Optimising laboratory monitoring of chronic conditions in primary care: a quality improvement framework

The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review

BACKGROUND

In recent years, eHealth has received much attention as an opportunity to increase efficiency within healthcare organizations. Adoption of eHealth might consequently help to solve perceived health workforce challenges, including labor shortages and increasing workloads among primary care professionals, who serve as the first point of contact for healthcare in many countries. The purpose of this systematic review was to investigate the impact of general eHealth use and specific eHealth services use on general practice workload in the pre-COVID-19 era.

METHODS

The databases of CINAHL, Cochrane, Embase, IEEE Xplore, Medline ALL, PsycINFO, Web of Science, and Google Scholar were searched, using combinations of keywords including 'eHealth', 'workload', and 'general practice'. Data extraction and quality assessment of the included studies were independently performed by at least two reviewers. Publications were included for the period 2010 - 2020, before the start of the COVID-19 pandemic.

RESULTS

In total, 208 studies describing the impact of eHealth services use on general practice workload were identified. We found that two eHealth services were mainly investigated within this context, namely electronic health records and digital communication services, and that the largest share of the included studies used a qualitative study design. Overall, a small majority of the studies found that eHealth led to an increase in general practice workload. However, results differed between the various types of eHealth services, as a large share of the studies also reported a reduction or no change in workload.

CONCLUSIONS

The impact of eHealth services use on general practice workload is ambiguous. While a small majority of the effects indicated that eHealth increased workload in general practice, a large share of the effects also showed that eHealth use reduced workload or had no impact. These results do not imply a definitive conclusion, which underscores the need for further explanatory research. Various factors, including the study setting, system design, and the phase of implementation, may influence this impact and should be taken into account when general practices adopt new eHealth services.

STUDY REGISTRATION NUMBER

PROSPERO (International Prospective Register of Systematic Reviews) CRD42020199897; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=199897 .

Prediction interval: A powerful statistical tool for monitoring patients and analytical systems

Monitoring is indispensable for assessing disease prognosis and evaluating the effectiveness of treatment strategies, both of which rely on serial measurements of patients' data. It also plays a critical role in maintaining the stability of analytical systems, which is achieved through serial measurements of quality control samples. Accurate monitoring can be achieved through data collection, following a strict preanalytical and analytical protocol, and the application of a suitable statistical method. In a stable process, future observations can be predicted based on historical data collected during periods when the process was deemed reliable. This can be evaluated using the statistical prediction interval. Statistically, prediction interval gives an "interval" based on historical data where future measurement results can be located with a specified probability such as 95%. Prediction interval consists of two primary components: (i) the set point and (ii) the total variation around the set point which determines the upper and lower limits of the interval. Both can be calculated using the repeated measurement results obtained from the process during its steady-state. In this paper, (i) the theoretical bases of prediction intervals were outlined, and (ii) its practical application was explained through examples, aiming to facilitate the implementation of prediction intervals in laboratory medicine routine practice, as a robust tool for monitoring patients' data and analytical systems.

Peripheral artery disease (PAD) in primary care-educational experiences for PAD primary care in England-a mixed-method study

BACKGROUND

Peripheral artery disease (PAD), the pathophysiologic narrowing of arterial blood vessels of the lower leg due to atherosclerosis, is a highly prevalent disease, with sharp increases in prevalence with age. Primary care is ideally located to identify and manage PAD.

OBJECTIVES

This study aims to identify the educational experiences, opinions, and confidence of primary care clinicians (PCCs) regarding PAD.

METHOD

This mixed-method study was conducted within primary care in England. An online survey was completed with follow-on semistructured interviews, between January and September 2021, with PCCs, namely GPs, practice nurses, and allied professionals (survey n = 874, interviews n = 50).

RESULTS

PCCs report variation in PAD education received, where the content could not often be recalled. Patient-focussed experiential and self-directed learning, formed the largest method to gain PAD education. All PCCs recognized that they have an important role in recognizing PAD yet confidence in recognizing and diagnosing PAD was lacking. PCCs acknowledged that late or missed PAD diagnosis resulted in significant patient morbidity and mortality. Yet many did not recognize PAD as a common disease.

CONCLUSION

As "specialist-generalists" with finite resources, education provided to primary care needs to be applicable for the multimorbid patient presentations often seen, utilizing resources available in primary care, with consideration to the time constraints endured.

