Measuring prevalence, reliability and variation in high-risk prescribing in general practice using multilevel modelling of observational data in a population database

Medical student attitudes to patient involvement in healthcare decision-making and research

OBJECTIVE

Patient involvement is used to describe the inclusion of patients as active participants in healthcare decision-making and research. This study aimed to investigate incoming year 1 medical (MBChB) students' attitudes and opinions regarding patient involvement in this context.

METHODS

We established a staff-student partnership to formulate the design of an online research survey, which included Likert scale questions and three short vignette scenarios designed to probe student attitudes towards patient involvement linked to existing legal precedent. Incoming year 1 medical students (n=333) were invited to participate in the survey before formal teaching commenced.

RESULTS

Survey data (49 participants) indicate that students were broadly familiar with, and supportive of, patient involvement in medical treatment. There was least support for patient involvement in conducting (23.9%), contributing to (37.0%) or communicating research (32.6%), whereas there was unanimous support for patients choosing treatment from a selection of options (100%).

CONCLUSION

Incoming members of the medical profession demonstrate awareness of the need to actively involve patients in healthcare decision-making but are unfamiliar with the utility and value of such involvement in research. Further empirical studies are required to examine attitudes to patient involvement in healthcare.

How could online NHS 111 reduce demand for the telephone NHS 111 service? Qualitative study of user and staff views

BACKGROUND

Online NHS111 was introduced in 2018 in response to increasing and unsustainable demand for telephone NHS111. Despite high levels of use, there is little evidence of channel shift from the telephone to the online service. We explored user and staff perspectives of online NHS111 to understand how and why online NHS111 is used and whether there may be potential for shift from the telephone to online service.

METHODS

As part of a wider mixed-methods study, we used qualitative semistructured interviews to explore perspectives of recent users of online 111 who had responded to a user survey (n=32) and NHS 111 staff (n=16) between November 2019 and June 2020. Interviews were recorded and transcribed verbatim. The data sets were analysed separately using framework analysis (user interviews) and thematic analysis (staff interviews).

RESULTS

Telephone NHS111 health adviser skills in probing and obtaining 'soft information' were perceived as key to obtaining advice that was considered more appropriate and trusted than advice from online interactions, which relied on oversimplified or irrelevant questions.Online NHS111 was perceived to provide a useful and convenient adjunct to the telephone service and widened access to NHS111 services for some subgroups of users who would not otherwise access the telephone service (eg, communication barriers, social anxiety) or were concerned about 'bothering' a health professional. The nature of the online consultation meant that online NHS111 was perceived as more disposable and used more speculatively.

CONCLUSION

Online 111 was perceived as a useful adjunct but not a replacement for telephone NHS 111 with potential for channel shift hindered by reduced confidence in the online service due to the lack of human interaction. Further development of OL111 algorithms will be required if it is to meet the needs of people with more complex health needs.

Medicalising diagnoses and treatment preferences: a retrospective cohort study of throat-related consultations in electronic primary care records

BACKGROUND

Rather than first diagnosing and then deciding on treatment, GPs may intuitively decide on treatment and justify this through choice of diagnosis.

AIM

To investigate the relationship between choice of a medicalising diagnosis and antibiotic treatment for throat-related consultations.

DESIGN & SETTING

A retrospective cohort study in a large database of UK electronic primary care records between 1 January 2010 and 1 January 2020.

METHOD

All first throat-related consultations were included, categorised as either pharyngitis/tonsillitis or sore throat. The outcome was any antibiotic prescription on the consultation date. GP-level random effects on prescribing and on diagnosis were estimated in a series of mixed-effects regression models, including age, sex, weekday, month, and clinician characteristics as fixed effects. GPs were grouped into quintiles by antibiotic prescribing propensity, and described the proportion of patients they diagnosed with pharyngitis/tonsillitis or sore throat in each quintile.

RESULTS

The analysis dataset included 393 590 throat-related consultations with 6881 staff. Diagnosis of pharyngitis/tonsillitis was strongly associated with antibiotic prescribing (adjusted odds ratio = 13.41, 95% confidence interval = 12.8 to 14.04). GP random effect accounted for 18% of variation in prescribing and for 26% of variation in diagnosis. GPs in the lowest quintile of antibiotic prescribing propensity diagnosed pharyngitis/tonsillitis on 31% of occasions, compared with 55% in the highest quintile.

