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Karia A, Zamani R, Martins T, Zafar A, Zamani A. Evaluating the Effectiveness of Primary Care Health Checks at Assessing Cardiovascular Risks among Ethnic Minorities in the UK: A Systematic Review. Rev Cardiovasc Med 2025; 26:25614. [PMID: 39867185 PMCID: PMC11759957 DOI: 10.31083/rcm25614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 10/02/2024] [Accepted: 10/18/2024] [Indexed: 01/28/2025] Open
Abstract
Background Cardiovascular diseases (CVD) affect around 7.6 million people in the UK, disproportionately affecting the minority ethnic community. In 2009, the UK's National Health Service (NHS) launched a Health Check (NHSHC) scheme to improve early diagnosis of various clinical conditions, including CVD, by screening patients for associated risk factors. This systematic review investigated the engagement of minority ethnic groups with these services. Methods Seven studies identified patient demographics of NHSHC attendees using the Preferred Reporting Items for Systematic And Meta Analysis-Diagnostic Test Accuracy (PRISMA-DTA) guidelines and accessing Ovid (MEDLINE), PubMed and Web of Science databases. Results The screening was either by invitation or opportunistic at other appointments with their doctor. Engagement with the service was highest among the South Asian patients (21%-68%), but lowest amongst Chinese patients (12%-61%). Further, engagement was lower among those screened following a formal invitation than those seen opportunistically. However, a greater proportion of patients were screened opportunistically than by invitation. Conclusions Overall, we found that the NHSHC is not being utilised adequately for all patients at high risk of CVD, particularly White and Chinese patients. It highlights the critical role of primary care could play to improve patient engagement with the service.
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Affiliation(s)
- Aleesha Karia
- Medical School, Faculty of Health and Life Sciences, University of Exeter, EX1 2LU Exeter, UK
| | - Reza Zamani
- Medical School, Faculty of Health and Life Sciences, University of Exeter, EX1 2LU Exeter, UK
| | - Tanimola Martins
- Medical School, Faculty of Health and Life Sciences, University of Exeter, EX1 2LU Exeter, UK
| | - Abdal Zafar
- Department of Trauma and Orthopaedics, The Royal London Hospital, E1 1FR London, UK
| | - Ava Zamani
- Department of Medical Oncology, St Bartholomew’s Hospital, EC1A 7BE London, UK
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Cooper J, Nirantharakumar K, Crowe F, Azcoaga-Lorenzo A, McCowan C, Jackson T, Acharya A, Gokhale K, Gunathilaka N, Marshall T, Haroon S. Prevalence and demographic variation of cardiovascular, renal, metabolic, and mental health conditions in 12 million english primary care records. BMC Med Inform Decis Mak 2023; 23:220. [PMID: 37845709 PMCID: PMC10580600 DOI: 10.1186/s12911-023-02296-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 09/14/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Primary care electronic health records (EHR) are widely used to study long-term conditions in epidemiological and health services research. Therefore, it is important to understand how well the recorded prevalence of these conditions in EHRs, compares to other reliable sources overall, and varies by socio-demographic characteristics. We aimed to describe the prevalence and socio-demographic variation of cardiovascular, renal, and metabolic (CRM) and mental health (MH) conditions in a large, nationally representative, English primary care database and compare with prevalence estimates from other population-based studies. METHODS This was a cross-sectional study using the Clinical Practice Research Datalink (CPRD) Aurum primary care database. We calculated prevalence of 18 conditions and used logistic regression to assess how this varied by age, sex, ethnicity, and socio-economic status. We searched the literature for population prevalence estimates from other sources for comparison with the prevalences in CPRD Aurum. RESULTS Depression (16.0%, 95%CI 16.0-16.0%) and hypertension (15.3%, 95%CI 15.2-15.3%) were the most prevalent conditions among 12.4 million patients. Prevalence of most conditions increased with socio-economic deprivation and age. CRM conditions, schizophrenia and substance misuse were higher in men, whilst anxiety, depression, bipolar and eating disorders were more common in women. Cardiovascular risk factors (hypertension and diabetes) were more prevalent in black and Asian patients compared with white, but the trends in prevalence of cardiovascular diseases by ethnicity were more variable. The recorded prevalences of mental health conditions were typically twice as high in white patients compared with other ethnic groups. However, PTSD and schizophrenia were more prevalent in black patients. The prevalence of most conditions was similar or higher in the primary care database than diagnosed disease prevalence reported in national health surveys. However, screening studies typically reported higher prevalence estimates than primary care data, especially for PTSD, bipolar disorder and eating disorders. CONCLUSIONS The prevalence of many clinically diagnosed conditions in primary care records closely matched that of other sources. However, we found important variations by sex and ethnicity, which may reflect true variation in prevalence or systematic differences in clinical presentation and practice. Primary care data may underrepresent the prevalence of undiagnosed conditions, particularly in mental health.
