scholarly journals Identifying primary care quality indicators for people with serious mental illness: a systematic review

2017 ◽  
Vol 67 (661) ◽  
pp. e519-e530 ◽  
Author(s):  
Christoph Kronenberg ◽  
Tim Doran ◽  
Maria Goddard ◽  
Tony Kendrick ◽  
Simon Gilbody ◽  
...  

BackgroundSerious mental illness (SMI) — which comprises long-term conditions such as schizophrenia, bipolar disorder, and other psychoses — has enormous costs for patients and society. In many countries, people with SMI are treated solely in primary care, and have particular needs for physical care.AimThe objective of this study was to systematically review the literature to create a list of quality indicators relevant to patients with SMI that could be captured using routine data, and which could be used to monitor or incentivise better-quality primary care.Design and settingA systematic literature review, combined with a search of quality indicator databases and guidelines.MethodThe authors assessed whether indicators could be measured from routine data and the quality of the evidence.ResultsOut of 1847 papers and quality indicator databases identified, 27 were included, from which 59 quality indicators were identified, covering six domains. Of the 59 indicators, 52 could be assessed using routine data. The evidence base underpinning these indicators was relatively weak, and was primarily based on expert opinion rather than trial evidence.ConclusionWith appropriate adaptation for different contexts, and in line with the relative responsibilities of primary and secondary care, use of the quality indicators has the potential to improve care and to improve the physical and mental health of people with SMI. However, before the indicators can be used to monitor or incentivise primary care quality, more robust links need to be established, with improved patient outcomes.

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e023135 ◽  
Author(s):  
Jemimah Ride ◽  
Panagiotis Kasteridis ◽  
Nils Gutacker ◽  
Christoph Kronenberg ◽  
Tim Doran ◽  
...  

ObjectiveTo investigate whether two primary care activities that are framed as indicators of primary care quality (comprehensive care plans and annual reviews of physical health) influence unplanned utilisation of hospital services for people with serious mental illness (SMI).Design, setting, participantsRetrospective observational cohort study using linked primary care and hospital records (Hospital Episode Statistics) for 5158 patients diagnosed with SMI between April 2006 and March 2014, who attended 213 primary care practices in England that contribute to the Clinical Practice Research Datalink GOLD database.Outcomes and analysisCox survival models were used to estimate the associations between two primary care quality indicators (care plans and annual reviews of physical health) and the hazards of three types of unplanned hospital utilisation: presentation to accident and emergency departments (A&E), admission for SMI and admission for ambulatory care sensitive conditions (ACSC).ResultsRisk of A&E presentation was 13% lower (HR 0.87, 95% CI 0.77 to 0.98) and risk of admission to hospital for ACSC was 23% lower (HR 0.77, 95% CI 0.60 to 0.99) for patients with a care plan documented in the previous year compared with those without a care plan. Risk of A&E presentation was 19% lower for those who had a care plan documented earlier but not updated in the previous year (HR: 0.81, 95% CI 0.67 to 0.97) compared with those without a care plan. Risks of hospital admission for SMI were not associated with care plans, and none of the outcomes were associated with annual reviews.ConclusionsCare plans documented in primary care for people with SMI are associated with reduced risk of A&E attendance and reduced risk of unplanned admission to hospital for physical health problems, but not with risk of admission for mental health problems. Annual reviews of physical health are not associated with risk of unplanned hospital utilisation.


2008 ◽  
Vol 23 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Andrea M. Wessell ◽  
Heather A. Liszka ◽  
Paul J. Nietert ◽  
Ruth G. Jenkins ◽  
Lynne S. Nemeth ◽  
...  

2014 ◽  
Vol 64 (629) ◽  
pp. e752-e757 ◽  
Author(s):  
Peter J Gill ◽  
Braden O’Neill ◽  
Peter Rose ◽  
David Mant ◽  
Anthony Harnden

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
J V Santos ◽  
J Viana ◽  
J Souza ◽  
M Lobo ◽  
A Ramalho ◽  
...  

