Methods to identify the target population: implications for prescribing quality indicators

Provider perceptions of challenges to identifying women Veterans with hazardous substance use

BACKGROUND

Approximately one-third of women Veterans Health Administration (VHA) users have substance use disorders (SUD). Early identification of hazardous substance use in this population is critical for the prevention and treatment of SUD. We aimed to understand challenges to identifying women Veterans with hazardous substance use to improve future referral, evaluation, and treatment efforts.

METHODS

Design: We conducted a secondary analysis of semi-structured interviews conducted with VHA interdisciplinary women's SUD providers at VA Greater Los Angeles Healthcare System.

PARTICIPANTS

Using purposive and snowball sampling we interviewed 17 VHA providers from psychology, social work, women's health, primary care, and psychiatry.

APPROACH

Our analytic approach was content analysis of provider perceptions of identifying hazardous substance use in women Veterans.

RESULTS

Providers noted limitations across an array of existing identification methodologies employed to identify women with hazardous substance use and believed these limitations were abated through trusting provider-patient communication. Providers emphasized the need to have a process in place to respond to hazardous use when identified. Provider level factors, including provider bias, and patient level factors such as how they self-identify, may impact identification of women Veterans with hazardous substance use. Tailoring language to be sensitive to patient identity may help with identification in women Veterans with hazardous substance use or SUD who are not getting care in VHA but are eligible as well as those who are not eligible for care in VHA.

CONCLUSIONS

To overcome limitations of existing screening tools and processes of identifying and referring women Veterans with hazardous substance use to appropriate care, future efforts should focus on minimizing provider bias, building trust in patient-provider relationships, and accommodating patient identities.

Quality criteria/key components for high quality of diabetes management to avoid diabetes-related complications

Aim

The aim of this review shoud be to map data and to identify quality indicators for good practices for diabetes management and secondary prevention, specifically of type 2 diabetes.

Methods

To achieve this aim we performed the following steps: (i) a literature review on evaluation criteria, (ii) selection of quality criteria and key components for high quality of care, (iii) creation of a checklist to identify the best practice of diabetes management based on the detected criteria.

Results

The literature search about the quality indicators for diabetes care resulted in the following: identifying of key components and quality indicators for structure, process and outcome quality.

Conclusions

The set of quality criteria will be discussed and used to identify the best practice diabetes management programs for secondary prevention of type 2 diabetes.

Linking clinotypes to phenotypes and genotypes from laboratory test results in comprehensive physical exams

BACKGROUND

In this work, we aimed to demonstrate how to utilize the lab test results and other clinical information to support precision medicine research and clinical decisions on complex diseases, with the support of electronic medical record facilities. We defined "clinotypes" as clinical information that could be observed and measured objectively using biomedical instruments. From well-known 'omic' problem definitions, we defined problems using clinotype information, including stratifying patients-identifying interested sub cohorts for future studies, mining significant associations between clinotypes and specific phenotypes-diseases, and discovering potential linkages between clinotype and genomic information. We solved these problems by integrating public omic databases and applying advanced machine learning and visual analytic techniques on two-year health exam records from a large population of healthy southern Chinese individuals (size n = 91,354). When developing the solution, we carefully addressed the missing information, imbalance and non-uniformed data annotation issues.

RESULTS

We organized the techniques and solutions to address the problems and issues above into CPA framework (Clinotype Prediction and Association-finding). At the data preprocessing step, we handled the missing value issue with predicted accuracy of 0.760. We curated 12,635 clinotype-gene associations. We found 147 Associations between 147 chronic diseases-phenotype and clinotypes, which improved the disease predictive performance to AUC (average) of 0.967. We mined 182 significant clinotype-clinotype associations among 69 clinotypes.

CONCLUSIONS

Our results showed strong potential connectivity between the omics information and the clinical lab test information. The results further emphasized the needs to utilize and integrate the clinical information, especially the lab test results, in future PheWas and omic studies. Furthermore, it showed that the clinotype information could initiate an alternative research direction and serve as an independent field of data to support the well-known 'phenome' and 'genome' researches.

