The digital Balint: using AI in reflective practice.

Reflective practice is fundamental to postgraduate general practitioner (GP) training and ongoing professional development. However, real-world challenges like time constraints and professional isolation often limit meaningful engagement with this critical skill. This article proposes that large language models (LLMs), sophisticated artificial intelligence systems, may have potential for enhancing reflective practice. We present three case studies, in which we explore the ability of LLMs to generate thought-provoking questions, which could prompt GPs to consider new angles, address underlying factors, and bridge the gap between theory and practice. Our findings suggest that LLMs could help reframe experiences and foster deeper self reflection, particularly for isolated practitioners. While ethical concerns regarding privacy, over reliance, and potential biases exist, we consider the possibility of responsibly integrating LLMs into reflective practice. For trainees, AI-generated questions might complement personal reflection under guidance. For GPs working in isolation, LLMs present an opportunity to enhance reflective practice, challenging us to consider a place for this technological innovation without diminishing the human aspects essential to medical practice.

Experience and severity of menopause symptoms and effects on health-seeking behaviours: a cross-sectional online survey of community dwelling adults in the United Kingdom.

BACKGROUND: Almost all women will experience menopause, and the symptoms can have a severely detrimental impact on their quality of life. However, there is limited research exploring health-seeking behaviours and alternative service design or consultation formats. Group consultations have been successfully deployed in perinatal and diabetic care, improving accessibility and outcomes. This cross-sectional online survey was conducted to explore women's personal experiences of menopause, including perspectives on group consultations. METHODS: An online survey investigated the experiences of individuals at all stages of menopause and their receptiveness towards group consultations for menopause. Respondents were categorised by menopause stage according to the STRAW + 10 staging system. Associations between menopause stage, acceptability of group consultations and participant demographics were assessed using logistic regression. RESULTS: Respondents experienced an average of 10.7 menopausal symptoms, but only 47% of respondents felt they had the knowledge and tools to manage their symptoms. Advice on menopause was sought from a healthcare professional (HCP) by 61% of respondents, the largest trigger for this being severity of symptoms and the main barrier for this was the perception that menopause wasn't a valid enough reason to seek help. Of the respondents seeking advice from HCPs, 32% were prescribed transdermal HRT, 29% received oral HRT, 19% were offered antidepressants, 18% received local oestrogen and 6% were prescribed testosterone. Over three quarters (77%) of respondents indicated that they would join a group consultation for menopause and would be comfortable sharing their experiences with others (75%). Logistic regression indicated premenopausal respondents were 2.84 times more likely than postmenopausal women to be interested in a group consultation where they can meet or learn from others' experiences. CONCLUSIONS: This study highlighted a strong willingness of women aged 35-70 to participate in group consultations for menopause, with motivation being strongest amongst premenopausal women. Low awareness of self-management and lifestyle interventions to manage the symptoms of menopause highlight the need for greater outreach, research and interventions to build knowledge and confidence in the general population at scale. Future studies should focus on investigating the effectiveness and economic impact of menopause group consultations and the lived experience of individuals participating in group consultations.

The Impact of Virtual Consultations on the Quality of Primary Care: Systematic Review.

BACKGROUND: The adoption of virtual consultations, catalyzed by the COVID-19 pandemic, has transformed the delivery of primary care services. Owing to their rapid global proliferation, there is a need to comprehensively evaluate the impact of virtual consultations on all aspects of care quality. OBJECTIVE: This study aims to evaluate the impact of virtual consultations on the quality of primary care. METHODS: A total of 6 databases were searched. Studies that evaluated the impact of virtual consultations, for any disease, were included. Title and abstract screening and full-text screening were performed by 2 pairs of investigators. Risk of bias was assessed using the Mixed Methods Appraisal Tool. A narrative synthesis of the results was performed. RESULTS: In total, 30 studies (5,469,333 participants) were included in this review. Our findings suggest that virtual consultations are equally effective to or more effective than face-to-face care for the management of certain conditions, including mental illness, excessive smoking, and alcohol consumption. Overall, 4 studies indicated positive impacts on some aspects of patient-centeredness; however, a negative impact was noted on patients' perceived autonomy support (ie, the degree to which people perceive those in positions of authority to be autonomy supportive). Virtual consultations may reduce waiting times, lower patient costs, and reduce rates of follow-up in secondary and tertiary care settings. Evidence for the impact on clinical safety is extremely limited. Evidence regarding equity was considerably mixed. Overall, it appears that virtual care is more likely to be used by younger, female patients, with disparities among other subgroups depending on contextual factors. CONCLUSIONS: Our systematic review demonstrated that virtual consultations may be as effective as face-to-face care and have a potentially positive impact on the efficiency and timeliness of care; however, there is a considerable lack of evidence on the impacts on patient safety, equity, and patient-centeredness, highlighting areas where future research efforts should be devoted. Capitalizing on real-world data, as well as clinical trials, is crucial to ensure that the use of virtual consultations is tailored according to patient needs and is inclusive of the intended end users. Data collection methods that are bespoke to the primary care context and account for patient characteristics are necessary to generate a stronger evidence base to inform future virtual care policies.

Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.

BACKGROUND: In the context of a deepening global shortage of health workers and, in particular, the COVID-19 pandemic, there is growing international interest in, and use of, online symptom checkers (OSCs). However, the evidence surrounding the triage and diagnostic accuracy of these tools remains inconclusive. OBJECTIVE: This systematic review aimed to summarize the existing peer-reviewed literature evaluating the triage accuracy (directing users to appropriate services based on their presenting symptoms) and diagnostic accuracy of OSCs aimed at lay users for general health concerns. METHODS: Searches were conducted in MEDLINE, Embase, CINAHL, Health Management Information Consortium (HMIC), and Web of Science, as well as the citations of the studies selected for full-text screening. We included peer-reviewed studies published in English between January 1, 2010, and February 16, 2022, with a controlled and quantitative assessment of either or both triage and diagnostic accuracy of OSCs directed at lay users. We excluded tools supporting health care professionals, as well as disease- or specialty-specific OSCs. Screening and data extraction were carried out independently by 2 reviewers for each study. We performed a descriptive narrative synthesis. RESULTS: A total of 21,296 studies were identified, of which 14 (0.07%) were included. The included studies used clinical vignettes, medical records, or direct input by patients. Of the 14 studies, 6 (43%) reported on triage and diagnostic accuracy, 7 (50%) focused on triage accuracy, and 1 (7%) focused on diagnostic accuracy. These outcomes were assessed based on the diagnostic and triage recommendations attached to the vignette in the case of vignette studies or on those provided by nurses or general practitioners, including through face-to-face and telephone consultations. Both diagnostic accuracy and triage accuracy varied greatly among OSCs. Overall diagnostic accuracy was deemed to be low and was almost always lower than that of the comparator. Similarly, most of the studies (9/13, 69 %) showed suboptimal triage accuracy overall, with a few exceptions (4/13, 31%). The main variables affecting the levels of diagnostic and triage accuracy were the severity and urgency of the condition, the use of artificial intelligence algorithms, and demographic questions. However, the impact of each variable differed across tools and studies, making it difficult to draw any solid conclusions. All included studies had at least one area with unclear risk of bias according to the revised Quality Assessment of Diagnostic Accuracy Studies-2 tool. CONCLUSIONS: Although OSCs have potential to provide accessible and accurate health advice and triage recommendations to users, more research is needed to validate their triage and diagnostic accuracy before widescale adoption in community and health care settings. Future studies should aim to use a common methodology and agreed standard for evaluation to facilitate objective benchmarking and validation. TRIAL REGISTRATION: PROSPERO CRD42020215210; https://tinyurl.com/3949zw83.

Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard.

The use of patient-facing online symptom checkers (OSCs) has expanded in recent years, but their accuracy, safety, and impact on patient behaviors and health care systems remain unclear. The lack of a standardized process of clinical evaluation has resulted in significant variation in approaches to OSC validation and evaluation. The aim of this paper is to characterize a set of congruent requirements for a standardized vignette-based clinical evaluation process of OSCs. Discrepancies in the findings of comparative studies to date suggest that different steps in OSC evaluation methodology can significantly influence outcomes. A standardized process with a clear specification for vignette-based clinical evaluation is urgently needed to guide developers and facilitate the objective comparison of OSCs. We propose 15 recommendation requirements for an OSC evaluation standard. A third-party evaluation process and protocols for prospective real-world evidence studies should also be prioritized to quality assure OSC assessment.

