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p r i m a r y c a r e d i a b e t e s x x x ( 2 0 1 7 ) xxx–xxx
Contents lists available at ScienceDirect
Primary Care Diabetes
journal homepage: http://www.elsevier.com/locate/pcd
Original research
Assessing variability in compliance with
recommendations given by the International
Diabetes Federation (IDF) for patients with type 2
diabetes in primary care using electronic records.
The APNA study
a,∗ a b
Antonio Brugos-Larumbe , Pablo Aldaz-Herce , Francisco Guillen-Grima
a a
, Francisco Javier Garjón-Parra , Francisco Javier Bartolomé-Resano ,
a a
María Teresa Arizaleta-Beloqui , Ignacio Pérez-Ciordia , Ana María
a a c
Fernández-Navascués , María José Lerena-Rivas , Jesús Berjón-Reyero ,
a d
Luisa Jusué-Rípodas , Ines Aguinaga-Ontoso
a
Primary Health Care, Navarra Health Service, Pamplona, Navarra, Spain
b
Dept. of Health Sciences, Public University of Navarra, Preventive Medicine University of Navarra Clinic, IdiSNA
(Navarra Institute for Health Research), Pamplona, Navarra, Spain
c
Hospital Complex of Navarra, Navarra Health Service, Pamplona, Navarra, Spain
d
Dept. of Health Sciences, Public University of Navarra, Pamplona, Navarra, Spain
a r t i c l e i n f o a b s t r a c t
Article history: Objective: Assess compliance with the IDF recommendations for patients with Diabetes
Received 4 May 2016 Type2 (DM2), and its variability, by groups of doctors and nurses who provide primary care
Received in revised form services in Navarre (Spain).
1 February 2017 Materials and methodologies: A cross-sectional study of a population of 462,568 inhabitants,
Accepted 15 June 2017 aged ≥18 years in 2013, attended by 381 units of doctor/nurse (quota). Clinical data were
Available online xxx collected retrospectively through electronic records.
Using cluster analysis, we identified two groups of units according to the score for each
Keywords: indicator. We calculated the Odds Ratio, adjusted for age sex, BMI, socioeconomic status
Diabetes mellitus and smoking, for complying with each recommendation whether a patient was treated by
Type 2 one of the quota from the highest score to the lowest.
∗
Corresponding author at: Centro de Salud de Villava. Plaza Miguel Indurain s/n, 31610 – Villava/Atarrabia, Navarra, Spain.
E-mail addresses: [email protected], [email protected] (A. Brugos-Larumbe), [email protected] (P. Aldaz-Herce),
[email protected] (F. Guillen-Grima), javier.garjon.parra@navarra.es (F.J. Garjón-Parra), [email protected]
(F.J. Bartolomé-Resano), [email protected] (M.T. Arizaleta-Beloqui), [email protected] (I. Pérez-
Ciordia), [email protected] (A.M. Fernández-Navascués), [email protected] (M.J. Lerena-Rivas),
[email protected] (J. Berjón-Reyero), [email protected] (L. Jusué-Rípodas), [email protected]
(I. Aguinaga-Ontoso).
http://dx.doi.org/10.1016/j.pcd.2017.06.008
1751-9918/© 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.
Please cite this article in press as: A. Brugos-Larumbe, et al., Assessing variability in compliance with recommendations given by the International
Diabetes Federation (IDF) for patients with type 2 diabetes in primary care using electronic records. The APNA study, Prim. Care Diab. (2017), http://dx.doi.org/10.1016/j.pcd.2017.06.008
PCD-628; No. of Pages 11 ARTICLE IN PRESS
2 p r i m a r y c a r e d i a b e t e s x x x ( 2 0 1 7 ) xxx–xxx
Primary health care 30,312 patients with DM2 were identified: prevalence: 6.39%; coefficient of variation between
Variability in clinical practice UDN: 22.8%; biggest cluster 7.7% and smallest 5.3%; OR = 1.54 (1.50–1.58).
≤
Small-area analysis The HbA1c control at 8% was 82.8% (82.2–83.3) and >9% was 7.6% (7.3–8.0), with OR 1.79
(1.69–1.89) and 2.62 (2.36–2.91) respectively. Control of BP and LDL-C show significant differ-
ences between the clusters.
Conclusions: An important variability was identified according to the doctor treating patients.
The average HbA1c control is acceptable being limited in BP and LDL-C.
© 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.