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Affiliation(s)
- Jennifer Cooper
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK.
| | - Francesca Crowe
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | | | - Colin McCowan
- School of Medicine, University of St Andrews, Fife, UK
| | - Thomas Jackson
- Clinician Scientist in Geriatric Medicine, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Aditya Acharya
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | - Krishna Gokhale
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | - Niluka Gunathilaka
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | - Tom Marshall
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
| | - Shamil Haroon
- Institute of Applied Health Research, Health Data Science and Public Health, University of Birmingham, Birmingham, UK
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Zhou T, Wang Y, Zhang H, Wu C, Tian N, Cui J, Bai X, Yang Y, Zhang X, Lu Y, Spatz ES, Ross JS, Krumholz HM, Lu J, Li X, Hu S. Primary care institutional characteristics associated with hypertension awareness, treatment, and control in the China PEACE-Million Persons Project and primary health-care survey: a cross-sectional study. Lancet Glob Health 2023; 11:e83-e94. [PMID: 36521957 DOI: 10.1016/s2214-109x(22)00428-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Since 2010, China has made vast financial investments and policy changes to the primary care system. We aimed to assess how hypertension awareness, treatment, and control might be used to assess quality of primary care systems, which reflect the outcomes of public health services and medical care. METHODS We used The China Patient-centred Evaluative Assessment of Cardiac Events Million Persons Project, a government-funded public health project that focuses on cardiovascular disease risk in China. We linked primary care institution characteristics that were captured in the survey between 2016 and 2017 to the participant-level data gathered in baseline visits between 2014 and 2021. Participants were included if they had hypertension and lived in the towns or streets that took part in the primary care survey. Participants were excluded if they had missing data for blood pressure measurement, history of hypertension, sex, or age. Primary care institutions were excluded if the catchment area had fewer than 100 participants with hypertension. Hypertension awareness was defined as the proportion of participants with hypertension who self-reported a hypertension diagnosis. Hypertension treatment was defined as the proportion of participants who currently use antihypertensive medications among those who were aware. Hypertension control was defined as the proportion of participants with an average systolic blood pressure less than 140 mm Hg and an average diastolic blood pressure less than 90 mm Hg over two readings among those who were treated during the study. All patients were included in the analysis. This trial was registered at ClinicalTrials.gov, NCT02536456. FINDINGS Between Sept 15, 2014, and March 16, 2021, we assessed 503 township-level primary care institutions for eligibility. 70 institutions were excluded as they could not be linked with individual data or because their catchment area had fewer than 100 participants with hypertension. We analysed 433 township-level primary care institutions across all 31 provinces of mainland China, including 660 565 individuals with hypertension in their catchment areas. Across townships, age-sex standardised hypertension awareness varied from 8·2% to 81·0%, treatment varied from 2·6% to 96·5%, and control proportions varied from 0% to 62·4%. Hypertension awareness, treatment, and control were significantly associated with the following institutional characteristics: government funding through balance allocation (ie, institutions have their human resources funded by local government, but need to be self-supporting in other aspects; awareness odds ratio 0·88, 95% CI 0·78-0·99; p=0·027), having financial problems that interrupted routine service delivery (awareness 0·81, 0·72-0·92; p=0·0007, control 0·84; 0·75-0·94, p=0·0034), setting performance-based bonus (treatment 1·39, 1·07-1·80; p=0·013), basic salary defined by number of patient visits (control 0·85, 0·76-0·95; p=0·0053), using electronic referrals (treatment 1·41, 1·14-1·73; p=0·0012, control 1·17; 1·03-1·33, p=0·014), implementing family physician contract services (awareness 1·13, 1·00-1·28; p=0·045, control 1·30; 1·15-1·46, p<0·0001), and proportion of physicians who are formally licensed (awareness per 10% increase 1·04, 1·01-1·08; p=0·019, treatment 1·08; 1·02-1·14, p=0·0077; control per 10% increase 1·07, 1·03-1·10; p=0·0006). INTERPRETATION The role of primary care role in hypertension management might benefit from new strategies that promote best practices in institutional financing, performance appraisal, service delivery, and information technology. FUNDING Chinese Academy of Medical Sciences Innovation Fund for Medical Science, and the National High Level Hospital Clinical Research Funding. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
| | - Tianna Zhou
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
| | - Yunfeng Wang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na Tian
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xueke Bai
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoyan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Lu
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
| | - Erica S Spatz
