scholarly journals The impact of occupational risk from COVID on GP supply in England: A cross-sectional study

2020 ◽  
Author(s):  
Miqdad Asaria ◽  
Rebecca Fisher
Keyword(s):  
Primary Care ◽  
High Risk ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Deprived Neighbourhoods ◽  
Additional Support ◽  
The Impact ◽  
Very High

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.

scholarly journals The impact of general practitioners’ gender on process indicators in Hungarian primary healthcare: a nation-wide cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e027296 ◽  
Author(s):  
Nóra Kovács ◽  
Orsolya Varga ◽  
Attila Nagy ◽  
Anita Pálinkás ◽  
Valéria Sipos ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Healthcare ◽  
Cross Sectional Study ◽  
Gender Effect ◽  
Sectional Study ◽  
Cross Sectional ◽  
Process Indicators ◽  
Wide Cross ◽  
The Impact

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.

scholarly journals Khat chewing practice and associated factors among medical students in university of Gondar, Ethiopia, 2019: a cross-sectional study

2020 ◽  
Author(s):  
Tsegaye Adane Birhan ◽  
Walelegn Worku ◽  
Jember Azanaw ◽  
Lamrot Yohannes
Keyword(s):  
Medical Students ◽  
Associated Factors ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
Northwest Ethiopia ◽  
Sectional Study ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Khat Chewing ◽  
The Impact

Abstract Background: Globally, khat chewing practice becoming an alarming and common among the youth generation especially in higher educational institutions. It may also leads to frequent misbehavior, poor academic performance and memory impairment among students. This study aimed to determine the prevalence of khat chewing and associated factors among medical students in University of Gondar, Northwest Ethiopia, 2019.Method: An institution-based cross-sectional study was employed on 422 medical students. Data were collected using a self-administered questionnaire and analyzed using SPSS 20 software. Stratified followed by random sampling was employed to select the samples. Multivariable logistic regression model was fitted to identify the predictors. P ≤ 0.05 was used to select statistically significant factors.Result: The current prevalence of khat chewing among medical students was 21.5%. The odds of khat chewing was higher among males [AOR=3.353; 95%CI (1.460-7.701)], Muslims [AOR=6.390; 95%CI (1.903-21.460)], fifth and six year students [AOR= 3.391; 95%CI (1.354-8.488)], smokers [AOR=5.081; 95%CI (1.898-13.601)], alcohol users [AOR=4.872; 95%CI (2.094-11.332)], students who had khat chewer close friends [AOR=30.645; 95%CI (12.261-76.589)].Conclusion: Since a significant proportion of students chew khat, continuous awareness creation on the impact of khat chewing and counseling services are recommended.

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 ◽  
...  
Keyword(s):  
Primary Care ◽  
Cardiovascular Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact

scholarly journals Measuring the impact of COVID-19 on mental health as a preliminary procedure in primary care provision: A cross-sectional study using COVID-19 anxiety scale

2020 ◽  
Vol 9 (11) ◽  
pp. 5554
Author(s):  
Neeraja Meesala ◽  
GV D Harsha ◽  
Pradeep Kandikatla ◽  
PVenkata Karteekvarma ◽  
SandhyaR Nadakuditi ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Cross Sectional Study ◽  
Anxiety Scale ◽  
Care Provision ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact

scholarly journals What is the impact of primary care model type on specialist referral rates? A cross-sectional study

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Clare Liddy ◽  
Jatinderpreet Singh ◽  
Ryan Kelly ◽  
Simone Dahrouge ◽  
Monica Taljaard ◽  
...  
Keyword(s):  
Primary Care ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Care Model ◽  
Cross Sectional ◽  
Model Type ◽  
Referral Rates ◽  
Primary Care Model ◽  
Specialist Referral ◽  
The Impact

scholarly journals Erratum: What is the impact of primary care model type on specialist referral rates? A cross-sectional study

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Clare Liddy ◽  
Jatinderpreet Singh ◽  
Ryan Kelly ◽  
Simone Dahrouge ◽  
Monica Taljaard ◽  
...  
Keyword(s):  
Primary Care ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Care Model ◽  
Cross Sectional ◽  
Model Type ◽  
Referral Rates ◽  
Primary Care Model ◽  
Specialist Referral ◽  
The Impact

scholarly journals The impact of COVID-19 on private and public primary care physicians: A cross-sectional study

2021 ◽  
Author(s):  
Jerrald Lau ◽  
David Hsien-Yung Tan ◽  
Gretel Jianlin Wong ◽  
Yii-Jen Lew ◽  
Ying-Xian Chua ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Private And Public ◽  
The Impact

scholarly journals Association Between the Health Locus of Control and Medication Adherence: An Observational, Cross-Sectional Study in Primary Care

2021 ◽  
Vol 8 ◽  
Author(s):  
Hanna-Maria E. Gerland ◽  
Tino Prell
Keyword(s):  
Primary Care ◽  
Locus Of Control ◽  
Health Locus Of Control ◽  
Demographic Data ◽  
Cross Sectional Study ◽  
Negative Influence ◽  
Sectional Study ◽  
Cross Sectional ◽  
Adherence To Medication ◽  
The Impact

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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