Abstract Background Primary care quality is one of the main dimensions of primary care performance and can be evaluated by several methods, e.g. studying hospitalizations for conditions that could be treated, or less severe, if appropriately managed in primary care. Accordingly, the Agency for Healthcare Research and Quality (AHRQ) developed prevention quality indicators (PQIs). In this study, we aimed to compare PQIs and their time trends across Portuguese regions. Methods We performed a retrospective study, using all adult public hospital discharges in mainland Portugal, between 2011 and 2015. PQI rates for the overall (PQI 90) and composite indicators (i.e. 91 - acute, 92 - chronic, 93 - diabetes) were computed using AHRQ specifications. These rates were compared between the 5 Portuguese NUTS 2 regions of residence. Results From the total of 407,792 hospital discharges in mainland Portugal (2011-2015) 11.9% comprised the selected PQIs, the majority related the acute composite PQI, followed by the chronic composite PQI. The hospitalization rate of the overall PQI increased from 999.5 hospitalizations (2011) to 1231,0 hospitalizations/100,000 inhabitants (2015), with an increase in all NUTS 2 regions. In 2015, while Algarve and North had the lowest PQI rates, Centro and Alentejo showed the highest ones. Conclusions Between 2011 and 2015, there was an increasing trend of overall and composite PQI rates. Also, important differences between Portuguese regions were found that must be further studied. The authors thank the support given by the Project ’POCI-01-0145-FEDER-030766’ (1st.IndiQare - Quality indicators in primary health care: validation and implementation of quality indicators as an assessment and comparison tool), funded by Fundação para a Ciência e a Tecnologia (FCT) and co-funded by Fundo de Desenvolvimento Regional (FEDER) through Operacional Competitividade e Internacionalização (COMPETE 2020). Key messages Between 2011 and 2015, overall prevention quality indicator rate increased in Portugal. There are great differences between Portuguese NUTS 2 regions regarding prevention quality indicators.


2011 ◽  
Vol 41 (19) ◽  
pp. 48-49
Author(s):  
MARY ELLEN SCHNEIDER

2021 ◽  
Vol 30 (5) ◽  
pp. 1124-1138
Author(s):  
Elisabet Rodriguez Llorian ◽  
Gregory Mason

2021 ◽  
pp. 135581962110127
Author(s):  
Irina Lut ◽  
Kate Lewis ◽  
Linda Wijlaars ◽  
Ruth Gilbert ◽  
Tiffany Fitzpatrick ◽  
...  

Objectives To demonstrate the challenges of interpreting cross-country comparisons of paediatric asthma hospital admission rates as an indicator of primary care quality. Methods We used hospital administrative data from >10 million children aged 6–15 years, resident in Austria, England, Finland, Iceland, Ontario (Canada), Sweden or Victoria (Australia) between 2008 and 2015. Asthma hospital admission and emergency department (ED) attendance rates were compared between countries using Poisson regression models, adjusted for age and sex. Results Hospital admission rates for asthma per 1000 child-years varied eight-fold across jurisdictions. Admission rates were 3.5 times higher when admissions with asthma recorded as any diagnosis were considered, compared with admissions with asthma as the primary diagnosis. Iceland had the lowest asthma admission rates; however, when ED attendance rates were considered, Sweden had the lowest rate of asthma hospital contacts. Conclusions The large variations in childhood hospital admission rates for asthma based on the whole child population reflect differing definitions, admission thresholds and underlying disease prevalence rather than primary care quality. Asthma hospital admissions among children diagnosed with asthma is a more meaningful indicator for inter-country comparisons of primary care quality.


Author(s):  
Lexie R. Grove ◽  
Alex K. Gertner ◽  
Karen E. Swietek ◽  
Ching-Ching Claire Lin ◽  
Neepa Ray ◽  
...  

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