Antibiotic prescribing in relation to diagnoses and consultation rates in Belgium, the Netherlands and Sweden: use of European quality indicators

OBJECTIVE

To assess the quality of antibiotic prescribing in primary care in Belgium, the Netherlands and Sweden using European disease-specific antibiotic prescribing quality indicators (APQI) and taking into account the threshold to consult and national guidelines.

DESIGN

A retrospective observational database study.

SETTING

Routine primary health care registration networks in Belgium, the Netherlands and Sweden.

SUBJECTS

All consultations for one of seven acute infections [upper respiratory tract infection (URTI), sinusitis, tonsillitis, otitis media, bronchitis, pneumonia and cystitis] and the antibiotic prescriptions in 2012 corresponding to these diagnoses.

MAIN OUTCOME MEASURES

Consultation incidences for these diagnoses and APQI values (a) the percentages of patients receiving an antibiotic per diagnosis, (b) the percentages prescribed first-choice antibiotics and (c) the percentages prescribed quinolones.

RESULTS

The consultation incidence for respiratory tract infection was much higher in Belgium than in the Netherlands and Sweden. Most of the prescribing percentage indicators (a) were outside the recommended ranges, with Belgium deviating the most for URTI and bronchitis, Sweden for tonsillitis and the Netherlands for cystitis. The Netherlands and Sweden prescribed the recommended antibiotics (b) to a higher degree and the prescribing of quinolones exceeded the proposed range for most diagnoses (c) in Belgium. The interpretation of APQI was found to be dependent on the consultation incidences. High consultation incidences were associated with high antibiotic prescription rates. Taking into account the recommended treatments from national guidelines improved the results of the APQI values for sinusitis in the Netherlands and cystitis in Sweden.

CONCLUSION

Quality assessment using European disease-specific APQI was feasible and their inter-country comparison can identify opportunities for quality improvement. Their interpretation, however, should take consultation incidences and national guidelines into account. Differences in registration quality might limit the comparison of diagnosis-linked data between countries, especially for conditions such as cystitis where patients do not always see a clinician before treatment. Key points The large variation in antibiotic use between European countries points towards quality differences in prescribing in primary care.  • The European disease-specific antibiotic prescribing quality indicators (APQI) provide insight into antibiotic prescribing, but need further development, taking into account consultation incidences and country-specific guidelines.  • The incidence of consultations for respiratory tract infections was almost twice as high in Belgium compared to the Netherlands and Sweden.  • Comparison between countries of diagnosis-linked data were complicated by differences in data collection, especially for urinary tract infections.

Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) sentinel network: a cohort profile

PURPOSE

The Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) is one of the longest established primary care sentinel networks. In 2015, it established a new data and analysis hub at the University of Surrey. This paper evaluates the representativeness of the RCGP RSC network against the English population.

PARTICIPANTS AND METHOD

The cohort includes 1 042 063 patients registered in 107 participating general practitioner (GP) practices. We compared the RCGP RSC data with English national data in the following areas: demographics; geographical distribution; chronic disease prevalence, management and completeness of data recording; and prescribing and vaccine uptake. We also assessed practices within the network participating in a national swabbing programme.

FINDINGS TO DATE

We found a small over-representation of people in the 25-44 age band, under-representation of white ethnicity, and of less deprived people. Geographical focus is in London, with less practices in the southwest and east of England. We found differences in the prevalence of diabetes (national: 6.4%, RCPG RSC: 5.8%), learning disabilities (national: 0.44%, RCPG RSC: 0.40%), obesity (national: 9.2%, RCPG RSC: 8.0%), pulmonary disease (national: 1.8%, RCPG RSC: 1.6%), and cardiovascular diseases (national: 1.1%, RCPG RSC: 1.2%). Data completeness in risk factors for diabetic population is high (77-99%). We found differences in prescribing rates and costs for infections (national: 5.58%, RCPG RSC: 7.12%), and for nutrition and blood conditions (national: 6.26%, RCPG RSC: 4.50%). Differences in vaccine uptake were seen in patients aged 2 years (national: 38.5%, RCPG RSC: 32.8%). Owing to large numbers, most differences were significant (p<0.00015).