Triage Errors in Primary and Pre-Primary Care.

Triage errors are a major concern in health care due to resulting harmful delays in treatments or inappropriate allocation of resources. With the increasing popularity of digital symptom checkers in pre-primary care settings, and amid claims that artificial intelligence outperforms doctors, the accuracy of triage by digital symptom checkers is ever more scrutinized. This paper examines the context and challenges of triage in primary care, pre-primary care, and emergency care, as well as reviews existing evidence on the prevalence of triage errors in all three settings. Implications for development, research, and practice are highlighted, and recommendations are made on how digital symptom checkers should be best positioned.

Public preferences for delayed or immediate antibiotic prescriptions in UK primary care: A choice experiment.

BACKGROUND: Delayed (or "backup") antibiotic prescription, where the patient is given a prescription but advised to delay initiating antibiotics, has been shown to be effective in reducing antibiotic use in primary care. However, this strategy is not widely used in the United Kingdom. This study aimed to identify factors influencing preferences among the UK public for delayed prescription, and understand their relative importance, to help increase appropriate use of this prescribing option. METHODS AND FINDINGS: We conducted an online choice experiment in 2 UK general population samples: adults and parents of children under 18 years. Respondents were presented with 12 scenarios in which they, or their child, might need antibiotics for a respiratory tract infection (RTI) and asked to choose either an immediate or a delayed prescription. Scenarios were described by 7 attributes. Data were collected between November 2018 and February 2019. Respondent preferences were modelled using mixed-effects logistic regression. The survey was completed by 802 adults and 801 parents (75% of those who opened the survey). The samples reflected the UK population in age, sex, ethnicity, and country of residence. The most important determinant of respondent choice was symptom severity, especially for cough-related symptoms. In the adult sample, the probability of choosing delayed prescription was 0.53 (95% confidence interval (CI) 0.50 to 0.56, p < 0.001) for a chesty cough and runny nose compared to 0.30 (0.28 to 0.33, p < 0.001) for a chesty cough with fever, 0.47 (0.44 to 0.50, p < 0.001) for sore throat with swollen glands, and 0.37 (0.34 to 0.39, p < 0.001) for sore throat, swollen glands, and fever. Respondents were less likely to choose delayed prescription with increasing duration of illness (odds ratio (OR) 0.94 (0.92 to 0.96, p < 0.001)). Probabilities of choosing delayed prescription were similar for parents considering treatment for a child (44% of choices versus 42% for adults, p = 0.04). However, parents differed from the adult sample in showing a more marked reduction in choice of the delayed prescription with increasing duration of illness (OR 0.83 (0.80 to 0.87) versus 0.94 (0.92 to 0.96) for adults, p for heterogeneity p < 0.001) and a smaller effect of disruption of usual activities (OR 0.96 (0.95 to 0.97) versus 0.93 (0.92 to 0.94) for adults, p for heterogeneity p < 0.001). Females were more likely to choose a delayed prescription than males for minor symptoms, particularly minor cough (probability 0.62 (0.58 to 0.66, p < 0.001) for females and 0.45 (0.41 to 0.48, p < 0.001) for males). Older people, those with a good understanding of antibiotics, and those who had not used antibiotics recently showed similar patterns of preferences. Study limitations include its hypothetical nature, which may not reflect real-life behaviour; the absence of a "no prescription" option; and the possibility that study respondents may not represent the views of population groups who are typically underrepresented in online surveys. CONCLUSIONS: This study found that delayed prescription appears to be an acceptable approach to reducing antibiotic consumption. Certain groups appear to be more amenable to delayed prescription, suggesting particular opportunities for increased use of this strategy. Prescribing choices for sore throat may need additional explanation to ensure patient acceptance, and parents in particular may benefit from reassurance about the usual duration of these illnesses.

Psychological Distress Reported by Primary Care Physicians in China During the COVID-19 Pandemic.

