)

Comp. 3 (variance clarif.: 11.6%)

Urban vs. rural physicians

A primary care system with general practitioners as the first point of contact for patients while avoiding simultaneous appointments with specialists without prior referral

88%

.521

.069

.775

84%/92%

Routine establishment of complementary longitudinal programmes alongside Medicine courses communicating interest, insights, and skills needed in general practice

78%

-.006

.488

.54

79%/77%

Substantial reduction in general cost pressure for general practitioners

69%

.65

.45

.134

66%/72%

Shift away from classical medical practices towards outpatient (primary) care centres with the aim of expanding primary care; examples include polyclinics or health centres near hospitals or in urban areas towards fostering multi-professional cooperation and other more flexible working models

62%

.866

.144

.026

64%/60%

Substantial increase in the proportion of primary care in continuing medical education (such as an increase to a third)

59%

.411

-.009

.402

57%/61%

An authoritative primary care service catalogue as a clear guide to what can be expected from a GP towards preventing primary care overload, such as by ensuring sufficient qualifications and a set number of working hours

58%

.715

.485

.040

55%/61%

Fundamental general medical training reforms (including shortening and flexibilisation, more focus on key competencies in primary care)

55%

.793

-.035

.239

55%/55%

Medical study course and curriculum restructuring (improvement with more specific and relevant preparation for a future career in outpatient clinics and medical practices)

54%

.31

.401

.753

58%/51%

Major changes to the enrolment criteria for medical study courses (broader and more intensive inclusion of factors such as personality and curriculum details)

51%

.159

.797

.359

51%/51%

Fundamental improvement in general practitioner pay (such as pegging it to at least specialist level)

49%

.101

.618

.223

45%/52%

Delegation and increased use of non-medical health professions and extension to their sphere of responsibility

45%

.869

.029

.163

31%/58%*

A substantial increase in study places for Human Medicine

42%

.827

.007

.281

33%/50%*

Effective recruitment of medical personnel (more effort on incentives and rewards such as in municipalities with subsidies and bonuses for establishment in a rural area, for example)

39%

.852

.155

.074

32%/46%*

Consistent establishment of a rural primary care quota across Germany (clearly regulated in each federal state, with on-top quotas as required)

36%

.282

.674

-.339

24%/48%*

(More effective) demand planning with distribution aimed towards regional effectiveness

34%

.84

.199

.081

34%/34%

Increased and more standardised use of digitalisation and telemedicine (including video consultations as well as health app prescriptions for patient self-management)

29%

.368

.079

.403

41%/17%*

Quotas for access to specialist training

25%

.326

.762

-.352

25%/25%

Provide career changers from other disciplinary backgrounds with more access and authorisation to work as a general practitioners

22%

.777

.252

-.388

23%/21%

  1. Extraction method: Principal component analysis
  2. Rotation method: Varimax, Kaiser normalisation
  3. Rotation convergence in six iterations
  4. Total variance clarified: 66.9%; sampling suitability according to Kaiser–Meyer–Olkin:.653
  5. Significance according to Bartlett: p < 0.001
  6. Commonalities in all included variables above limit.5
  7. Difference significant at *p < 0.001