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Professional, structural and organisational interventions in primary care for reducing medication errors

Background

Medication‐related adverse events in primary care represent an important cause of hospital admissions and mortality. Adverse events could result from people experiencing adverse drug reactions (not usually preventable) or could be due to medication errors (usually preventable).

Objectives

To determine the effectiveness of professional, organisational and structural interventions compared to standard care to reduce preventable medication errors by primary healthcare professionals that lead to hospital admissions, emergency department visits, and mortality in adults.

Search methods

We searched CENTRAL, MEDLINE, Embase, three other databases, and two trial registries on 4 October 2016, together with reference checking, citation searching and contact with study authors to identify additional studies. We also searched several sources of grey literature.

Selection criteria

We included randomised trials in which healthcare professionals provided community‐based medical services. We also included interventions in outpatient clinics attached to a hospital where people are seen by healthcare professionals but are not admitted to hospital. We only included interventions that aimed to reduce medication errors leading to hospital admissions, emergency department visits, or mortality. We included all participants, irrespective of age, who were prescribed medication by a primary healthcare professional.

Data collection and analysis

Three review authors independently extracted data. Each of the outcomes (hospital admissions, emergency department visits, and mortality), are reported in natural units (i.e. number of participants with an event per total number of participants at follow‐up). We presented all outcomes as risk ratios (RRs) with 95% confidence intervals (CIs). We used the GRADE tool to assess the certainty of evidence.

Main results

We included 30 studies (169,969 participants) in the review addressing various interventions to prevent medication errors; four studies addressed professional interventions (8266 participants) and 26 studies described organisational interventions (161,703 participants). We did not find any studies addressing structural interventions. Professional interventions included the use of health information technology to identify people at risk of medication problems, computer‐generated care suggested and actioned by a physician, electronic notification systems about dose changes, drug interventions and follow‐up, and educational interventions on drug use aimed at physicians to improve drug prescriptions. Organisational interventions included medication reviews by pharmacists, nurses or physicians, clinician‐led clinics, and home visits by clinicians.

There is a great deal of diversity in types of professionals involved and where the studies occurred. However, most (61%) of the interventions were conducted by pharmacists or a combination of pharmacists and medical doctors. The studies took place in many different countries; 65% took place in either the USA or the UK. They all ranged from three months to 4.7 years of follow‐up, they all took place in primary care settings such as general practice, outpatients' clinics, patients' homes and aged‐care facilities. The participants in the studies were adults taking medications and the interventions were undertaken by healthcare professionals including pharmacists, nurses or physicians. There was also evidence of potential bias in some studies, with only 18 studies reporting adequate concealment of allocation and only 12 studies reporting appropriate protection from contamination, both of which may have influenced the overall effect estimate and the overall pooled estimate.

Professional interventions

Professional interventions probably make little or no difference to the number of hospital admissions (risk ratio (RR) 1.24, 95% confidence interval (CI) 0.79 to 1.96; 2 studies, 3889 participants; moderate‐certainty evidence). Professional interventions make little or no difference to the number of participants admitted to hospital (adjusted RR 0.99, 95% CI 0.92 to 1.06; 1 study, 3661 participants; high‐certainty evidence). Professional interventions may make little or no difference to the number of emergency department visits (adjusted RR 0.71, 95% CI 0.50 to 1.02; 2 studies, 1067 participants; low‐certainty evidence). Professional interventions probably make little or no difference to mortality in the study population (adjusted RR 0.98, 95% CI 0.82 to 1.17; 1 study, 3538 participants; moderate‐certainty evidence).

Organisational interventions

Overall, it is uncertain whether organisational interventions reduce the number of hospital admissions (adjusted RR 0.85, 95% CI 0.71 to 1.03; 11 studies, 6203 participants; very low‐certainty evidence). Overall, organisational interventions may make little difference to the total number of people admitted to hospital in favour of the intervention group compared with the control group (adjusted RR 0.92, 95% CI 0.86 to 0.99; 13 studies, 152,237 participants; low‐certainty evidence. Overall, it is uncertain whether organisational interventions reduce the number of emergency department visits in favour of the intervention group compared with the control group (adjusted RR 0.75, 95% CI 0.49 to 1.15; 5 studies, 1819 participants; very low‐certainty evidence. Overall, it is uncertain whether organisational interventions reduce mortality in favour of the intervention group (adjusted RR 0.94, 95% CI 0.85 to 1.03; 12 studies, 154,962 participants; very low‐certainty evidence.