Europe and other countries. The extended use of computer-
1. Introduction
ized clinical records allows selected multivariate analyses of
both epidemiological data and quality of care or outcome of
Diabetes is a major public health problem because of its high
patients in charge of the local primary care system. Despite
morbidity and high prevalence. The International Diabetes
some limitations that may persist in the quality of data, the
Federation (IDF) estimated that in 2015 the European region
use of electronic records to evaluate the quality of care of type
had about 60 million diabetics aged between 20 and 79 years
2 diabetes is an increasingly accepted practice [18–21].
old, a prevalence of 9.1% (6.8–13.0), predicting an increase
In Spain the use of primary health care record for the detec-
to 10.7% (8.2–14.9) for 2040 [1]. The estimated prevalence for
tion of the prevalence of DM and cardiovascular diseases has
Spain in 2015 was 10.4% (8.2–14.7).
been validated [22].
People with diabetes have twice the cardiovascular risk
Our study is part of the Navarre Primary Care study (APNA
non-diabetics do [2] and in addition diabetes is associated
study) that uses electronic records of PC medical history files
with a significant premature mortality [3]. Although there is
and we intend to assess compliance by PC givers with the
evidence that early diagnosis and metabolic control reduce
recommendations proposed by the IDF for DM2 patients as
microvascular complications [4,5], it is not yet certain that
well as evaluate the variability among the health care centres
intensive control compared to standard control can have
providing the service.
a positive effect on macrovascular complications; it could
also be associated with an increased risk of vascular mor-
tality and severe hypoglycemia [6–8]. Identifying the basal
glycemia under fasting conditions as well as the glycosylated 2. Methods
hemoglobin are considered adequate tests for diagnosis [9].
The level of glycemic control in diabetic patients in Spain This study was conducted in Navarre, a community located
is acceptable [10], although controlling for cardiovascular risk in northern Spain, with a population, in December 2013, aged
≥
factors is low, especially in patients at high risk [11]. 18 years-old of 462,568 inhabitants (50.67% women). A pop-
More than 40 years since Wennberg and Gittelsohn [12] ulation group called “cupo” (quota) was assigned to a family
highlighted the significant variability in clinical practice not doctor and a nurse in PC. We analysed 381 quotas with an
±
justified by the health problems of the population, several average population of 1214 339.
studies have found that this variability can be seen regardless We analysed the 2013 electronic records showing clini-
of the country or health system being studied and occurs both cal variables that doctors or nurses registered in code during
in diagnostic, therapeutic or preventive services [13–15]. A sys- the consultation. Likewise, the analytical results electronically
tematic programme for preventive activities in primary care included in the medical history from laboratories were also
(PC) is available in Spain which is evaluated regularly, identi- collected. Variables related to diet, exercise or retinopathy or
fying variabilities between health centres [16]. However it is feet assessments were not included as they were not avail-
not known whether there is variability in the identification able in encoded form. The data were anonymized, and the
and control of diabetes. requirement for informed consent was therefore waived.
In the US, the National Health and Nutrition Examination
Survey (NHANES) assessed the degree of control of diabetes
and cardiovascular risk factors, and found that 30–50% of 2.1. Study variables
patients did not comply with the individualised objectives of
glycemic, blood pressure (BP) or lipid control, and more than Age, sex, health centre, quota, socioecomonic status, smoking,
20% continued to smoke [17]. Likewise in Spain the ENRICA type 2 diabetes diagnosis, weight (kilograms), height (metres),
2
study reported that 70.9% of DM2 have HbA1c at <7%, but only body mass index (BMI: weight/height ), waist circumfer-
21.9% maintain BP control of <130/80 mmHg [10]. ence (cm), systolic and diastolic blood pressure (mmHg),
The IDF proposes assessment indicators for the quality of basal glycemia (mg/dl), glycated hemoglobin (HbA1c: %),
care given to these people based on the best available evidence total cholesterol (mg/dl), HDL cholesterol (HDL-C: mg/dl), LDL
[9]. cholesterol (LDL-C: mg/dl), triglycerides (TG: mg/dl).
Cross-sectional studies of Social Security/NHS populations We assessed a selection of indicators proposed by the IDF
in Primary Care settings are common and widespread all over that were possible with the available coded variables [9].
Please cite this article in press as: A. Brugos-Larumbe, et al., Assessing variability in compliance with recommendations given by the International
Diabetes Federation (IDF) for patients with type 2 diabetes in primary care using electronic records. The APNA study, Prim. Care Diab. (2017), http://dx.doi.org/10.1016/j.pcd.2017.06.008