Factors related to consultation time: Experience in Slovenia

Šter, Marija Petek; Švab, Igor; Kalan, Gordana Živčec

doi:10.1080/02813430701760789

Cited by 48 publications

(44 citation statements)

References 15 publications

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“…higher educational attainment, was identified as being associated with better PCS (Table 2), which is in line with other studies [21]. It is worth mentioning that in Slovenia the consultation time for higher-educated patients has been shown to be longer than for less well-educated patients [40]; getting more attention and medical information or guidance could affect HRQL. Aside from the amount of given advice, level of education was identified as a relevant predictor of recall in Slovenian family medicine patients, although level of education alone does not reflect memory potential [41].…”

Section: Discussionsupporting

confidence: 86%

Did past economic prosperity affect the health related quality of life predictors? A longitudinal study on a representative sample of Slovenian family medicine patients

et al. 2013

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BackgroundHealth related quality of life (HRQOL) as an important measure of medical outcomes has been shown to be associated with demographic factors and the most common mental and chronic somatic diseases. This study’s aim was to identify factors predicting changes in HRQOL over a follow-up period in a representative sample of Slovenian family medicine patients.MethodsIn a longitudinal multi-centred study between 2003 and 2005, data were collected from 1118 consecutive attendees from 60 family medicine practices in Slovenia on quality of life, socio-demographic factors and the presence of mental disorders, with follow-up after 6 and 24 months. Retrospective information on chronic diseases was obtained from patients` health records. In three time-sequential multiple linear regression models, data on 601 patients (53.8%) was analysed to determine factors associated with each component score of quality of life.ResultsAt baseline the patients were 48.58 (SE = 0.58) years of age, over half were women (386 (64.2%)) and most were Slovenian (548 (91.2%)). Quality of life was seen to improve over the two-year period. Factors significantly and consistently associated with a better mental component score of quality of life were social support, satisfactory circumstances in patients` household and absence of anxiety. Major life events in the past year and depression were shown to be risk factors for mental and physical components, while level of education, absence of long-term disability and chronic pain were identified as predictors of the physical component.ConclusionsDetection and successful treatment of depression and anxiety has a potential to lead to improved quality of life in family medicine attendees; family physicians should be alert for the early onset of these conditions, knowing that symptoms of chronic pain, depression and anxiety often overlap in patients. Poorly educated patients and those lacking social support and/or satisfactory household circumstances should be recognised and empowered, and appropriate coping mechanisms should be introduced.

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Section: Discussionsupporting

confidence: 86%

Did past economic prosperity affect the health related quality of life predictors? A longitudinal study on a representative sample of Slovenian family medicine patients

et al. 2013

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“…However, this may require up to 30 minutes of family doctors’ time [36] which is often unacceptable or not feasible [37]. Therefore, several questionnaires and computer programmes or tools have been developed to assist family doctors in this task [4,7,36,38].…”

Section: Discussionmentioning

confidence: 99%

Family History as a Predictor for Disease Risk in Healthy Individuals: A Cross-Sectional Study in Slovenia

Klemenc–Ketiš

Peterlin

2013

PLoS ONE

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BackgroundFamily history can be used as a genetic risk predictor for common non-communicable diseases. The aim of this study was to determine the prevalence of healthy individuals at risk of developing these diseases, based on their self-reported family history.Methods and FindingsThis was a cross-sectional observational study. Data were collected in the three largest occupational practices in primary health care centres in Slovenia, a Central European country. The study population consisted of consecutive individuals who came to occupational practices for their regular preventive check-up from November 2010 to June 2012. We included 1,696 individuals. Data were collected by a self-developed questionnaire. The main outcome was the number of participants at a moderate or high risk for the development of cardiovascular diseases, diabetes, and cancer.The final sample consisted of 1,340 respondents. Moderate or high risk for the development of cardiovascular diseases was present in 280 (20.9%) participants, for the development of diabetes in 154 (11.5%) participants and for cancer in 163 (12.1%) participants. ConclusionsIn this study, we found a significant proportion of healthy individuals with an increased genetic risk for common non-communicable diseases; consequently further genetic and clinical evaluation and preventive measures should be offered.

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“…There are no published studies that have investigated factors which affect POA times. Some studies have examined factors that influence physician consultation time; these found that consultation time could be affected by patients' health status, age, clinical reason for the appointment and may also be affected by the clinician conducting the assessment . We decided to evaluate factors that influence the time taken to assess patients in a nurse‐led POA clinic.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of factors influencing the assessment time in a nurse practitioner-led anaesthetic pre-operative assessment clinic

et al. 2015

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Elective patients undergoing anaesthetic pre-operative assessment are usually allocated the same period of time with a nurse practitioner, leading to potential inefficiencies in patient flow through the clinic. We prospectively collected data on 8519 patients attending a pre-operative assessment clinic. The data set were split into derivation and validation cohorts. Standard multiple regressions were used to construct a model in the derivation cohort, which was then tested in the validation cohort. Due to missing data, 2457 patients were not studied, leaving 5892 for analysis (3870 in the derivation cohort and 2022 in the validation cohort). The mean (SD) pre-operative assessment time was 46 (12) min. Age, ASA physical status, nurse practitioner and surgical specialty all influenced the time spent in preoperative assessment. The predictive equations calculated using the derivation cohort, based on age and ASA physical status, correctly estimated duration of consultation to within 20% of the maximum predicted time in 74.2% of the validation cohort. We conclude that if age and ASA physical status are known before the pre-operative assessment consultation, it could allow appointment times to be allocated more accurately.

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Factors related to consultation time: Experience in Slovenia

Cited by 48 publications

References 15 publications

Did past economic prosperity affect the health related quality of life predictors? A longitudinal study on a representative sample of Slovenian family medicine patients

Did past economic prosperity affect the health related quality of life predictors? A longitudinal study on a representative sample of Slovenian family medicine patients

Family History as a Predictor for Disease Risk in Healthy Individuals: A Cross-Sectional Study in Slovenia

An evaluation of factors influencing the assessment time in a nurse practitioner-led anaesthetic pre-operative assessment clinic

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