Authors' conclusions

Based on moderate‐ and low‐certainty evidence, interventions in primary care for reducing preventable medication errors probably make little or no difference to the number of people admitted to hospital or the number of hospitalisations, emergency department visits, or mortality. The variation in heterogeneity in the pooled estimates means that our results should be treated cautiously as the interventions may not have worked consistently across all studies due to differences in how the interventions were provided, background practice, and culture or delivery of the interventions. Larger studies addressing both professional and organisational interventions are needed before evidence‐based recommendations can be made. We did not identify any structural interventions and only four studies used professional interventions, and so more work needs to be done with these types of interventions. There is a need for high‐quality studies describing the interventions in more detail and testing patient‐related outcomes.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Actions to reduce medication errors in adults in primary care

What is the aim of this review?

The aim of this Cochrane Review was to find out the best way to reduce medication errors by primary healthcare professionals in adult patients that lead to hospital admissions, emergency department visits, and death. We wanted to know whether targeting individual health professionals (e.g. with educational materials and reminders about drug dosage etc.), changing the organisation of primary care (e.g. revising professional roles, such as nurse‐ or pharmacist‐led prescribing etc.), or structural actions, such as organising quality monitoring services can reduce medication errors by primary healthcare professionals. We collected and analysed relevant studies to answer this question and found 30 studies.

Key messages

The 30 studies (169,969 participants) in this Cochrane Review showed that actions aimed at reducing medication errors, such as medication reviews by pharmacists or physicians probably make little or no difference to the number of people admitted to hospital, number of hospital admissions, number of emergency department visits, or death. In general, all the actions described in the review were found to have unclear benefits. We did not find any studies that fitted the criteria of structural actions. The main limitation of this review is the small number of studies addressing each method and the low‐certainty of the evidence.

What was studied in the review?

Prescribing medications is one of the most powerful tools available to general practitioners (GPs) in the prevention and treatment of disease. Medication‐related adverse events could be the result of people either experiencing adverse drug reactions (not usually preventable) or as a result of medication errors (usually preventable). We studied the effectiveness of professional and organisational methods compared to standard care in primary care settings (examples of primary care settings include general practices, community pharmacies, patient homes, community settings, outpatient clinics, and aged‐care facilities) to reduce preventable medication errors that lead to hospital admissions, emergency department visits, and death in adults who are prescribed medication in primary care.

What are the main results of the review?

We included 30 studies in our analysis. We classified 26 studies as organisational and the remaining four as professional actions. We found no structural actions in our search. The studies included in this Cochrane Review showed that based on moderate‐ and low‐certainty evidence, actions in primary care for reducing preventable medication errors probably make little or no difference to the number of people admitted to hospital or the number of hospitalisations, emergency department visits, or death. Most of the studies took place in the UK and the USA; studies undertaken in high‐income countries with disadvantaged populations, and in low‐ and middle‐income countries, were underrepresented. This might affect the generalisation of the results.

Certainty of the evidence

We found the overall certainty of evidence for the professional actions to vary considerably across the reported outcomes: moderate‐certainty for number of hospital admissions, high‐certainty for number of people admitted to hospital, low‐certainty for number of emergency department visits, and moderate‐certainty for deaths. The certainty of evidence for organisational actions was less varied: very low‐certainty for number of hospital admissions, low‐certainty for number of people admitted to hospital, and very low‐certainty for number of emergency department visits and deaths.

More work needs to be done in improving the quality of the studies regarding selection of participants and adequate blinding of participants and study assessors. Participants dropping out of the studies was another concern in the certainty of evidence. Funding of the included studies came from various sources and it is difficult to decide whether the funding affected the results of the studies.

How up‐to‐date is this review?

We searched for studies that had been published up to 4 October 2016.