OBJECTIVE: Primary care physicians (PCPs) play a key role in responding to the COVID-19 epidemic. The objective of this study was to explore the influencing factors associated with self-reported psychological distress among a sample of PCPs in China in relation to COVID-19. METHODS: An online survey was distributed to a sample of PCPs in Chengdu city between February 10 and February 13, 2020. The survey consisted of three sections: demographic characteristics, COVID-19-related questions, and the General Health Questionnaire-12 (GHQ-12). After 5 months, a follow-up survey investigating the change of the GHQ-12 was conducted. RESULTS: A total of 712 PCPs completed the baseline survey (11.8% of those invited), 55.6% were female and 74.4% were aged between 30 and 49 years. High levels of psychological distress (GHQ-12 ≥3) were observed in 29.2% and were associated with low preparedness, high work impact, working with infected residents, personal life impact, and concerns, as well as older age and being married (p values < .05). Logistic regression analysis showed that psychological distress was associated with low preparedness (odds ratio [OR] = 0.91, 95% confidence interval [CI] = 0.87-0.96), high work impact (OR = 1.11, 95% CI = 1.03-1.20), personal life impact (OR = 1.12, 95% CI = 1.07-1.17), and safety-related concerns (OR = 1.09, 95% CI = 1.02-1.16). At the 5-month assessment point, high psychological distress was less frequent (21.8%). CONCLUSIONS: COVID-19 has resulted in high levels of distress in approximately 30% of PCPs in China. Factors associated with high psychological distress levels include low preparedness and high levels of work impact, personal life impact, and concerns. These findings highlight the importance of enhancing psychological health throughout the course of infectious pandemics.

Impact of Remote Consultations on Antibiotic Prescribing in Primary Health Care: Systematic Review.

BACKGROUND: There has been growing international interest in performing remote consultations in primary care, particularly amidst the current COVID-19 pandemic. Despite this, the evidence surrounding the safety of remote consultations is inconclusive. The appropriateness of antibiotic prescribing in remote consultations is an important aspect of patient safety that needs to be addressed. OBJECTIVE: This study aimed to summarize evidence on the impact of remote consultation in primary care with regard to antibiotic prescribing. METHODS: Searches were conducted in MEDLINE, Embase, HMIC, PsycINFO, and CINAHL for literature published since the databases' inception to February 2020. Peer-reviewed studies conducted in primary health care settings were included. All remote consultation types were considered, and studies were required to report any quantitative measure of antibiotic prescribing to be included in this systematic review. Studies were excluded if there were no comparison groups (face-to-face consultations). RESULTS: In total, 12 studies were identified. Of these, 4 studies reported higher antibiotic-prescribing rates, 5 studies reported lower antibiotic-prescribing rates, and 3 studies reported similar antibiotic-prescribing rates in remote consultations compared with face-to-face consultations. Guideline-concordant prescribing was not significantly different between remote and face-to-face consultations for patients with sinusitis, but conflicting results were found for patients with acute respiratory infections. Mixed evidence was found for follow-up visit rates after remote and face-to-face consultations. CONCLUSIONS: There is insufficient evidence to confidently conclude that remote consulting has a significant impact on antibiotic prescribing in primary care. However, studies indicating higher prescribing rates in remote consultations than in face-to-face consultations are a concern. Further, well-conducted studies are needed to inform safe and appropriate implementation of remote consulting to ensure that there is no unintended impact on antimicrobial resistance.

Frailty and co-morbidity predict first hospitalisation after heart failure diagnosis in primary care: population-based observational study in England.

BACKGROUND: frailty has only recently been recognised as important in patients with heart failure (HF), but little has been done to predict the first hospitalisation after diagnosis in unselected primary care populations. OBJECTIVES: to predict the first unplanned HF or all-cause admission after diagnosis, comparing the effects of co-morbidity and frailty, the latter measured by the recently validated electronic frailty index (eFI). DESIGN: observational study. SETTING: primary care in England. SUBJECTS: all adult patients diagnosed with HF in primary care between 2010 and 2013. METHODS: we used electronic health records of patients registered with primary care practices sending records to the Clinical Practice Research Datalink (CPRD) in England with linkage to national hospital admissions and death data. Competing-risk time-to-event analyses identified predictors of first unplanned hospitalisation for HF or for any condition after diagnosis. RESULTS: of 6,360 patients, 9% had an emergency hospitalisation for their HF, and 39% had one for any cause within a year of diagnosis; 578 (9.1%) died within a year without having any emergency admission. The main predictors of HF admission were older age, elevated serum creatinine and not being on a beta-blocker. The main predictors of all-cause admission were age, co-morbidity, frailty, prior admission, not being on a beta-blocker, low haematocrit and living alone. Frailty effects were largest in patients aged under 85. CONCLUSIONS: this study suggests that frailty has predictive power beyond its co-morbidity components. HF patients in the community should be assessed for frailty, which should be reflected in future HF guidelines.