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA; Yale School of Public Health, New Haven, CT, USA
| | - Joseph S Ross
- Section of General Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA; Yale School of Public Health, New Haven, CT, USA
| | - Harlan M Krumholz
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA; Yale School of Public Health, New Haven, CT, USA
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, China; Shenzhen Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
| | - Shengshou Hu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis. BJGP Open 2021; 5:BJGPO.2021.0066. [PMID: 34404634 PMCID: PMC8596307 DOI: 10.3399/bjgpo.2021.0066] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/25/2021] [Indexed: 11/29/2022] Open
Abstract
Background In England, demand for primary care services is increasing and GP shortages are widespread. Recently introduced primary care networks (PCNs) aim to expand the use of additional practice-based roles such as physician associates (PAs), pharmacists, paramedics, and others through financial incentives for recruitment of these roles. Inequalities in general practice, including additional roles, have not been examined in recent years, which is a meaningful gap in the literature. Previous research has found that workforce inequalities are associated with health outcome inequalities. Aim To examine recent trends in general practice workforce inequalities. Design & setting A longitudinal study using quarterly General Practice Workforce datasets from 2015–2020 in England. Method The slope indices of inequality (SIIs) for GPs, nurses, total direct patient care (DPC) staff, PAs, pharmacists, and paramedics per 10 000 patients were calculated quarterly, and plotted over time, with and without adjustment for patient need. Results Fewer GPs, total DPC staff, and paramedics per 10 000 patients were employed in more deprived areas. Conversely, more PAs and pharmacists per 10 000 patients were employed in more deprived areas. With the exception of total DPC staff, these observed inequalities widened over time. The unadjusted analysis showed more nurses per 10 000 patients employed in more deprived areas. These values were not significant after adjustment but approached a more equal or pro-poor distribution over time. Conclusion Significant workforce inequalities exist and are even increasing for several key general practice roles, with workforce shortages disproportionately affecting more deprived areas. Policy solutions are urgently needed to ensure an equitably distributed workforce and reduce health inequities.
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Mainous AG. Maintaining a Sufficient Primary Care Workforce: A Problem We Should Not Have. Front Med (Lausanne) 2021; 7:638894. [PMID: 33553225 PMCID: PMC7855577 DOI: 10.3389/fmed.2020.638894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 12/22/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Arch G Mainous
- Departments of Health Services Research, Management & Policy and Community Health and Family Medicine, University of Florida, Gainesville, FL, United States
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Baker R, Wilson A, Nockels K, Agarwal S, Modi P, Bankart J. Levels of detection of hypertension in primary medical care and interventions to improve detection: a systematic review of the evidence since 2000. BMJ Open 2018; 8:e019965. [PMID: 29567850 PMCID: PMC5875641 DOI: 10.1136/bmjopen-2017-019965] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES In England, many hypertensives are not detected by primary medical care. Higher detection is associated with lower premature mortality. We aimed to summarise recent evidence on detection and interventions to improve detection in order to inform policies to improve care. DESIGN Data sources: systematic review of articles published since 2000. Searches of Medline and Embase were undertaken. Eligibility criteria: published in English, any study design, the setting was general practice and studies included patients aged 18 or over. EXCLUSION CRITERIA screening schemes, studies in primary care settings other than general practice, discussion or comment pieces. PARTICIPANTS adult patients of primary medical care services. SYNTHESIS study heterogeneity precluded a statistical synthesis, and papers were described in summary tables. RESULTS Seventeen quantitative and one qualitative studies were included. Detection rates varied by gender and ethnic group, but longitudinal studies indicated an improvement in detection over time. Patient socioeconomic factors did not influence detection, but living alone was associated with lower detection. Few health system factors were associated with detection, but in two studies higher numbers of general practitioners per 1000 population were associated with higher detection. Three studies investigated interventions to improve detection, but none showed evidence of effectiveness. LIMITATIONS The search was limited to studies published from 2000, in English. There were few studies of interventions to improve detection, and a meta-analysis was not possible. CONCLUSIONS AND IMPLICATIONS Levels of detection of hypertension by general practices may be improving, but large numbers of people with hypertension remain undetected. Improvement in detection is therefore required, but guidance for primary medical care is not provided by the few studies of interventions included in this review. Primary care teams should continue to use low-cost, practical approaches to detecting hypertension until evidence from new studies of interventions to improve detection is available.