Variation in laboratory testing for patients with long-term conditions: a longitudinal cohort study in UK primary care

BACKGROUND

Use of laboratory testing has increased in the UK over the past few decades, with considerable geographical variation.

AIM

To evaluate what laboratory tests are used to monitor people with hypertension, type 2 (T2) diabetes, or chronic kidney disease (CKD) and assess variation in test use in UK primary care.

DESIGN & SETTING

Longitudinal cohort study of people registered with UK general practices between June 2013 and May 2018 and previously diagnosed with hypertension, T2 diabetes, or CKD.

METHOD

Clinical Practice Research Datalink (CPRD) primary care data linked to ethnic group and deprivation was used to examine testing rates over time, by GP practice, age, sex, ethnic group, and socioeconomic deprivation, with age-sex standardisation.

RESULTS

Nearly 1 million patients were included, and more than 27 million tests. The most ordered tests were for renal function (1463 per 1000 person-years), liver function (1063 per 1000 person-years), and full blood count (FBC; 996 per 1000 person-years). There was evidence of undertesting (compared with current guidelines) for HbA1c and albumin:creatinine ratio (ACR) or microalbumin, and potential overtesting of lipids, FBC, liver function, and thyroid function. Some GP practices had up to 27 times higher testing rates than others (HbA1c testing among patients with CKD).

CONCLUSION

Testing rates are no longer increasing, but they are not always within the guidelines for monitoring long-term conditions (LTCs). There was considerable variation by GP practice, indicating uncertainty over the most appropriate testing frequencies for different conditions. Standardising the monitoring of LTCs based on the latest evidence would provide greater consistency of access to monitoring tests.

'Diagnostic downshift': clinical and system consequences of extrapolating secondary care testing tactics to primary care

Numerous drivers push specialist diagnostic approaches down to primary care ('diagnostic downshift'), intuitively welcomed by clinicians and patients. However, primary care's different population and processes result in under-recognised, unintended consequences. Testing performs poorer in primary care, with indication creep due to earlier, more undifferentiated presentation and reduced accuracy due to spectrum bias and the 'false-positive paradox'. In low-prevalence settings, tests without near-100% specificity have their useful yield eclipsed by greater incidental or false-positive findings. Ensuing cascades and multiplier effects can generate clinician workload, patient anxiety, further low-value tests, referrals, treatments and a potentially nocebic population 'disease' burden of unclear benefit. Increased diagnostics earlier in pathways can burden patients and stretch general practice (GP) workloads, inducing downstream service utilisation and unintended 'market failure' effects. Evidence is tenuous for reducing secondary care referrals, providing patient reassurance or meaningfully improving clinical outcomes. Subsequently, inflated investment in per capita testing, at a lower level in a healthcare system, may deliver diminishing or even negative economic returns. Test cost poorly represents 'value', neglecting under-recognised downstream consequences, which must be balanced against therapeutic yield. With lower positive predictive values, more tests are required per true diagnosis and cost-effectiveness is rarely robust. With fixed secondary care capacity, novel primary care testing is an added cost pressure, rarely reducing hospital activity. GP testing strategies require real-world evaluation, in primary care populations, of all downstream consequences. Test formularies should be scrutinised in view of the setting of care, with interventions to focus rational testing towards those with higher pretest probabilities, while improving interpretation and communication of results.

Downstream activities after laboratory testing in primary care: an exploratory outcome of the ELMO cluster randomised trial (Electronic Laboratory Medicine Ordering with evidence-based order sets in primary care)

OBJECTIVE

To estimate the rate and type of downstream activities (DAs) after laboratory testing in primary care, with a specific focus on check-up laboratory panels, and to explore the effect of a clinical decision support system (CDSS) for laboratory ordering on these DAs.

DESIGN

Cluster randomised clinical trial.

SETTING

72 primary care practices in Belgium, with 272 general practitioners (GPs), randomly assigned to the intervention arm or the control arm.

PARTICIPANTS

The study included 10 270 lab panels from 9683 primary care patients (women 55.1%, mean age 56.5). All adult patients who consulted one of the participating GPs during the trial period and needed a laboratory exam were eligible for participation.

INTERVENTIONS

GPs in the intervention group used a CDSS integrated into their online laboratory ordering system, while GPs in the control arm used their lab ordering system as usual. The trial duration was 6 months, with another 6 months follow-up.

MAIN OUTCOME MEASURES

This publication reports on the exploratory outcome of DAs after an initial laboratory exam and the effect of the CDSS on these DAs.