Telling the truth about antibiotics: benefits, harms and moral duty in prescribing for children in primary care.

Antimicrobial resistance represents a growing threat to global health, yet antibiotics are frequently prescribed in primary care for acute childhood illness, where there is evidence of very limited clinical effectiveness. Moral philosophy supports the need for doctors to consider wider society, including future patients, when treating present individuals, and it is clearly wrong to waste antibiotics in situations where they are largely clinically ineffective at the expense of future generations. Doctors should feel confident in applying principles of antibiotic stewardship when treating children in primary care, but they must explain these to parents. Provision of accurate, accessible information about the benefits and harms of antibiotics is key to an ethical approach to antimicrobial stewardship and to supporting shared decision making. Openness and honesty about drivers for antibiotic requests and prescribing may further allow parents to have their concerns heard and help clinicians to develop with them an understanding of shared goals.

Age-related decline in antibiotic prescribing for uncomplicated respiratory tract infections in primary care in England following the introduction of a national financial incentive (the Quality Premium) for health commissioners to reduce use of antibiotics in the community: an interrupted time series analysis.

Objectives: To assess the impact of the 2015/16 NHS England Quality Premium (which provided a financial incentive for Clinical Commissioning Groups to reduce antibiotic prescribing in primary care) on antibiotic prescribing by General Practitioners (GPs) for respiratory tract infections (RTIs). Methods: Interrupted time series analysis using monthly patient-level consultation and prescribing data obtained from the Clinical Practice Research Datalink (CPRD) between April 2011 and March 2017. The study population comprised patients consulting a GP who were diagnosed with an RTI. We assessed the rate of antibiotic prescribing in patients (both aggregate and stratified by age) with a recorded diagnosis of uncomplicated RTI, before and after the implementation of the Quality Premium. Results: Prescribing rates decreased over the 6 year study period, with evident seasonality. Notably, there was a 3% drop in the rate of antibiotic prescribing (equating to 14.65 prescriptions per 1000 RTI consultations) (P < 0.05) in April 2015, coinciding with the introduction of the Quality Premium. This reduction was sustained, such that after 2 years there was a 3% decrease in prescribing relative to that expected had the pre-intervention trend continued. There was also a concurrent 2% relative reduction in the rate of broad-spectrum antibiotic prescribing. Antibiotic prescribing for RTIs diagnosed in children showed the greatest decline with a 6% relative change 2 years after the intervention. Of the RTI indications studied, the greatest reductions in antibiotic prescribing were seen for patients with sore throats. Conclusions: Community prescribing of antibiotics for RTIs significantly decreased following the introduction of the Quality Premium, with the greatest reduction seen in younger patients.

Predictors of unplanned emergency hospital admissions among patients aged 65+ with multimorbidity and depression in Northwest London during and after the Covid-19 lockdown in England.

INTRODUCTION: Individuals with multimorbidity have an increased likelihood of using unplanned secondary care including emergency department visits and emergency hospitalisations. Those with mental health comorbidities are affected to a greater extent. The Covid-19 pandemic has negatively impacted on psychosocial wellbeing and multimorbidity care, especially among vulnerable older individuals. AIM: To examine the risk of unplanned hospital admissions among patients aged 65+ with multimorbidity and depression in Northwest London, England, during- and post-Covid-19 lockdown. METHODS: Retrospective cross-sectional data analysis with the Discover-NOW database for Northwest London was conducted. The overall sample consisted of 20,165 registered patients aged 65+ with depression. Two time periods were compared to observe the impact of the Covid-19 lockdown on emergency hospital admissions between 23rd March 2020 to 21st June 2021 (period 1) and equivalent-length post-lockdown period from 22nd June 2021 to 19th September 2022 (period 2). Multivariate logistic regression was conducted on having at least one emergency hospital admission in each period against sociodemographic and multimorbidity-related characteristics. RESULTS: The odds of having an emergency hospitalisation were greater in men than women (OR = 1.19 (lockdown); OR = 1.29 (post-lockdown)), and significantly increased with age, higher deprivation, and greater number of comorbidities in both periods across the majority of categories. There was an inconclusive pattern with ethnicity; with a statistically significant protective effect among Asian (OR = 0.66) and Black ethnicities (OR = 0.67) compared to White patients during post-lockdown period only. CONCLUSION: The likelihood of unplanned hospitalisation was higher in men than women, and significantly increased with age, higher deprivation, and comorbidities. Despite modest increases in magnitude of risk between lockdown and post-lockdown periods, there is evidence to support proactive case-review by multi-disciplinary teams to avoid unplanned admissions, particularly men with multimorbidity and comorbid depression, patients with higher number of comorbidities and greater deprivation. Further work is needed to determine admission reasons, multimorbidity patterns, and other clinical and lifestyle predictors.

