scholarly journals Factors associated with consultation rates in general practice in England, 2013–2014: a cross-sectional study

2018 ◽  
Vol 68 (670) ◽  
pp. e370-e377 ◽  
Author(s):  
Toqir K Mukhtar ◽  
Clare Bankhead ◽  
Sarah Stevens ◽  
Rafael Perera ◽  
Tim A Holt ◽  
...  

BackgroundWorkload in general practice has risen during the last decade, but the factors associated with this increase are unclear.AimTo examine factors associated with consultation rates in general practice.Design and settingA cross-sectional study examining a sample of 304 937 patients registered at 316 English practices between 2013 and 2014, drawn from the Clinical Practice Research Datalink.MethodAge, sex, ethnicity, smoking status, and deprivation measures were linked with practice-level data on staffing, rurality, training practice status, and Quality and Outcomes Framework performance. Multilevel analyses of patient consultation rates were conducted.ResultsConsultations were grouped into three types: all (GP or nurse), GP, and nurse. Non-smokers consulted less than current smokers (all: rate ratio [RR] = 0.88, 95% CI = 0.87 to 0.89; GP: RR = 0.88, 95% CI = 0.87 to 0.89; nurse: RR = 0.91, 95% CI = 0.90 to 0.92). Consultation rates were higher for those in the most deprived quintile compared with the least deprived quintile (all: RR = 1.18, 95% CI = 1.16 to 1.19; GP: RR = 1.17, 95% CI = 1.15 to 1.19; nurse: RR = 1.13, 95% CI = 1.11 to 1.15). For all three consultation types, consultation rates increased with age and female sex, and varied by ethnicity. Rates in practices with >8 and ≤19 full-time equivalent (FTE) GPs were higher compared with those with ≤2 FTE GPs (all: RR = 1.26, 95% CI = 1.06 to 1.49; GP: RR = 1.36, 95% CI = 1.19 to 1.56).ConclusionThe analyses show consistent trends in factors related to consultation rates in general practice across three types of consultation. These data can be used to inform the development of more sophisticated staffing models, and resource allocation formulae.

BMJ ◽  
2015 ◽  
pp. h5501 ◽  
Author(s):  
S Jill Stocks ◽  
Evangelos Kontopantelis ◽  
Artur Akbarov ◽  
Sarah Rodgers ◽  
Anthony J Avery ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252458
Author(s):  
Doreen Busingye ◽  
Allan Pollack ◽  
Kendal Chidwick

The burden of inflammatory bowel disease (IBD) in Australia is increasing but national data about the current prevalence are limited. We aimed to estimate the prevalence of IBD (including Crohn’s disease, ulcerative colitis and unspecified IBD) as well as Crohn’s disease and ulcerative colitis separately in a general practice population in Australia. We also assessed risk factors associated with Crohn’s disease and ulcerative colitis. We conducted a cross-sectional study using data from MedicineInsight, a national database of general practice electronic health records, from 1 July 2017 to 30 June 2019. The prevalence of IBD was calculated and stratified by sociodemographic characteristics. Logistic regression analysis was conducted to assess risk factors associated with Crohn’s disease and ulcerative colitis. The study comprised 2,428,461 regular patients from 481 practices. The estimated crude prevalence of IBD was 653 per 100,000 patients; Crohn’s disease was 306 per 100,000 and ulcerative colitis was 334 per 100,000. Males were independently associated with a lower risk of Crohn’s disease (OR: 0.86; 95% CI: 0.81, 0.90) but a greater risk of ulcerative colitis (OR: 1.12; 95% CI: 1.06, 1.17) than females. Compared to non-smokers, patients who were current smokers were associated with a greater risk of Crohn’s disease (OR: 1.13; 95% CI: 1.04, 1.23) but a lower risk of ulcerative colitis (OR: 0.52; 95% CI: 0.47, 0.57). Other factors positively associated with both Crohn’s disease and ulcerative colitis were age (≥ 25 years), non-Indigenous status and socioeconomic advantage. Our findings provide a current estimate of the prevalence of IBD, Crohn’s disease and ulcerative colitis in a large national general practice population in Australia and an assessment of the factors associated with Crohn’s disease and ulcerative colitis. These data can assist in estimating the health burden and costs, and planning for health services.


2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Chris F Johnson ◽  
Nadine J Dougall ◽  
Brian Williams ◽  
Stephen A MacGillivray ◽  
Alasdair I Buchanan ◽  
...  

2020 ◽  
Vol 5 (3) ◽  
pp. 153-164
Author(s):  
Rina Matsubara ◽  
Naoko Hikita ◽  
Megumi Haruna ◽  
Emi Sasagawa ◽  
Kaori Yonezawa ◽  
...  

