High-risk Patients In Primary Care Research Articles

Exploring heart failure prevalence and overlooked dimensions: a comprehensive NT Pro-BNP study in high-risk primary care patients

Abstract Background Heart failure (HF) is a prevalent syndrome linked to significant morbidity and mortality, especially in those with comorbid conditions like diabetes, hypertension, and atherosclerotic cardiovascular disease. Early detection and intervention are crucial. Natriuretic peptides, particularly NT-proBNP, are promising biomarkers for identifying at-risk individuals, but their use in primary care settings is not fully understood. Methods This prospective cohort study enrolled 874 participants aged 40 and above with documented risk factors for HF, such as diabetes mellitus, hypertension, metabolic syndrome, obesity, atherosclerotic cardiovascular disease, genetic variants for cardiomyopathy, or exposure to cardiotoxic agents. NT-proBNP levels were measured in blood samples collected at primary care clinics, and participants underwent comprehensive cardiac evaluations at a referral hospital. Clinical characteristics, laboratory findings, electrocardiography, and echocardiography results were recorded. Results The study included 874 patients with at least one risk factor for HF, with a mean age of 62.5 ± 9.1 years and 51.9% female. According to the 2022 AHA/ACC/HFSA HF Guideline, 69.1% were Stage A HF, 21.9% Stage B HF, and 9% Stage C HF. Clinical characteristics, laboratory and echocardiographic findings are shown in Picture 1. The majority had hypertension (71.1%), while other prevalent comorbidities included diabetes mellitus (43.4%), dyslipidemia (35.2%), obesity (27.1%), and atherosclerotic cardiovascular disease (26.2%). Laboratory findings showed a significant decrease in HbA1C, eGFR, LDL, triglycerides, and hemoglobin from Stage A to C HF. Median NT-proBNP levels rose from Stage A to C HF (46.4 pg/mL in Stage A, 219 pg/mL in Stage B, and 268.5 pg/mL in stage C), with 84.8% of Stage B HF patients exhibiting elevated levels. NT-proBNP levels were correlated positively with left atrial volume index, left ventricular mass index, age, E/e’, and estimated systolic pulmonary artery pressure levels. Conversely, NT-proBNP levels showed a negative correlation with estimated glomerular filtration rate and left ventricular ejection fraction. Among Stage C patients, 92.4% had HFpEF. The Picture 2 depicted the study's design and outcomes, providing a comprehensive visual representation. Conclusion NT-proBNP screening in primary care settings identified a substantial proportion of individuals with undiagnosed HF, particularly those in Stage B and Stage C. The high prevalence of HFpEF underscores the need for comprehensive evaluation and management strategies targeting this population. Early detection facilitated by NT-proBNP screening may lead to timely interventions and improved outcomes in individuals at risk for HF.

Clinical Outcomes Among High-Risk Primary Care Patients With Diabetic Kidney Disease: Methodological Challenges and Results From the STOP-DKD Study.

Slowing the progression of diabetic kidney disease (DKD) is critical. We conducted a randomized controlled trial to target risk factors for DKD progression. We evaluated the effect of a pharmacist-led intervention focused on supporting healthy behaviors, medication management, and self-monitoring on decline in estimated glomerular filtration rate (eGFR) for 36 months compared with an educational control. We randomized 138 individuals to the intervention group and 143 to control. At baseline, mean (SD) eGFR was 80.7 (21.7) mL/min/1.73m 2 , 56% of participants had chronic kidney disease and a history of uncontrolled hypertension with a baseline SBP of 134.3mm Hg. The mean (SD) decline in eGFR by cystatin C from baseline to 36 months was 5.0 (19.6) and 5.9 (18.6) mL/min/1.73m 2 for the control and intervention groups, respectively, with no significant between-group difference ( P =0.75). We did not observe a significant difference in clinical outcomes by study arm. However, we showed that individuals with DKD will engage in a pharmacist-led intervention. The potential explanations for a lack of change in DKD risk factors can be attributed to 5 broad issues, challenges: (1) associated with enrolling patients with low eGFR and poor BP control; (2) implementing the intervention; (3) limited duration during which to observe any clinical benefit from the intervention; (4) potential co-intervention or contamination; and (5) low statistical power.

A Retrospective Analysis of Postpartum Adherence to Follow-up in High-risk Obstetric Patients in Primary Care

Background and Objectives: Texas is a state with a well-documented statistical rate of the nation’s highest maternal mortality rates. Maternal mortality has a multiplicity of risk factors including gestational complications, not limited to diabetes mellitus, hypertension, and preeclampsia. The high-risk obstetrics (HROB) initiative was created at CommuniCare Health Centers in San Antonio, TX, to provide resources to obstetric (OB) patients identified as high risk for perinatal and postpartum complications. The goal of this analysis is to assess the consistency with which HROB patients enrolled present to the first and second OB postpartum follow-up visits and subsequently family medicine follow-up visits. Methods: The patients were enrolled in this initiative based on a criterion for being considered high risk for obstetrical complications including hypertensive disease, preeclampsia, eclampsia, and diabetes mellitus. One hundred ninety-two patient charts were reviewed and 180 were included in this retrospective analysis. Results: A multivariate analysis revealed that an adjusted odds ratio for postpartum follow-up among HROB patients was 1.65 (95% confidence interval = 0.71–3.83). A positive trend was observed for HROB patients’ OB postpartum follow-up visits, whereas a negative trend was observed for family medicine postpartum follow-up visits. Conclusion: Prevention strategies aimed at reducing postpartum loss to follow-up identified in this study could promote better health outcomes among HROB patients in San Antonio, TX.