The effects of community interventions on unplanned healthcare use in patients with multimorbidity: a systematic review.

OBJECTIVES: To summarise the impact of community-based interventions for multimorbid patients on unplanned healthcare use. The prevalence of multimorbidity (co-existence of multiple chronic conditions) is rapidly increasing and affects one-third of the global population. Patients with multimorbidity have complex healthcare needs and greater unplanned healthcare usage. Community-based interventions allow for continued care of patients outside hospitals, but few studies have explored the effects of these interventions on unplanned healthcare usage. DESIGN: A systematic review was conducted. MEDLINE, EMBASE, PsychINFO and Cochrane Library online databases were searched. Studies were screened and underwent risk of bias assessment. Data were synthesised using narrative synthesis. SETTING: Community-based interventions. PARTICIPANTS: Patients with multimorbidity. MAIN OUTCOME MEASURES: Unplanned healthcare usage. RESULTS: Thirteen studies, including a total of 6148 participants, were included. All included studies came from high-income settings and had elderly populations. All studies measured emergency department attendances as their primary outcome. Risk of bias was generally low. Most community interventions were multifaceted with emphasis on education, self-monitoring of symptoms and regular follow-ups. Four studies looked at improved care coordination, advance care planning and palliative care. All 13 studies found a decrease in emergency department visits post-intervention with risk reduction ranging from 0 (95% confidencec interval [CI]: -0.37 to 0.37) to 0.735 (95% CI: 0.688-0.785). CONCLUSIONS: Community-based interventions have potential to reduce emergency department visits in patients with multimorbidity. Identification of specific successful components of interventions was challenging given the overlaps between interventions. Policymakers should recognise the importance of community interventions and aim to integrate aspects of these into existing healthcare structures. Future research should investigate the impact of such interventions with broader participant characteristics.

Efficacy and safety of a digital check-in and triage kiosk in emergency departments: a systematic review protocol.

INTRODUCTION: Increasing demand for healthcare services worldwide has led to unprecedented challenges in managing patient flow and delivering timely care in emergency care settings. Overcrowding, prolonged waiting times, reduced patient satisfaction and increased mortality are some of the consequences of this increased demand. To address this issue, some healthcare providers have turned to digital systems, such as self-check-in kiosks, for efficient patient triage and prioritisation. While digital triage systems hold promise for efficient patient prioritisation, reduced data duplication, shorter waiting times, improved patient satisfaction, the impact on workflow, the accuracy of triage and staff workload require further exploration for successful implementation in emergency care settings. This systematic review aims to assess the efficacy and safety of digital check-in and triage kiosk implementation within emergency departments. METHODS AND ANALYSIS: A systematic review will be conducted in MEDLINE (Ovid), Web of Science, Scopus and Science Direct and will include quantitative and mixed method studies with a significant quantitative component, related to self-service kiosk implementation in emergency departments. The outcomes of interest will focus on the efficacy and safety of digital triage, including triage time, workflow, the diagnostic accuracy of triage and adverse events. Risk of bias will be assessed using the Cochrane Risk of Bias Tool. A narrative synthesis will be used to summarise the findings of the included studies. ETHICS AND DISSEMINATION: This review is exempt from ethical approval because it will be analysing published studies containing non-identifiable data. The findings will be disseminated through peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42024481506.