Objective: The objective of this study is to determine the factors associated with time spent performing housework/childcare by fathers of children under 12 years of age (preschool and elementary school children) in Japan. Methods: An online survey of employees and employers was conducted in 2017. Of the 7,796 total responses to the survey, those of 621 fathers of children aged 0–12 years were analyzed. Participants were divided into two groups: fathers of children aged 0–6 years, and fathers of children aged 7–12 years. Multiple logistic regression analysis was performed on the items for which there was a significant intergroup difference, setting time spent performing housework as the dependent variable and the survey items as the independent variables. Results: For fathers of children aged 0–6 years, working 40 hours or less per week and commuting for one hour or less were associated with more time spent performing housework/childcare. For fathers of children aged 7–12 years, working less than 40 hours a week, working from home more than once a week, and having spouses with full-time jobs were associated with more time spent performing housework/childcare. Conclusion: This study revealed the factors associated with the time spent by fathers of children under 12 in performing housework/childcare. As several of these factors cannot be altered by the fathers’ efforts alone, companies and society in general must endeavor to improve work styles to better suit the habits and preferences of fathers. This will promote work–life balance and create better family relationships.


2021 ◽  
Author(s):  
Tomohiro Ishimaru ◽  
Koki Ibayashi ◽  
Masako Nagata ◽  
Seiichiro Tateishi ◽  
Ayako Hino ◽  
...  

Objective: This study aimed to determine factors associated with acceptance of a Digital Contact Tracing (DCT) app for Coronavirus Disease 2019 (COVID-19) in the Japanese working-age population. Methods: A cross-sectional study was performed for 27,036 full-time workers registered with an internet survey company during December 2020 in Japan. Results: The rate of downloading the DCT app was 25.1%. The DCT app was more likely to be accepted by people with married status, university graduation or above, higher income, and occupations involving desk work. Fear of COVID-19 transmission, wearing a mask, using hand disinfection, willingness to be vaccinated against COVID-19, and presence of an acquaintance infected with COVID-19 were also associated with a greater likelihood of adopting the app. Conclusions: The present findings have important implications for widespread adoption of DCT apps in working-age populations in Japan and elsewhere.


2018 ◽  
Vol 69 (678) ◽  
pp. e42-e51 ◽  
Author(s):  
Yan Li ◽  
Anna Mölter ◽  
Andrew White ◽  
William Welfare ◽  
Victoria Palin ◽  
...  

BackgroundHigh levels of antibiotic prescribing are a major concern as they drive antimicrobial resistance. It is currently unknown whether practices that prescribe higher levels of antibiotics also prescribe more medicines in general.AimTo evaluate the relationship between antibiotic and general prescribing levels in primary care.Design and settingCross-sectional study in 2014–2015 of 6517 general practices in England using NHS digital practice prescribing data (NHS-DPPD) for the main study, and of 587 general practices in the UK using the Clinical Practice Research Datalink for a replication study.MethodLinear regression to assess determinants of antibiotic prescribing.ResultsNHS-DPPD practices prescribed an average of 576.1 antibiotics per 1000 patients per year (329.9 at the 5th percentile and 808.7 at the 95th percentile). The levels of prescribing of antibiotics and other medicines were strongly correlated. Practices with high levels of prescribing of other medicines (a rate of 27 159.8 at the 95th percentile) prescribed 80% more antibiotics than low-prescribing practices (rate of 8815.9 at the 5th percentile). After adjustment, NHS-DPPD practices with high prescribing of other medicines gave 60% more antibiotic prescriptions than low-prescribing practices (corresponding to higher prescribing of 276.3 antibiotics per 1000 patients per year). Prescribing of non-opioid painkillers and benzodiazepines were also strong indicators of the level of antibiotic prescribing. General prescribing levels were a much stronger driver for antibiotic prescribing than other risk factors, such as deprivation.ConclusionThe propensity of GPs to prescribe medications generally is an important driver for antibiotic prescribing. Interventions that aim to optimise antibiotic prescribing will need to target general prescribing behaviours, in addition to specifically targeting antibiotics.


2020 ◽  
pp. BJGP.2020.0486
Author(s):  
Chris Salisbury ◽  
Sarah Lay-Flurrie ◽  
Clare Bankhead ◽  
Alice Fuller ◽  
Mairead Murphy ◽  
...  

Background: The complexity of general practice consultations may be increasing and vary in different settings. Testing these hypotheses requires a measure of complexity. Aim: To develop a valid measure of general practice consultation complexity applicable to routine medical records. Design: Delphi study to select potential indicators of complexity followed by cross-sectional study to develop and validate a complexity measure. Setting: English general practices. Method: An online Delphi study over two rounds involved 32 general practitioners to identify potential indicators of consultation complexity. The cross-sectional study used an age-sex stratified random sample of 173,130 patients and 725,616 general practice face-to-face consultations from 2013/14 in the Clinical Practice Research Datalink. We explored independent relationships between each indicator and consultation duration using mixed effects regression models, and revalidated findings using data from 2017/18. We assessed the proportion of complex consultations in different age-sex groups. Results: After two rounds, the Delphi panel endorsed 34 of 45 possible complexity indicators. In the cross-sectional study, after excluding factors because of low prevalence or confounding, 17 indicators were retained. Defining complexity as the presence of any of these factors, 308,370 consultations (42.5%) were complex. Mean duration of complex consultations was 10.49 minutes, compared to 9.64 minutes for non-complex consultations. The proportion of complex consultations was similar in men and women but increased with age. Conclusion: Our consultation complexity measure has face and construct validity. It may be useful for research, management and policy, informing decisions about the range of resources needed in different practices.


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