| Literature DB >> 23433175 |
Pieter van den Hombergh1, Saskia Schalk-Soekar, Anneke Kramer, Ben Bottema, Stephen Campbell, Jozé Braspenning.
Abstract
BACKGROUND: Family Physician (FP) trainees are expected to be provided with high quality training in well organized practice settings. This study examines differences between FP trainers and non-trainers and their practices to see whether there are differences in trainers and non-trainers and in how their practices are organized and their services are delivered.Entities:
Mesh:
Year: 2013 PMID: 23433175 PMCID: PMC3598999 DOI: 10.1186/1471-2296-14-23
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Differences between FP trainers and non-trainers in organization of care, (FP-level, n=512)
| | | | | ||
| | 1. Surface of waiting room & FP’s office | 2 | 1 | | |
| 1. Medical equipment in the practice | 17 | 5 | | | |
| | 2. Number of vials | 3 | | | |
| | 3. Content of FP’s bag | 19 | 3 | | |
| | 4. Use of instruments/diagnostics | 12 | 10 | Hyfrecator | .27 |
| | | | | Electrocardiograph EKG | .22 |
| | | | | Sims-Hühner test | .19 |
| | | | | Audiometer | .23 |
| | | | | Doppler device | .27 |
| | | | | Peak flow meter | .22 |
| | 5. Applying technical skills | 14 | 8 | Examining fluor slide | .19 |
| | | | | Removing lipoma/ atheroma | .23 |
| | 6. Eye diagnostics | 9 | 5 | Lenses of −0.5 & +0.5 D | .27 |
| | | | | Stenopeic aperture | .24 |
| | | | | ||
| 1. Activities directly patient-related | 3 | 2 | Consultations, visits & calls | .20 | |
| | 2. Activities indirectly patient-related | 8 | 3 | | |
| | 3. Quality Improvement (+ CME) | 3 | | | |
| | 4. Other professional activities (meetings) | 1 | | | |
| | 5. Total of 1–4 = time/ week in practice | 4 | | | |
| | 6. Workload/ week (all activities) | 5 | 2 | | |
| | 7. Breaks | 2 | | | |
| 1. Working with pleasure & commitment | 4 (1) | 1 | Work w. pleasure & commitment | .24 | |
| | 2. Being busy with irrelevant tasks | 4 (1) | | | |
| | 3. Satisfaction with available time for tasks | 5 (1) | | | |
| | 4. Satisfaction with investment on patients | 3 (1) | 1 | | |
| | 5. Burnout at the end of the day | 16 (1) | | | |
| | | | | ||
| 1. Quality of electronic medical records | 4 | | | | |
| | 2. Using FP Information System | 11 | 2 | | |
| | 1. Frequency of handing out patient info | 1 | | | |
| | 2. Organizing patient information | 10 | 1 | | |
| | | | | ||
| 1. Assessing/testing medical skills | 9 | 3 | Video record of consultation | 1.57 | |
ΔNumber of items that differed significantly between the two groups
* Covariates: gender, age, years of experience, weekly hours worked, and number of patients.