FUTURE PLANS

The RCGP RSC is a representative network, having only small differences with the national population, which have now been quantified and can be assessed for clinical relevance for specific studies. This network is a rich source for research into routine practice.

Development and initial validation of prescribing quality indicators for patients with chronic kidney disease

BACKGROUND

Quality assessment is a key element for improving the quality of care. Currently, a comprehensive indicator set for measuring the quality of medication treatment in patients with chronic kidney disease (CKD) is lacking. Our aim was to develop and validate a set of prescribing quality indicators (PQIs) for CKD care, and to test the feasibility of applying this set in practice.

METHODS

Potential indicators were based on clinical practice guidelines and evaluated using the RAND/UCLA Appropriateness Method. This is a structured process in which an expert panel assesses the validity of the indicators. Feasibility was tested in a Dutch primary care database including >4500 diabetes patients with CKD.

RESULTS

An initial list of 22 PQIs was assessed by 12 experts. After changing 10 PQIs, adding 2 and rejecting 8, a final list of 16 indicators was accepted by the expert panel as valid. These PQIs focused on the treatment of hypertension, albuminuria, mineral and bone disorder, statin prescribing and possible unsafe medication. The indicators were successfully applied to measure treatment quality in the primary care database, but for some indicators the number of eligible patients was too small for reliable calculation. Results showed that there was room for improvement in the treatment quality of this population.

CONCLUSIONS

We developed a set of 16 PQIs for measuring the quality of treatment in CKD patients, which had sufficient content and face validity as well as operational feasibility. These PQIs can be used to point out priority areas for improvement.

Measuring Diabetes Care Performance Using Electronic Health Record Data: The Impact of Diabetes Definitions on Performance Measure Outcomes

The objective was to examine the use of electronic health record (EHR) data for diabetes performance measurement. Data were extracted from the EHR of a health system to identify patients with diabetes using 8 different EHR data-based methods of identification. These EHR-based methods were compared to the gold standard of a manual medical record review. The study team then assessed whether the method of identifying patients with diabetes could affect performance measurement scores. The sensitivity of the 8 EHR-based methods of identifying patients with diabetes ranged from moderate to high. The use of certain data elements in the EHR to identify patients with diabetes selectively identified those who had better performance measures. Diabetes performance measures are influenced by the data elements used to identify patients. As EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.

Quality of antibiotic prescription during office hours and out-of-hours in Flemish primary care, using European quality indicators

BACKGROUND

European disease-specific antibiotic prescribing quality indicators (APQI) were proposed for seven acute indications (bronchitis, upper respiratory infection, cystitis, tonsillitis, sinusitis, otitis media and pneumonia): (a) the percentage of patients prescribed an antibiotic; (b) the percentage of patients receiving the guideline recommended antibiotic; (c) the percentage of patients receiving quinolones.

OBJECTIVES

To assess the feasibility of calculating values for these 21 APQI using primary care databases; and to assess the quality of antibiotic prescribing in office hours and out-of-hours general practice.

METHODS

Data was extracted from a morbidity registration network ( http://www.intego.be ) and the out-of-hours service centre in Flanders. Within both databases diagnoses are labelled using the revised second edition of International Classification of Primary Care (ICPC-2-R) and antibiotic prescriptions using Anatomical Therapeutic Chemical (ATC) classification.

RESULTS

Both databases allow calculation of APQI values and results are similar. Only for cystitis was the percentage of patients prescribed an antibiotic within the proposed acceptable range. For all indications, the percentage of recommended antibiotics was below the proposed acceptable range (80-100%). The percentage of quinolones was within the proposed acceptable range (0-5%) for otitis media, upper respiratory infection and tonsillitis.

CONCLUSION

Primary care databases can produce APQI values. These values revealed huge opportunities to improve the quality of antibiotic prescribing in office hours and out-of-hours Flemish general practice, especially the prescription of recommended antibiotics.