Protocol for a multicentre and prospective follow-up cohort study of early detection of atrial fibrillation, silent stroke and cognitive impairment in high-risk primary care patients: the PREFA-TE study

BackgroundAtrial fibrillation (AF) is the most common type of cardiac arrhythmia. Future estimations suggest an increase in global burden of AF greater than 60% by 2050. Numerous studies provide growing...

Prevalence of undetected chronic kidney disease in high-risk middle-aged patients in primary care: a cross-sectional study.

The global health burden of chronic kidney disease (CKD) results from both the disease itself and the numerous health problems associated with it. The aim of this study was to estimate the prevalence of previously undetected CKD in middle-aged patients with risk factors for CKD. Identified patients were included in the Styrian nephrology awareness program "kidney.care 2.0" and data on their demographics, risk factors and kidney function were described. Cross-sectional analysis of baseline data derived from the "kidney.care 2.0" study of 40-65 year old patients with at least one risk factor for CKD (hypertension, diabetes, cardiovascular disease, obesity or family history of end-stage kidney disease). Participants were considered to have previously undetected CKD if their estimated glomular filtration rate (eGFR) was less than 60 ml/min/1.73 m2 and/or albumin creatinine ratio (ACR) ≥ 30 mg/g. We calculated the prevalence of previously undetected CKD and performed multivariate analyses. A total of 749 participants were included in this analysis. The prevalence of previously undetected CKD in an at-risk population was estimated at 20.1% (95%CI: 17.1-23.6). Multivariable analysis showed age (OR 1.06, 95%CI: 1.02-1.09), diabetes mellitus (OR 1.65, 95%CI: 1.12-2.30) and obesity (OR: 1.55, 95%CI: 1.04-2.30) to be independent predictors of CKD. The majority of patients with previously undetected CKD had category A2-A3 albuminuria (121 out of 150). Most patients with previously undetected eGFR < 60 ml/min/1.73 m2 were in stage G3 (36 out of 39 patients). Pragmatic, targeted, risk-based screening for CKD in primary care successfully identified a significant number of middle-aged patients with previously undetected CKD and addressed the problem of these patients being overlooked for future optimized care. The intervention may slow progression to kidney failure and prevent related cardiovascular events.

Frontline perspectives on adoption and non-adoption of care management tools for high-risk patients in primary care

BackgroundPopulation health management tools (PHMTs) embedded within electronic health records (EHR) could improve management of high-risk patients and reduce costs associated with potentially avoidable emergency department visits or hospitalizations. Adoption of PHMTs across the Veterans Health Administration (VA) has been variable and previous research suggests that understaffed primary care (PC) teams might not be using the tools. MethodsWe conducted a retrospective content analysis of open-text responses (n = 1804) from the VA’s 2018 national primary care personnel survey to, 1) identify system-level and individual-level factors associated with why clinicians are not using the tools, and 2) to document clinicians’ recommendations to improve tool adoption. ResultsWe found three themes pertaining to low adoption and/or tool use: 1) IT burden and administrative tasks (e.g., manually mailing letters to patients), 2) staffing shortages (e.g., nurses covering multiple teams), and 3) no training or difficulty using the tools (e.g., not knowing how to access the tools or use the data). Frontline clinician recommendations included automating some tasks, reconfiguring team roles to shift administrative work away from providers and nurses, consolidating PHMTs into a centralized, easily accessible repository, and providing training. ConclusionsHealthcare system-level factors (staffing) and individual-level factors (lack of training) can limit adoption of PHMTs that could be useful for reducing costs and improving patient outcomes. Future research, including qualitative interviews with clinicians who use/don’t use the tools, could help develop interventions to address barriers to adoption. ImplicationsShifting more administrative tasks to clerical staff would free up clinician time for population health management but may not be possible for understaffed PC teams. Additionally, healthcare systems may be able to increase PHMT use by making them more easily accessible through the electronic health record and providing training in their use.

Machine Learning Applied to Cholesterol-Lowering Pharmacotherapy: Proof-of-Concept in High-Risk Patients Treated in Primary Care.