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Affiliation(s)
- Richard Baker
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Andrew Wilson
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Keith Nockels
- Learning and Teaching Services, University of Leicester, Leicester, UK
| | - Shona Agarwal
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Priya Modi
- Faculty of Medicine, Charles’ University, Praha, Czech Republic
| | - John Bankart
- Department of Health Sciences, University of Leicester, Leicester, UK
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Accuracy of monitors used for blood pressure checks in English retail pharmacies: a cross-sectional observational study. Br J Gen Pract 2016; 66:e309-14. [PMID: 27025555 DOI: 10.3399/bjgp16x684769] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 12/28/2015] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Free blood pressure (BP) checks offered by community pharmacies provide a potentially useful opportunity to diagnose and/or manage hypertension, but the accuracy of the sphygmomanometers in use is currently unknown. AIM To assess the accuracy of validated automatic BP monitors used for BP checks in a UK retail pharmacy chain. DESIGN AND SETTING Cross-sectional, observational study in 52 pharmacies from one chain in a range of locations (inner city, suburban, and rural) in central England. METHOD Monitor accuracy was compared with a calibrated reference device (Omron PA-350), at 50 mmHg intervals across the range 0-300 mmHg (static pressure test), with a difference from the reference monitor of +/- 3 mmHg at any interval considered a failure. The results were analysed by usage rates and length of time in service. RESULTS Of 61 BP monitors tested, eight (13%) monitors failed (that is, were >3 mmHg from reference), all of which underestimated BP. Monitor failure rate from the reference monitor of +/- 3 mmHg at any testing interval varied by length of time in use (2/38, 5% <18 months; 4/14, 29% >18 months, P = 0.038) and to some extent, but non-significantly, by usage rates (4/22, 18% in monitors used more than once daily; 2/33, 6% in those used less frequently, P = 0.204). CONCLUSION BP monitors within a pharmacy setting fail at similar rates to those in general practice. Annual calibration checks for blood pressure monitors are needed, even for new monitors, as these data indicate declining performance from 18 months onwards.
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Baker R, Honeyford K, Levene LS, Mainous AG, Jones DR, Bankart MJ, Stokes T. Population characteristics, mechanisms of primary care and premature mortality in England: a cross-sectional study. BMJ Open 2016; 6:e009981. [PMID: 26868945 PMCID: PMC4762103 DOI: 10.1136/bmjopen-2015-009981] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Health systems with strong primary care tend to have better population outcomes, but in many countries demand for care is growing. We sought to identify mechanisms of primary care that influence premature mortality. DESIGN We developed a conceptual model of the mechanisms by which primary care influences premature mortality, and undertook a cross-sectional study in which population and primary care variables reflecting the model were used to explain variations in mortality of those aged under 75 years. The premature standardised mortality ratios (SMRs) for each practice, available from the Department of Health, had been calculated from numbers of deaths in the 5 years from 2006 to 2010. A regression model was undertaken with explanatory variables for the year 2009/2010, and repeated to check stability using data for 2008/2009 and 2010/2011. SETTING All general practices in England were eligible for inclusion and, of the total of 8290, complete data were available for 7858. RESULTS Population variables, particularly deprivation, were the most powerful predictors of premature mortality, but the mechanisms of primary care depicted in our model also affected mortality. The number of GPs/1000 population and detection of hypertension were negatively associated with mortality. In less deprived practices, continuity of care was also negatively associated with mortality. CONCLUSIONS Greater supply of primary care is associated with lower premature mortality even in a health system that has strong primary care (England). Health systems need to sustain the capacity of primary care to deliver effective care, and should assist primary care providers in identifying and meeting the needs of socioeconomically deprived groups.
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Affiliation(s)
- Richard Baker
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Kate Honeyford
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Louis S Levene
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Arch G Mainous
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida, USA
- Department of Community Health and Family Medicine, University of Florida, Gainesville, Florida, USA
| | - David R Jones
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - M John Bankart
- Department of Primary Care and Health Sciences, University of Keele, Keele, UK
| | - Tim Stokes
- Department of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
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Are there enough GPs in England to detect hypertension and maintain access? Br J Gen Pract 2013; 63:346-7. [PMID: 23834865 DOI: 10.3399/bjgp13x669103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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