RESULTS

19.7% of all laboratory panels resulted in further diagnostic procedures (95% CI 18.9% to 20.5%) and 19% (95% CI 18.2% to 19.7%) in treatment changes. Check-up laboratory exams showed similar rates of DAs, with 17.5% (95% CI 13.8% to 21.2%) diagnostic DAs and 18.9% (95% CI 13.9% to 23.9%) treatment changes. Using the CDSS resulted in a significant reduction in downstream referrals (-2.4%; 95% CI -4.2% to -0.6%; p=0008), imaging and endoscopies (-0.9%; 95% CI -1.6% to -0.1%; p=0026) and treatment changes (-5.4%; 95% CI -9.5% to -1.2%; p=0.01).

CONCLUSION

This is the largest study so far to examine DAs after laboratory testing. It shows that almost one in three laboratory exams leads to further DAs, even in check-up panels. Using a CDSS for laboratory orders may reduce the rate of some DAs.

TRIAL REGISTRATION NUMBER

NCT02950142.

Sustainability in Healthcare: Perspectives and Reflections Regarding Laboratory Medicine

Healthcare structures serve to protect and improve public health; however, they can have negative effects on human well-being and the environment. Thus, sustainability is an important target in a rapidly changing healthcare environment. We analyzed the state of the art in research on healthcare and sustainability by exploring literature on different healthcare systems and their relations with the environment. Our review presents conceptual and practical developments regarding sustainability, as well as an overview of their evolution in the healthcare sector over time. We also discuss how sustainability could be applied to reduce the environmental impact of clinical laboratories by ensuring that resources are used efficiently and responsibly. Finally, we describe how laboratory medicine can contribute to a sustainable healthcare system through integration of innovation and emerging technologies while providing high-quality services to patients and caregivers.

Laboratory Demand Management Strategies-An Overview

Inappropriate laboratory test selection in the form of overutilization as well as underutilization frequently occurs despite available guidelines. There is broad approval among laboratory specialists as well as clinicians that demand management strategies are useful tools to avoid this issue. Most of these tools are based on automated algorithms or other types of machine learning. This review summarizes the available demand management strategies that may be adopted to local settings. We believe that artificial intelligence may help to further improve these available tools.

Experiences of patients with chronic diseases of access to multidisciplinary care during COVID-19 in South Australia

Objective This study investigated the experience of patients with chronic diseases regarding access to and utilisation of multidisciplinary care during COVID-19 in South Australia. Methods Telephone interviews were conducted with 30 patients with chronic conditions attending nine general practices in metropolitan Adelaide. Supplementary data were obtained from the Medicare Benefit Schedule (MBS) to compare health services activity data provided by different health professionals before and after COVID-19 (from January 2019 to June 2020). Results There was variation in access to different health services by patients with chronic conditions during COVID-19. The introduction of telehealth facilitated continuity of general practitioner (GP) services, with a high level of satisfaction among patients. Changes in medicines regulation, including the home delivery of medications, enabled timely access to medications for patients. The use of telehealth was less common for specialist and particularly allied health services. Dental check-ups that are important for the management of some chronic conditions were disrupted the most during COVID-19. Conclusion The findings of this study suggest that the policy measures introduced in Australia provided an opportunity to maintain multidisciplinary care for patients with chronic diseases during COVID-19. GPs, as core members of the primary healthcare team, as well as pharmacy and pathology services, were highly accessible. Telehealth was less accessed for chronic care services provided by specialists and allied health professionals. What is known about the topic? Access to multidisciplinary care is critical to ensure continuity and quality of care for patients with chronic health conditions. Evidence suggests disruptions in health services can occur during pandemics. To continue access to routine care, the Australian Government introduced several policy initiatives during COVID-19 to enhance access to multidisciplinary care. What does this paper add? Telehealth policy was particularly effective in facilitating patients' access to general practice services during COVID-19 particularly those services that did not need physical examinations. This policy complemented changes in medicines regulations that enabled timely and convenient access to medications for patients with chronic conditions. Allied health services, as important elements of multidisciplinary care, were more likely to be disrupted during COVID-19. What are the implications for practitioners? Continuation of telehealth services is likely to enhance access to general practice services. The acceptability and use of telehealth for allied health services may require more flexibility, and training for both practitioners and patients.