CONCLUSION

There is substantial variation among GPs in diagnosis and treatment of throat-related problems. Preference for a medicalising diagnosis is associated with a preference for antibiotics, suggesting a common propensity to both diagnose and treat.

The Prevalence of High-Risk Prescribing of Oral Non-Steroidal Anti-Inflammatory Drugs in Primary Healthcare: A Single-Centre Retrospective Chart Review Study

The quality and safety of prescribed drugs can be assessed using prescribing safety indicators (PSIs). This study aimed to estimate the prevalence of PSIs of oral non-steroidal anti-inflammatory drugs (NSAIDs) at primary care clinics of a tertiary care hospital in Saudi Arabia and to identify the risk factors associated with positive PSIs for patients. In this retrospective chart review study, data from the medical records of 450 patients aged ≥18 years, who were prescribed oral NSAIDs, were reviewed and collected manually. Seven PSIs were chosen and defined as follows: prescription of an oral NSAID to any patient with a peptic ulcer; aged ≥75 years; aged ≥65 years with a glomerular filtration rate <60; heart failure; co-prescribed warfarin; co-prescribed aspirin or clopidogrel; or co-prescribed angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker and a diuretic. Patients with positive indicators are at risk of harm from high-risk prescribing. The overall period prevalence of PSIs is 153/450 (34%; 95% CI 29.60−38.39). The overall proportion of PSIs is 202/431 (46.9%; 95% CI 42.12−51.61). The most common safety indicators were for NSAIDs prescribed to patients with heart failure and patients aged ≥65 years with a glomerular filtration rate <60. The elderly and patients using polypharmacy are at increased risk of having at least one positive PSI (OR 5.22; 95% CI 3.32−8.21, p-value < 0.001 and OR 2.97; 95% CI 1.17−7.55, p-value 0.022, respectively). Patients at risk of harm from high-risk NSAID prescriptions are common in primary care. The elderly and patients on polypharmacy are at increased risk of having at least one positive PSI. Therefore, when NSAIDs are prescribed, it is recommended to weigh the benefits versus the risks for high-risk patients, such as the elderly and those with multiple-drug therapy.

Prescription Rates, Polypharmacy and Prescriber Variability in Swiss General Practice—A Cross-Sectional Database Study

Purpose: The frequency of medication prescribing and polypharmacy has increased in recent years in different settings, including Swiss general practice. We aimed to describe patient age- and sex-specific rates of polypharmacy and of prescriptions of the most frequent medication classes, and to explore practitioner variability in prescribing.

Methods: Retrospective cross-sectional study based on anonymized electronic medical records data of 111 811 adult patients presenting to 116 Swiss general practitioners in 2019. We used mixed-effects regression analyses to assess the association of patient age and sex with polypharmacy (≥5 medications) and with the prescription of specific medication classes (second level of the Anatomical Therapeutic Chemical Classification System). Practitioner variability was quantified in terms of the random effects distributions.

Results: The prevalence of polypharmacy increased with age from 6.4% among patients aged 18–40 years to 19.7% (41–64 years), 45.3% (65–80 years), and 64.6% (81–92 years), and was higher in women than in men, particularly at younger ages. The most frequently prescribed medication classes were antiinflammatory and antirheumatic products (21.6% of patients), agents acting on the renin-angiotensin system (19.9%), analgesics (18.7%), and drugs for acid related disorders (18.3%). Men were more often prescribed agents targeting the cardiovascular system, whereas most other medications were more often prescribed to women. The highest practitioner variabilities were observed for vitamins, for antiinflammatory and antirheumatic products, and for mineral supplements.

Conclusion: Based on practitioner variability, prevalence, and risk potential, antiinflammatory drugs and polypharmacy in older patients appear to be the most pressing issues in current drug prescribing routines.

Implementing prescribing safety indicators in prisons: A mixed methods study

Aims

To examine the prevalence of potentially hazardous prescribing in the prison setting using prescribing safety indicators (PSIs) and explore their implementation and use in practice.