Evaluating an implementation strategy in cardiovascular prevention to improve prescribing of statins in Germany: an intention to treat analysis

BACKGROUND

The prescription of statins is an evidence-based treatment to reduce the risk of cardiovascular events in patients with elevated cardiovascular risk or with a cardiovascular disorder (CVD). In spite of this, many of these patients do not receive statins.

METHODS

We evaluated the impact of a brief educational intervention in cardiovascular prevention in primary care physicians' prescribing behaviour regarding statins beyond their participation in a randomised controlled trial (RCT). For this, prescribing data of all patients > 35 years who were counselled before and after the study period were analysed (each n > 75,000). Outcome measure was prescription of Hydroxymethylglutaryl-CoA Reductase Inhibitors (statins) corresponding to patients' overall risk for CVD. Appropriateness of prescribing was examined according to different risk groups based on the Anatomical Therapeutic Chemical Classification System (ATC codes).

RESULTS

There was no consistent association between group allocation and statin prescription controlling for risk status in each risk group before and after study participation. However, we found a change to more significant drug configurations predicting the prescription of statins in the intervention group, which can be regarded as a small intervention effect.

CONCLUSION

Our results suggest that an active implementation of a brief evidence-based educational intervention does not lead to prescription modifications in everyday practice. Physician's prescribing behaviour is affected by an established health care system, which is not easy to change.

TRIAL REGISTRATION

ISRCTN71348772.

Survey of Australian practitioners' provision of healthy lifestyle advice to clients who are obese

Obesity is a global issue, with healthcare practitioners increasingly involved in clinical interactions with people who are overweight or obese. These interactions are opportunities to provide evidence-based healthy lifestyle advice, and impact on public health. This study used a cross-sectional survey of Australian healthcare practitioners to investigate what influenced the provision of healthy lifestyle advice to obese and overweight clients. A modified theory of planned behavior was used to explore knowledge translation processes. Knowledge translation was linked to three factors: (i) a healthcare practitioner's education and confidence in the currency of their knowledge; (ii) personal characteristics - whether they accepted that providing this advice was within their domain of practice; and (iii) the existence of organizational support structures, such as access to education, and best practice guidelines. To fulfill the potential role healthcare practitioners can play in the provision of evidence-based health promotion advice requires organizations to provide access to practice guidelines and to instill a belief in their workforce that this is a shared professional domain.

Association between prescribing patterns of anti-asthmatic drugs and clinically uncontrolled asthma: a cross-sectional study

OBJECTIVE

Studies based on prescription data have shown that many asthmatics tend to use large quantities of inhaled beta-2-agonists, suggesting poorly controlled disease. The aim of the present study was to investigate the association between clinically uncontrolled asthma and prescribing patterns of anti-asthmatic drugs with a primary focus on short-acting beta-2-agonists (SABA).

METHODS

In a cross-sectional study 357 subjects, selected by their prescriptions of inhaled beta-2-agonists in Odense Pharmaco-Epidemiological Database, underwent individual clinical assessment including the Asthma Control Questionnaire (ACQ) and spirometry. The associations between uncontrolled asthma (ACQ score ≥ 1.50) and individual anti-asthmatic prescribing were analysed by means of logistic regression.

RESULTS

Clinically uncontrolled asthma was positively associated with SABA use, the association becoming stronger with higher annual quantity of SABA use, odds ratio (OR) 11.1 (95% CI 4.4-28.0) for ≥400 DDD/year. This trend persisted after stratifying for gender, age, and controller treatment. Although subjects using ≥450 DDD/year were all uncontrolled, there was substantial overlap in SABA use between controlled and uncontrolled subjects below this limit. We found no effect modification by age and gender. Use of inhaled corticosteroids protected against uncontrolled asthma, OR 0.51 (95% CI 0.27-0.95).

CONCLUSION

Asthmatics with a high use of SABA frequently have problems with uncontrolled asthma, and users of ICS are protected against uncontrolled asthma. The associations we found were, however, to weak too allow firm conclusions about asthma control for most individual asthma patients.