Overutilization in laboratory medicine: tackling the problem with quality improvement science

Overutilization of tests and treatments is a widespread problem in contemporary heath care, and laboratory medicine is no exception. It is estimated that 10-70% of laboratory tests may be unnecessary, with estimates in the literature varying depending on the situation and the laboratory test. Inappropriate use of laboratory tests can lead to further unnecessary testing, adverse events, inaccurate diagnoses, and inappropriate treatments. Altogether, this increases the risk of harm to a patient, which can be physical, psychological, or financial in nature. Overutilization in healthcare is driven by complex factors including care delivery models, litigious practice environments, and medical and patient culture. Quality improvement (QI) methods can help to tackle overutilization. In this review, we outline the global healthcare problem of laboratory overutilization, particularly in the developed world, and describe how an understanding of and application of quality improvement principles can help to address this challenge.

GP's perspectives on laboratory test use for monitoring long-term conditions: an audit of current testing practice

BACKGROUND

We have shown previously that current recommendations in UK guidelines for monitoring long-term conditions are largely based on expert opinion. Due to a lack of robust evidence on optimal monitoring strategies and testing intervals, the guidelines are unclear and incomplete. This uncertainty may underly variation in testing that has been observed across the UK between GP practices and regions.

METHODS

Our objective was to audit current testing practices of GPs in the UK; in particular, perspectives on laboratory tests for monitoring long-term conditions, the workload, and how confident GPs are in ordering and interpreting these tests. We designed an online survey consisting of multiple-choice and open-ended questions that was promoted on social media and in newsletters targeting GPs practicing in UK. The survey was live between October-November 2019. The results were analysed using a mixed-methods approach.

RESULTS

The survey was completed by 550 GPs, of whom 69% had more than 10 years of experience. The majority spent more than 30 min per day on testing (78%), but only half of the respondents felt confident in dealing with abnormal results (53%). There was a high level of disagreement for whether liver function tests and full blood counts should be done 'routinely', 'sometimes', or 'never' in patients with a certain long-term condition. The free text comments revealed three common themes: (1) pressures that promote over-testing, i.e. guidelines or protocols, workload from secondary care, fear of missing something, patient expectations; (2) negative consequences of over-testing, i.e. increased workload and patient harm; and (3) uncertainties due to lack of evidence and unclear guidelines.

CONCLUSION

These results confirm the variation that has been observed in test ordering data. The results also show that most GPs spent a significant part of their day ordering and interpreting monitoring tests. The lack of confidence in knowing how to act on abnormal test results underlines the urgent need for robust evidence on optimal testing and the development of clear and unambiguous testing recommendations. Uncertainties surrounding optimal testing has resulted in an over-use of tests, which leads to a waste of resources, increased GP workload and potential patient harm.

Inappropriate use of laboratory tests: How availability triggers demand - Examples across Europe

INTRODUCTION

The appropriate use of laboratory diagnostics is increasingly at stake. The aim of this study was to depict some paradigmatic examples of under- and overutilization, as well as possible solutions across Europe.

METHODS

We collected six examples from five European countries where a rise or decline of orders for specific laboratory parameters was observed after organizational changes but without evidence of changes in patient collective characteristics as source of this variation.

RESULTS

The collected examples were the following: 1-Germany) Switch from a Brain-Natriuretic-Peptide assay to NT-pro Brain-Natriuretic-Peptide assay, resulting in a 374% increase in these analytics; 2-Spain) Implementation of a gatekeeping strategy in tumor marker diagnostics, resulting in a 15-61% reduction of these diagnostics; 3-Croatia) Stepwise elimination of creatine-kinase-MB assay from the laboratory portfolio; 4-UK) Removal of γ-glutamyl transferase from a "liver function" profile, resulting in 82% reduction of orders; 5-Austria) Implementation of a new device for rapid Influenza-RNA detection, resulting in a 450% increase of Influenza testing; 6-Spain) Insourcing of 1,25-(OH)₂-Vitamin D measurements, leading to a 378% increase of these analyses.

CONCLUSION

The six paradigmatic examples described in this manuscript show that availability of laboratory resources may considerably catalyze the demand, thus underscoring that inappropriate use of laboratory resources may be commonplace in routine laboratories all across Europe and most probably beyond. They also demonstrate that the application of simple strategies may assist in overcoming this issue. We believe that laboratory specialists need to refocus on the extra-analytical parts of the testing process and engage more in interdisciplinary patient-care.