Nurse staffing and quality of care in UK general practice: cross-sectional study using routinely collected data

被引:47
|
作者
Griffiths, P. [1 ]
Murrells, T. [1 ]
Maben, J.
Jones, S.
Ashworth, M. [2 ]
机构
[1] Kings Coll London, Natl Nursing Res Unit, London SE1 8WA, England
[2] Kings Coll London, Dept Gen Practice & Primary Care, London SE1 8WA, England
来源
BRITISH JOURNAL OF GENERAL PRACTICE | 2010年 / 60卷 / 570期
关键词
cross-sectional studies; family practice; health care; incentive; nursing staff; personnel staffing and scheduling; physician incentive plans; quality indicators; quality of health care; reimbursement; CONTRACT; PAY;
D O I
10.3399/bjgp10X482086
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background In many UK general practices, nurses have been used to deliver results against the indicators of the Quality and Outcomes Framework (QOF), a 'pay for performance' scheme. Aim To determine the association between the level of nurse staffing in general practice and the quality of clinical care as measured by the QOF Design of the study Cross-sectional analysis of routine data. Setting English general practice in 2005/2006. Method QOF data from 7456 general practices were linked with a database of practice characteristics, nurse staffing data, and census-derived data on population characteristics and measures of population density. Multi-level modelling explored the relationship between QOF performance and the number of patients per full-time equivalent nurse. The outcome measures were achievement of quality of care for eight clinical domains as rated by the QOF, and reported achievement of 10 clinical outcome indicators derived from it. Results A high level of nurse staffing (fewer patients per full-time equivalent practice-employed nurse) was significantly associated with better performance in 4/8 clinical domains of the QOF (chronic obstructive pulmonary disease, coronary heart disease, diabetes, and hypertension, P = 0.004 to P<0.001) and in 4/10 clinical outcome indicators (diabetes: glycosylated haemoglobin [HbA(1c)] <= 7.4%, HbA(1c) <= 10% and total cholesterol <= 193 mg/dl; and stroke: total chol esterol <= 5 mmol/L, P = 0.0057 to P<0.001). Conclusion Practices that employ more nurses perform better in a number of clinical domains measured by the QOF This improved performance includes better intermediate clinical outcomes, suggesting real patient benefit may be associated with using nurses to deliver care to meet QOF targets.
引用
收藏
页码:34 / 39
页数:6
相关论文
共 50 条
  • [1] Hospital admissions for asthma, diabetes and COPD: is there an association with practice nurse staffing? A cross sectional study using routinely collected data
    Griffiths, Peter
    Murrells, Trevor
    Dawoud, Dalia
    Jones, Simon
    BMC HEALTH SERVICES RESEARCH, 2010, 10
  • [2] Hospital admissions for asthma, diabetes and COPD: is there an association with practice nurse staffing? A cross sectional study using routinely collected data
    Peter Griffiths
    Trevor Murrells
    Dalia Dawoud
    Simon Jones
    BMC Health Services Research, 10
  • [3] Factors associated with enablement in general practice: cross-sectional study using routinely-collected data
    Mead, Nicola
    Bower, Peter
    Roland, Kartin
    BRITISH JOURNAL OF GENERAL PRACTICE, 2008, 58 (550): : 346 - 352
  • [4] Nurse managers' perceptions of nurse staffing and nursing care quality: A cross-sectional study
    Almeida Neves, Teresa Margarida
    Santos Dinis Parreira, Pedro Miguel
    Garcia Nascimento Graveto, Joao Manuel
    Baptista dos Santos de Freitas, Maria Joao
    Lopes Rodrigues, Victor Jose
    JOURNAL OF NURSING MANAGEMENT, 2020, 28 (03) : 625 - 633
  • [5] Organisational quality, nurse staffing and the quality of chronic disease management in primary care: Observational study using routinely collected data
    Griffiths, Peter
    Maben, Jill
    Murrells, Trevor
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2011, 48 (10) : 1199 - 1210
  • [6] Nurse staffing, missed care, quality of care and adverse events: A cross-sectional study
    Nantsupawat, Apiradee
    Poghosyan, Lusine
    Wichaikhum, Orn-Anong
    Kunaviktikul, Wipada
    Fang, Yaxuan
    Kueakomoldej, Supakorn
    Thienthong, Hunsa
    Turale, Sue
    JOURNAL OF NURSING MANAGEMENT, 2022, 30 (02) : 447 - 454
  • [7] Are clinicians using routinely collected data to drive practice improvement? A cross-sectional survey
    Gawthorne, Julie
    Fasugba, Oyebola
    Levi, Christopher
    Mcinnes, Elizabeth
    Ferguson, Caleb
    Mcneil, John
    Cadilhac, Dominique A.
    Everett, Bronwyn
    Fernandez, Ritin
    Fry, Margaret
    Goldsmith, Helen
    Hickman, Louise
    Jackson, Debra
    Maguire, Jane
    Murray, Edel
    Perry, Lin
    Middleton, Sandy
    INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2022, 34 (03)
  • [8] Are clinicians using routinely collected data to drive practice improvement? A cross-sectional survey
    Gawthorne, Julie
    Fasugba, Oyebola
    Levi, Chris
    Mcinnes, Elizabeth
    Ferguson, Caleb
    Mcneil, John J.
    Cadilhac, Dominique A.
    Everett, Bronwyn
    Fernandez, Ritin
    Fry, Margaret
    Goldsmith, Helen
    Hickman, Louise
    Jackson, Deborah
    Maguire, Jane
    Murray, Edel
    Perry, Lin
    Middleton, Sandy
    INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2021, 33 (04)
  • [9] Abnormal lipids in high-risk patients achieving cholesterol targets: a cross-sectional study of routinely collected UK general practice data
    Belsey, Jonathan
    de Lusignan, Simon
    Chan, Tom
    Van Vlymen, Jeremy
    Hague, Nigel
    CURRENT MEDICAL RESEARCH AND OPINION, 2008, 24 (09) : 2551 - 2560
  • [10] Impact of safe nurse staffing on the quality of care in Portuguese public hospitals: A cross-sectional study
    Almeida Neves, Teresa Margarida
    Santos Dinis Parreira, Pedro Miguel
    Lopes Rodrigues, Victor Jose
    Nascimento Graveto, Joao Manuel Garcia
    JOURNAL OF NURSING MANAGEMENT, 2021, 29 (05) : 1246 - 1255