scholarly journals Diagnostic inertia in obesity and the impact on cardiovascular risk in primary care: a cross-sectional study

2015 ◽  
Vol 65 (636) ◽  
pp. e454-e459 ◽  
Author(s):  
Damian RJ Martínez-St John ◽  
Antonio Palazón-Bru ◽  
Vicente F Gil-Guillén ◽  
Armina Sepehri ◽  
Felipe Navarro-Cremades ◽  
...  
BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e027296 ◽  
Author(s):  
Nóra Kovács ◽  
Orsolya Varga ◽  
Attila Nagy ◽  
Anita Pálinkás ◽  
Valéria Sipos ◽  
...  

ObjectivesThe objectives of our study were (1) to investigate the association between gender of the general practitioner (GP) and the quality of primary care in Hungary with respect to process indicators for GP performance and (2) to assess the size of the gender impact.Study designA nation-wide cross-sectional study was performed in 2016.Setting and participantsThe study covered all general medical practices in Hungary (n=4575) responsible for the provision of primary healthcare (PHC) for adults. All GPs in their private practices are solo practitioners.Main outcome measuresMultilevel logistic regression models were used to analyse the association between GP gender and process indicators of PHC, and attributable proportion (AP) was calculated.Results48% of the GPs (n=2213) were women in the study. The crude rates of care provided by female GPs were significantly higher for seven out of eight evaluated indicators than those provided by male GPs. Adjusted for practice, physician and patient factors, GP gender was associated with the haemoglobin A1c (HbA1c) measurement: OR=1.18, 95% CI (1.14 to 1.23); serum creatinine measurement: OR=1.14, 95% CI (1.12 to 1.17); lipid measurement: OR=1.14, 95% CI (1.11 to 1.16); eye examination: OR=1.06, 95% CI (1.03 to 1.08); mammography screening: OR=1.05, 95% CI (1.03 to 1.08); management of patients with chronic obstructive pulmonary disease: OR=1.05, 95% CI (1.01 to 1.09) and the composite indicator: OR=1.08, 95% CI (1.07 to 1.1), which summarises the number of care events and size of target populations of each indicator. The AP at the specific indicators varied from 0.97% (95% CI 0.49% to 1.44%) of influenza immunisation to 8.04% (95% CI 7.4% to 8.67%) of eye examinations.ConclusionFemale GP gender was an independent predictor of receiving higher quality of care. The actual size of the gender effect on the quality of services seemed to be notable. Factors behind the gender effect should receive more attention in quality improvement particularly in countries where the primary care is organised around solo practices.


2017 ◽  
Vol 33 (8) ◽  
Author(s):  
Maria Auxiliadora Nogueira Saad ◽  
Maria Luiza Garcia Rosa ◽  
Giovanna Balarini Lima ◽  
Rubens Antunes da Cruz Filho

Abstract: This study focused on the correlation between neck circumference and other anthropometric measurements and cardiovascular risk factors and insulin resistance in the elderly in Niterói, Rio de Janeiro State, Brazil. This was a cross-sectional study in 411 patients seen in primary care. Anthropometric measurements including neck circumference, body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) were recorded. Bioelectrical impedance analysis (BIA) estimated the percentage of total body fat (%TBF). Insulin resistance was estimated by HOMA-IR (homeostasis model assessment IR index). The data were analyzed by the Mann-Whitney test and the correlation between numerical variables by Spearman’s test. Receiver operating characteristic (ROC) was used to assess the anthropometric measurements’ predictive capacity to diagnosis insulin resistance. Neck circumference was positively correlated with WC, BMI, WHR, %TBF, and HOMA-IR in both sexes. In women, neck circumference showed higher AUC (area under the curve) for insulin resistance. In men, WC showed higher AUC, followed by BMI and neck circumference. The current study in Southeast Brazil suggests that neck circumference can predict insulin resistance, an important marker of cardiovascular risk in the elderly population treated in primary care.


2020 ◽  
Vol 9 (11) ◽  
pp. 5554
Author(s):  
Neeraja Meesala ◽  
GV D Harsha ◽  
Pradeep Kandikatla ◽  
PVenkata Karteekvarma ◽  
SandhyaR Nadakuditi ◽  
...  

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Clare Liddy ◽  
Jatinderpreet Singh ◽  
Ryan Kelly ◽  
Simone Dahrouge ◽  
Monica Taljaard ◽  
...  

2020 ◽  
Author(s):  
Miqdad Asaria ◽  
Rebecca Fisher

Objectives: To identify the risk of general practitioner mortality from COVID and the impact of measures to mitigate this risk on the level and socioeconomic distribution of primary care provision in the English NHS Design: Cross sectional study Setting: All GP practices providing primary care under the NHS in England Participants: 45,858 GPs and 6,771 GP practices in the English NHS Main outcome measures: Numbers of high-risk GPs, high-risk single-handed GP practices, patients associated with these high-risk single-handed practices and the regional and socioeconomic distribution of each. Mortality rates from COVID by age, sex and ethnicity were used to attribute risk to GPs and the Index of Multiple Deprivation was used to determine socioeconomic distributions of the outcomes. Results: Of 45,858 GPs in our sample 3,632 (7.9%) were classified as high risk or very high risk. Of 6,771 GP practices in our sample 639 (9.4%) were identified as single-handed practices and of these 209 (32.7%) were run by a GP at high or very high risk. These 209 single-handed practices care for 710,043 patients. GPs at the highest levels of risk from COVID, and single-handed practices run by high-risk GPs were concentrated in the most deprived neighbourhoods in the country. London had the highest proportion of both GPs and single-handed GP practices at very high risk of COVID mortality with 1,160 patients per 100,000 population registered to these practices. Conclusions: A significant proportion of GPs working in England, particularly those serving patients in the most deprived neighbourhoods, are at high risk of dying from COVID. Many of these GPs run single-handed practices. These GPs are particularly concentrated in London. There is an opportunity to provide additional support to mitigate COVID risk for GPs, GP practices and their patients. Failure to do so will likely exacerbate existing health inequalities.


2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Clare Liddy ◽  
Jatinderpreet Singh ◽  
Ryan Kelly ◽  
Simone Dahrouge ◽  
Monica Taljaard ◽  
...  

Author(s):  
Jerrald Lau ◽  
David Hsien-Yung Tan ◽  
Gretel Jianlin Wong ◽  
Yii-Jen Lew ◽  
Ying-Xian Chua ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Hanna-Maria E. Gerland ◽  
Tino Prell

Background: Medication non-adherence is an important healthcare issue and a common problem. Many predictors of non-adherence have been found in different settings and cohorts.Objective: Evaluate the impact of the health locus of control (HLC) on unintentional/intentional non-adherence in primary care.Methods: In this observational, cross-sectional study, 188 patients (mean age 63.3 ± 14.9 years) were recruited from three primary care practices in Jena, Germany, over 4 months. The study assessed demographic data, self-reported adherence (German Stendal adherence to medication score, SAMS), HLC, and depression.Results: According to the SAMS total score, 44 (27.5%) were fully adherent, 93 (58.1%) were moderately non-adherent, and 23 (14.4%) were clinically significantly non-adherent. The most common reasons for non-adherence were forgetting to take the medication or lacking knowledge about the prescribed medication. Multiple linear regression revealed that adherence was good in people with external HLC and poor in internal HLC. In particular, intentional non-adherence was positively associated with internal HLC and negatively with fatalistic external HLC. Depression had a negative influence on both intentional and unintentional non-adherence.Conclusion: HLC is an independent predictor of medication non-adherence and is a promising target for interventions that enhance adherence.


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