Interventions to improve medication adherence in adults with mental-physical multimorbidity in primary care: a systematic review.

BACKGROUND: Medication non-adherence is a notable contributor to healthcare inefficiency, resulting in poor medication management, impaired patient outcomes, and ineffective symptom control. AIM: To summarise interventions targeting medication adherence for adults with mental-physical multimorbidity in primary healthcare settings. DESIGN AND SETTING: A systematic review of the literature - published in any language and with any country of origin - was conducted. METHOD: MEDLINE, EMBASE, PsycInfo, Web of Science, Cochrane Library, and the Cumulated Index to Nursing and Allied Health Literature - more commonly known as CINAHL - were searched for relevant studies. Data were extracted and synthesised using narrative synthesis. The Effective Practice and Organisation of Care (EPOC) taxonomy was used to classify intervention types. Risk of bias was assessed using the National Heart, Lung, and Blood Institute's quality assessment tool for controlled intervention studies. RESULTS: Eleven studies, representing 2279 patients, were included. All interventions examined were classified into one EPOC domain, namely 'delivery arrangements'. All included studies examined patients who had a physical condition and depression. Seven studies examining interventions focused on coordination of care and management of care processes reported statistically significant improvements in medication adherence that were attributed to the intervention. Four studies considering the use of information and communication technology observed no changes in medication adherence. CONCLUSION: Interventions that coordinate and manage healthcare processes may help improve patients' adherence to medication regimes in those with mental-physical multimorbidity. However, it is still necessary to better understand how digital health technology can support patients in following their medication regimes. As the growing challenges of treating multimorbidity are faced, everyone involved in health services - from providers to policymakers - must be receptive to a more integrated approach to healthcare delivery.

Structured medication reviews for adults with multimorbidity and polypharmacy in primary care: a systematic review protocol.

INTRODUCTION: Polypharmacy is common among individuals with multimorbidity, often leading to inappropriate medication use and is associated with an increased risk of frailty, hospitalisation and mortality. Structured medication reviews (SMRs) have emerged as a promising method for optimising medication use. However, research examining their efficacy is limited. This review aims to evaluate the impact of SMRs on improving outcomes for adults with multimorbidity and polypharmacy in primary care settings. Additionally, this review seeks to identify prevailing patterns and trends in the mode of delivery of SMRs. METHODS AND ANALYSIS: A systematic review will be conducted using Ovid MEDLINE, Ovid EMBASE, Web of Science and CINAHL (1997-present). Primary outcomes will include medication-related measures such as dose, frequency and dosage form. Secondary outcomes under investigation will include physical, mental, functional and health service outcomes, as reported. Two independent reviewers will conduct the screening and data extraction, resolving disagreements through discussion. Once eligible studies are identified, the extracted data will be summarised in tabular format. The risk of bias in the articles will be assessed using either the Cochrane Risk of Bias 2 tool or the Newcastle-Ottawa scale, depending on the design of the studies retrieved. Subgroup analysis will be performed using demographic variables and modes of delivery where the data supports. If appropriate, a meta-analysis of the data extracted will be conducted to determine the impact of the SMRs on reported outcomes. If a meta-analysis is not possible due to heterogeneity, a narrative synthesis approach will be adopted. ETHICS AND DISSEMINATION: This proposed review is exempt from ethical approval as it aims to collate and summarise peer-reviewed, published evidence. This protocol and the subsequent review will be disseminated in peer-reviewed journals, conferences and patient-led lay summaries. PROSPERO REGISTRATION NUMBER: CRD42023454965.

Economic evaluations of interventional opportunities for the management of mental-physical multimorbidity: a systematic review.