Methods

PSIs were identified and reviewed by the project team following a literature review and a nominal group discussion. Pharmacists at 2 prison sites deployed the PSIs using search protocols within their electronic health record. Prevalence rates and 95% confidence intervals (CIs) were generated for each indicator. Semi‐structured interviews with 20 prison healthcare staff across England and Wales were conducted to explore the feasibility of deploying and using PSIs in prison settings.

Results

Thirteen PSIs were successfully deployed mostly comprising drug–drug interactions (n = 9). Five yielded elevated prevalence rates: use of anticholinergics if aged ≥65 years (Site B: 25.8% [95%CI: 10.4–41.2%]), lack of antipsychotic monitoring for >12 months (Site A: 39.1% [95%CI: 27.1–52.1%]; Site B: 28.6% [95%CI: 17.9–41.4%]), prolonged use of hypnotics (Site B: 46.3% [95%CI: 35.6–57.1%]), antiplatelets prescribed with nonsteroidal anti‐inflammatory drugs without gastrointestinal protection (Site A: 12.5% [95%CI: 0.0–35.4%]; Site B: 16.7% [95%CI: 0.4–64.1%]), and selective serotonin/norepinephrine reuptake inhibitors prescribed with nonsteroidal anti‐inflammatory drugs/antiplatelets without gastrointestinal protection (Site A: 39.6% [95%CI: 31.2–48.4%]; Site B: 33.3% [95%CI: 20.8–47.9%]). Prison healthcare staff supported the use of PSIs and identified key considerations to guide its successful implementation, including staff engagement and PSI 'champions'. To respond to PSI searches, stakeholders suggested contextualised patient support through intraprofessional collaboration.

Conclusion

We successfully implemented a suite of PSIs into 2 prisons, identifying those with higher prevalence values as intervention targets. When appropriately resourced and integrated into staff workflow, PSI searches may support prescribing safety in prisons.

Evaluating the safety of mental health-related prescribing in UK primary care: a cross-sectional study using the Clinical Practice Research Datalink (CPRD)

Background

Most patients with mental illness are managed in primary care, yet there is a lack of data exploring potential prescribing safety issues in this setting for this population.

Objectives

Examine the prevalence of, between-practice variation in, and patient and practice-level risk factors for, 18 mental health-related potentially hazardous prescribing indicators and four inadequate medication monitoring indicators in UK primary care.

Method

Cross-sectional analyses of routinely collected electronic health records from 361 practices contributing to Clinical Practice Research Datalink GOLD database. The proportion of patients ‘at risk’ (based on an existing diagnosis, medication, age and/or sex) triggering each indicator and composite indicator was calculated. To examine between-practice variation, intraclass correlation coefficient (ICC) and median OR (MOR) were estimated using two-level logistic regression models. The relationship between patient and practice characteristics and risk of triggering composites including 16 of the 18 prescribing indicators and four monitoring indicators were assessed using multilevel logistic regression.

Results

9.4% of patients ‘at risk’ (151 469 of 1 611 129) triggered at least one potentially hazardous prescribing indicator; between practices this ranged from 3.2% to 24.1% (ICC 0.03, MOR 1.22). For inadequate monitoring, 90.2% of patients ‘at risk’ (38 671 of 42 879) triggered at least one indicator; between practices this ranged from 33.3% to 100% (ICC 0.26, MOR 2.86). Patients aged 35–44, females and those receiving more than 10 repeat prescriptions were at greatest risk of triggering a prescribing indicator. Patients aged less than 25, females and those with one or no repeat prescription were at greatest risk of triggering a monitoring indicator.

Conclusion

Potentially hazardous prescribing and inadequate medication monitoring commonly affect patients with mental illness in primary care, with marked between-practice variation for some indicators. These findings support health providers to identify improvement targets and inform development of improvement efforts to reduce medication-related harm.

Antibiotic prescribing for common infections in UK general practice: variability and drivers

Objectives

To examine variations across general practices and factors associated with antibiotic prescribing for common infections in UK primary care to identify potential targets for improvement and optimization of prescribing.

Methods

Oral antibiotic prescribing for common infections was analysed using anonymized UK primary care electronic health records between 2000 and 2015 using the Clinical Practice Research Datalink (CPRD). The rate of prescribing for each condition was observed over time and mean change points were compared with national guideline updates. Any correlation between the rate of prescribing for each infectious condition was estimated within a practice. Predictors of prescribing were estimated using logistic regression in a matched patient cohort (1:1 by age, sex and calendar time).

