Literature DB >> 27066957

How to best assess quality of drug treatment in patients with heart failure.

Ramin Zarrinkoub1,2,3, Thomas Kahan4,5, Sven-Erik Johansson1, Per Wändell1, Märit Mejhert4,6, Björn Wettermark7,8.   

Abstract

BACKGROUND: The proportion of patients with heart failure (HF) treated with angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB) is frequently used as quality indicator. This study aimed to compare agreement between different methods of calculating this quality indicator. In addition, characteristics for patients and care providers associated with a high proportion treated with ACEI or ARB were analyzed.
METHODS: This Swedish cross-sectional register-based study was conducted in the Stockholm region (2.1 million inhabitants). The proportion of patients with HF treated with ACEI or ARB was calculated by different methods applied on an administrative database on healthcare consumption, diagnoses, and dispensed drugs and by self-reported data from all primary care centers in the region.
RESULTS: A total of 32,677 patients recorded with a HF diagnosis 2008-2012 and alive July-December 2012 were identified. The proportion treated with ACEI or ARB varied depending on observation period and care provider included (range register 52-74 %). There was a large variation between different primary care centers (range register 36-88 %, range self-reported 8-100 %) and a poor agreement between methods (Bland-Altman; rhoc range 0.07-0.23). Predictors for high proportion treated were low age, high socioeconomic status, cardiovascular comorbidity, and diagnosis recorded both in primary care and in hospitals.
CONCLUSIONS: There is poor agreement between different methods to evaluate adherence to guidelines for drug treatment in HF. Differences between practices concerning patient age, socioeconomic status, comorbidity, and care given by different providers should be taken into account in quality assessment.

Entities:  

Keywords:  Angiotensin receptor blocker; Angiotensin-converting enzyme inhibitors; Drug utilization; Heart failure; Quality indicators

Mesh:

Substances:

Year:  2016        PMID: 27066957     DOI: 10.1007/s00228-016-2052-y

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  32 in total

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Journal:  Int J Qual Health Care       Date:  1999-06       Impact factor: 2.038

Review 2.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

3.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

4.  Quality of congestive heart failure care: assessing measurement of care using electronic medical records.

Authors:  Heather Maddocks; J Neil Marshall; Moira Stewart; Amanda L Terry; Sonny Cejic; Jo-Anne Hammond; John Jordan; Vijaya Chevendra; Louisa Bestard Denomme; Amardeep Thind
Journal:  Can Fam Physician       Date:  2010-12       Impact factor: 3.275

5.  The validity of a diagnosis of heart failure in a hospital discharge register.

Authors:  Erik Ingelsson; Johan Arnlöv; Johan Sundström; Lars Lind
Journal:  Eur J Heart Fail       Date:  2005-08       Impact factor: 15.534

6.  Reasons for not prescribing guideline-recommended medications to adults with heart failure.

Authors:  Michael A Steinman; Liezel Dimaano; Carolyn A Peterson; Paul A Heidenreich; Sara J Knight; Kathy Z Fung; Peter J Kaboli
Journal:  Med Care       Date:  2013-10       Impact factor: 2.983

Review 7.  Heart failure and socioeconomic status: accumulating evidence of inequality.

Authors:  Nathaniel M Hawkins; Pardeep S Jhund; John J V McMurray; Simon Capewell
Journal:  Eur J Heart Fail       Date:  2012-02       Impact factor: 15.534

8.  External review and validation of the Swedish national inpatient register.

Authors:  Jonas F Ludvigsson; Eva Andersson; Anders Ekbom; Maria Feychting; Jeong-Lim Kim; Christina Reuterwall; Mona Heurgren; Petra Otterblad Olausson
Journal:  BMC Public Health       Date:  2011-06-09       Impact factor: 3.295

9.  Utilization of evidence-based treatment in elderly patients with chronic heart failure: using Korean Health Insurance claims database.

Authors:  Ju-Young Kim; Hwa-Jung Kim; Sun-Young Jung; Kwang-Il Kim; Hong Ji Song; Joong-Yub Lee; Jong-Mi Seong; Byung-Joo Park
Journal:  BMC Cardiovasc Disord       Date:  2012-07-31       Impact factor: 2.298

10.  High prevalence of diagnosis of diabetes, depression, anxiety, hypertension, asthma and COPD in the total population of Stockholm, Sweden - a challenge for public health.

Authors:  Axel C Carlsson; Per Wändell; Urban Ösby; Ramin Zarrinkoub; Björn Wettermark; Gunnar Ljunggren
Journal:  BMC Public Health       Date:  2013-07-18       Impact factor: 3.295

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  1 in total

1.  Effectiveness by gender and age of renin-angiotensin system blockade in heart failure-A national register-based cohort study.

Authors:  Anna Ohlsson; Bertil Lindahl; Ronnie Pingel; Marianne Hanning; Ragnar Westerling
Journal:  Pharmacoepidemiol Drug Saf       Date:  2020-02-17       Impact factor: 2.890

  1 in total

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