OBJECTIVES: Economic evaluations of interventions for people with mental-physical multimorbidity, including a depressive disorder, are sparse. This study examines whether such interventions in adults are cost-effective. DESIGN: A systematic review. DATA SOURCES: MEDLINE, CINAHL Plus, PsycINFO, Cochrane CENTRAL, Scopus, Web of Science and NHS EED databases were searched until 5 March 2022. ELIGIBILITY CRITERIA: We included studies involving people aged ≥18 with two or more chronic conditions (one being a depressive disorder). Economic evaluation studies that compared costs and outcomes of interventions were included, and those that assessed only costs or effects were excluded. DATA EXTRACTION AND SYNTHESIS: Two authors independently assessed risk of bias in included studies using recommended checklists. A narrative analysis of the characteristics and results by type of intervention and levels of healthcare provision was conducted. RESULTS: A total of 19 studies, all undertaken in high-income countries, met inclusion criteria. Four intervention types were reported: collaborative care, self-management, telephone-based and antidepressant treatment. Most (14 of 19) interventions were implemented at the organisational level and were potentially cost-effective, particularly, the collaborative care for people with depressive disorder and diabetes, comorbid major depression and cancer and depression and multiple long-term conditions. Cost-effectiveness ranged from £206 per quality-adjusted life year (QALY) for collaborative care programmes for older adults with diabetes and depression at primary care clinics (USA) to £79 723 per QALY for combining collaborative care with improved opportunistic screening for adults with depressive disorder and diabetes (England). Conclusions on cost-effectiveness were constrained by methodological aspects of the included studies: choice of perspectives, time horizon and costing methods. CONCLUSIONS: Economic evaluations of interventions to manage multimorbidity with a depressive disorder are non-existent in low-income and middle-income countries. The design and reporting of future economic evaluations must improve to provide robust conclusions. PROSPERO REGISTRATION NUMBER: CRD42022302036.

Risk prediction of mortality for patients with heart failure in England: observational study in primary care.

AIMS: Many risk prediction models have been proposed for heart failure (HF), but few studies have used only information available to general practitioners (GPs) in primary care electronic health records (EHRs). We describe the predictors and performance of models built from GP-based EHRs in two cohorts of patients 10 years apart. METHODS AND RESULTS: Linked primary and secondary care data for incident HF cases in England were extracted from the Clinical Practice Research Datalink for 2001-02 and 2011-12. Time-to-event models for all-cause mortality were developed using a long list of potential baseline predictors. Discrimination and calibration were calculated. A total of 5966 patients in 156 general practices were diagnosed in 2001-02, and 12 827 patients in 331 practices were diagnosed in 2011-12. The 5-year survival rate was 40.0% in 2001-02 and 40.2% in 2011-12, though the latter population were older, frailer, and more comorbid; for 2001-02, the 10-year survival was 20.8% and 15-year survival 11.1%. Consistent predictors included age, male sex, systolic blood pressure, body mass index, GP domiciliary visits before diagnosis, and some comorbidities. Model performance for both time windows was modest (c = 0.70), but calibration was generally excellent in both time periods. CONCLUSIONS: Information routinely available to UK GPs at the time of diagnosis of HF gives only modest predictive accuracy of all-cause mortality, making it hard to decide on the type, place, and urgency of follow-up. More consistent recording of data relevant to HF (such as echocardiography and natriuretic peptide results) in GP EHRs is needed to support accurate prediction of healthcare needs in individuals with HF.

Validating a framework to guide the implementation of high-quality virtual primary care: an international eDelphi study protocol.

BACKGROUND: There is an urgent need to support primary care organisations in implementing safe and high-quality virtual consultations. We have previously performed qualitative research to capture the views of 1600 primary care physicians across 20 countries on the main benefits and challenges of using virtual consultations. Subsequently, a prototype of a framework to guide the implementation of high-quality virtual primary care was developed. AIM: To explore general practitioners' perspectives on the appropriateness and relevance of each component of the framework's prototype, to further refine it and optimise its practical use in primary care facilities. METHODS AND ANALYSIS: Participants will be primary care physicians with active experience providing virtual care, recruited through convenience and snowball sampling. This study will use a systematic and iterative online Delphi research approach (eDelphi), with a minimum of three rounds. A pre-round will be used to circulate items for initial feedback and adjustment. In subsequent rounds, participants will be asked to rate the relevance of the framework's components. Consensus will be defined as >70% of participants agreeing/strongly agreeing or disagreeing/strongly disagreeing with a component. Data will be collected using structured online questionnaires. The primary outcome of the study will be a list of the essential components to be incorporated in the final version of the framework. ETHICS AND DISSEMINATION: The study has received ethical approval conceded by the Imperial College London Science, Engineering and Technology Research Ethics Committee (SETREC) (reference no .6559176/2023). Anonymous results will be made available to the public, academic organisations and policymakers.