Results

Over 8 million patient records were examined in 587 UK general practices. Practices varied considerably in their propensity to prescribe antibiotics and this variance increased over time. Change points in prescribing did not reflect updates to national guidelines. Prescribing levels within practices were not consistent for different infectious conditions. A history of antibiotic use significantly increased the risk of receiving a subsequent antibiotic (by 22%–48% for patients with three or more antibiotic prescriptions in the past 12 months), as did higher BMI, history of smoking and flu vaccinations. Other drivers for receiving an antibiotic varied considerably for each condition.

Conclusions

Large variability in antibiotic prescribing between practices and within practices was observed. Prescribing guidelines alone do not positively influence a change in prescribing, suggesting more targeted interventions are required to optimize antibiotic prescribing in the UK.

Identifying potential prescribing safety indicators related to mental health disorders and medications: A systematic review

BACKGROUND

Prescribing errors and medication related harm may be common in patients with mental illness. However, there has been limited research focusing on the development and application of prescribing safety indicators (PSIs) for this population.

OBJECTIVE

Identify potential PSIs related to mental health (MH) medications and conditions.

METHODS

Seven electronic databases were searched (from 1990 to February 2019), including the bibliographies of included studies and of relevant review articles. Studies that developed, validated or updated a set of explicit medication-specific indicators or criteria that measured prescribing safety or quality were included, irrespective of whether they contained MH indicators or not. Studies were screened to extract all MH related indicators before two MH clinical pharmacists screened them to select potential PSIs based on established criteria. All indicators were categorised into prescribing problems and medication categories.

RESULTS

79 unique studies were included, 70 of which contained at least one MH related indicator. No studies were identified that focused on development of PSIs for patients with mental illness. A total of 1386 MH indicators were identified (average 20 (SD = 25.1) per study); 245 of these were considered potential PSIs. Among PSIs the most common prescribing problem was 'Potentially inappropriate prescribing considering diagnoses or conditions' (n = 91, 37.1%) and the lowest was 'omission' (n = 5, 2.0%). 'Antidepressant' was the most common PSI medication category (n = 85, 34.7%).

CONCLUSION

This is the first systematic review to identify a comprehensive list of MH related potential PSIs. This list should undergo further validation and could be used as a foundation for the development of new suites of PSIs applicable to patients with mental illness.

Prescriber Variation in Relation to Prescribing Trends within the Preferred Drugs Initiative in Ireland (2012-2015): An Interrupted Time-Series Study Using Latent Curve Models

OBJECTIVES

To examine the impact of the Preferred Drugs Initiative (PDI), an Irish health policy aimed at reducing prescribing variation.

DESIGN

Interrupted time series spanning 2012 to 2015.

SETTING

Health Service Executive pharmacy claims data for General Medical Services (GMS) patients, approximately 40% of the Irish population.

PARTICIPANTS

Prescribers issuing preferred drug group items to GMS adults before and after PDI guidelines.

PRIMARY OUTCOME

The percentage coverage of PDI medications within each drug class per calendar quarter per prescriber.

METHODS

Latent curve models with structured residuals (LCM-SRs) were used to model coverage of the preferred drugs over time. The number of GMS adults receiving medication and the percentage who were 65 years and older at the start of the study were included as covariates.

RESULTS

In the quarter following PDI guidelines, coverage of the preferred drugs increased most in absolute terms for proton pump inhibitors (PPIs) (1.50% [SE 0.15], P < 0.001) and selective and norepinephrine reuptake inhibitors (SNRIs) (1.17% [SE 0.26], P < 0.001). Variation between prescribers remained relatively unchanged and increased for urology medications. Prescribers who increased coverage of the preferred PPI also increased coverage of the preferred statin immediately following guidelines (correlation 0.47 [SE 0.13], P < 0.001). Where guidelines were disseminated simultaneously, coverage of one preferred drug did not significantly predict coverage of the other preferred drug in the next calendar quarter. Prescribing of preferred drugs was not moderated by prescriber-level factors.

CONCLUSIONS

Modest changes in prescribing of the preferred drugs have been observed over the course of the PDI. However, the guidelines have had little impact in reducing variation between prescribers. Further strategies may be necessary to reduce variation in clinical practice and enhance patient care.