# Significant after covariate correction.
Differences between FP training & non-training practices in organization of care (practice level, n=203)
| | | | | ||
| 1. m [ | 4 | 0 | | | |
| 2. Office equipment | 10 | 3 | | | |
| | 1. Hygiene | 11 | 2 | | |
| | 2. Emergency care | 13 | 3 | EKG | .33 |
| | 3. Special instruments/equipment | 13 | 6 | Audiometer | .47 |
| | | | | Hyfrecator | .32 |
| | 4. Availability of lab tests | 8 | 5 | Peak flow meter | .46 |
| | | | | Digital Hb meter | 35 |
| | | | | ESR | 35 |
| | | | | Occult blood in faeces | 35 |
| 1. Waiting time for answering telephone | 1 | 0 | | | |
| | 1. Organization of the practice | 17 | 3 | | |
| | 2. Preventive service of the practice | 1 | 1 | | |
| | 3. Preventive tasks provided by practice | 11 | 2 | | |
| | | | | ||
| 1. Medical-technical and diagnostic tasks | 14 | 10 | Nitrogen treatment | .33 | |
| | | | | Compression therapy | .53 |
| | | | | Removing splinters | .41 |
| | | | | Vena puncture | .42 |
| | | | | Taping ankle sprain | .31 |
| | | | | Audiometry | .40 |
| | | | | Making EKGs | .40 |
| 2. Chronic diseases & prevention tasks | 15 | 1 | Spirometry | .43 | |
| | 3. Organization and administration | 9 | 1 | | |
| | 1. Time meeting with staff | 2 | 0 | | |
| | 2. Time meeting with colleagues | 2 | 0 | | |
| | 3. Collaboration in the group practice | 11 | 4 | | |
| | 4. Time meeting other prim. care providers | 6 | 2 | | |
| | 5. Collaborating with prim. care providers | 7 | 0 | | |
| | 6. Collaborating with the hospital | 4 | 1 | | |
| | 7. Consultations of specialist/ consultants | 10 | 2 | | |
| | 8. Collaborating with other care providers | 11 | 0 | | |
| | | | | ||
| 1. Computerized Medical Records | 9 | 0 | Risk factors for CVD | .33 | |
| | 2. Electronic communication | 6 | 1 | | |
| | 3. Use of separate prevention module | 3 | 2 | | |
| 1. Supplying patient info by practice | 6 | 1 | | | |
| | | | | ||
| 1. Organization of quality in group practice | 8 | 3 | | | |
| | 2. Quality policy within the practice | 15 | 9 | Calibration/maintenance | .26 |
| | | | | Patient survey | 32 |
| | | | | No commercial leaflets | 34 |
| | | | | Annual report | 44 |
| | | | | Tel. advice by staff using | |
| | | | | Dutch College guidelines | 42 |
| | | | | Policy for CME of staff | 32 |
| | | | | Appraisal for staff | .23 |
Δ Number of items that differed significantly between the two groups
*Covariates: type of practice, practice location, urbanization level, number of patients, fte nurse per 1,000 patients, fte management support per 1,000 patients, FP years working in current practice.
# significant after covariate correction.
Characteristics of family physicians and their practices
| Gender | 176 | 129 | −0.42 | |
| | 157 | 47 | | |
| | | | ||
| Age | M | 44.05 | 49.95 | 0.77 |
| | SD | 8.31 | 6.27 | |
| Years in practice | M | 12.94 | 19.42 | 0.75 |
| | | 9.13 | 7.70 | |
| | SD | | ||
| Proportion of full-time FPs | M | 0.69 | 0.79 | 0.53 |
| | | 0.21 | 0.16 | |
| | SD | | | |
| Total number of patients | M | 1,795.6 | 2,069.76 | 0.40 |
| | | 731.06 | 603.56 | |
| | SD | | ||
| | ||||
| | | | ||
| Type of practice | M | 2.62 | 3.08 | 0.29 |
| 1: single-handled | SD | 1.7 | | |
| 2: duo | | | | |
| 3: group | | | | |
| Practice location | M | 1.71 | 1.85 | 0.35 |
| 1: next to FP’s house | SD | 0.45 | 0.36 | |
| 2: not next to FP’s house | | | | |
| Urbanization level | M | 2.33 | 2.67 | 0.34 |
| 1: rural < 5000, 2: village 5 - | SD | 1.02 | 0.97 | |
| 30.000, 3; small town 30–100.00, | | | | |
| 4: large town > 100.000. | | | | |
| Number of patients | M | 3,970.75 | 5,553.82 | 0.57 |
| | SD | 2,530.87 | 2,969.41 | |
| Fte practice nurse per 1,000 patients | M | 0.41 | 0.44 | 0.68 |
| | SD | 0.10 | 0.10 | |
| Fte management support /1,000 patients | M | 0.02 | 0.04 | 0.30 |
| | SD | 0.03 | 0.11 | |
| Years worked in current practice | M | 12.09 | 14.14 | 0.33 |
| SD | 6.82 | 5.29 |
* A positive d means that the mean scores for FP trainers were higher than for non-trainers.