Objectives: Machine learning has potential to improve the management of lipid disorders. We explored the utility of machine learning in high-risk patients in primary care receiving cholesterol-lowering medications. Methods: Machine learning algorithms were created based on lipid management guidelines for England [National Institute for Health and Care Excellence (NICE) CG181] to reproduce the guidance with >95% accuracy. Natural language processing and therapy identification algorithms were applied to anonymized electronic records from six South London primary care general practices to extract medication information from free text fields. Results: Among a total of 48,226 adult patients, a subset of 5630 (mean ± standard deviation, age = 67 ± 13 years; male:female = 55:45) with a history of lipid-lowering therapy were identified. Additional major cardiometabolic comorbidities included type 2 diabetes in 13% (n = 724) and hypertension in 32% (n = 1791); all three risk factors were present in a further 28% (n = 1552). Of the 5630 patients, 4290 (76%) and 1349 (24%) were in primary and secondary cardiovascular disease prevention cohorts, respectively. Statin monotherapy was the most common current medication (82%, n = 4632). For patients receiving statin monotherapy, 71% (n = 3269) were on high-intensity therapy aligned with NICE guidance with rates being similar for the primary and secondary prevention cohorts. In the combined cohort, only 46% of patients who had been prescribed lipid-lowering therapy in the previous 12 months achieved the NICE treatment goal of >40% reduction in non-high-density lipoprotein cholesterol from baseline pretreatment levels. Based on the most recent data entry for patients not at goal the neural network recommended either increasing the dose of statin, adding complementary cholesterol-lowering medication, or obtaining an expert lipid opinion. Conclusions: Machine learning can be of value in (a) quantifying suboptimal lipid-lowering prescribing patterns, (b) identifying high-risk patients who could benefit from more intensive therapy, and (c) suggesting evidence-based therapeutic options.

Personalized approach using wearable technology for early detection of atrial fibrillation in high-risk primary care patients (PATCH-AF): Study protocol for a cluster randomized controlled trial

BackgroundAtrial fibrillation (AF) is a common cardiac arrhythmia with a lifetime risk of one in 4. Unfortunately, AF often remains undetected, particularly when it is paroxysmal, for which single time-point evaluation is less effective. Recently, unobtrusive cardiac arrhythmia monitoring devices have become available, providing the opportunity to conduct prolonged electrocardiographic (ECG) monitoring in a patient-friendly manner. We hypothesize that applying these devices in at risk patients may improve AF detection, particularly when used during repeated episodes. We therefore aim to evaluate the diagnostic yield of yearly screening for atrial fibrillation when using a wearable device for continuous ECG monitoring for 7 days in primary care patients ≥ 65 years deemed at high-risk of AF (CHA2DS2VASc score ≥3 for men or ≥4 for women) compared with usual care over a study period of 3 years. MethodsPrimary care based, cluster-randomized controlled trial with 10 general practices randomized to the intervention group and 10 general practices randomized to control group. In each group, we aim to enroll 930 patients, ≥65 years and a CHA2DS2VASc score ≥3 for men or ≥ 4 for women. The intervention consists of continuous ECG monitoring for 7 days at start of the study (t = 0), after one (t = 1) and 2 years (t = 2). The control practices will follow usual diagnostic care procedures. ResultsResults are expected in 2025. ConclusionsThis study differs from previous randomized controlled trials, as it involves longitudinal screening of a risk-stratified population. In case of a beneficial diagnostic yield, the PATCH-AF study will add to the evidence for AF screening. Trial registrationThe PATCH-AF study is registered at The Netherlands Trial Register (NTR number NL9656)

Underuse of cardiorenal protective agents in high-risk diabetes patients in primary care: a cross-sectional study

BackgroundSodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) have shown benefits in patients with diabetes and cardiovascular disease (CVD), heart failure (HF), and chronic kidney disease (CKD).ObjectiveWe assessed benchmark outcomes (Hemoglobin A1c, LDL-C, and blood pressure), identified the prevalence of cardiorenal indications for SGLT2i and GLP-1RA, and compared prescribing rates of GLP1-RA and SGLT2i in those with and without cardiorenal indications.MethodsWe analyzed data from January 2018–June 2019 for 7168 patients with diabetes using electronic medical records from the Northern Alberta Primary Care Research Network, a regional network of the Canadian Primary Sentinel Surveillance Network (CPCSSN). Patients with and without cardiorenal comorbidities were compared using descriptive statistics and two proportion Z tests.ResultsHemoglobin A1c ≤ 7.0% was met by 56.8%, blood pressure < 130/80 mmHg by 62.1%, LDL-C ≤ 2.0 mmol/L by 45.3% of patients. There were 4377 patients on glucose lowering medications; metformin was most common (77.7%), followed by insulin (24.6%), insulin secretagogues (23.6%), SGLT2i (19.7%), dipeptidyl peptidase-4 inhibitor (19.3%), and GLP-1RA (9.4%). A quarter of patients had cardiorenal indications for SGLT2i or GLP-1RA. Use of SGLT2i in these patients was lower than in patients without cardiorenal comorbidities (14.9% vs 21.2%, p < 0.05). GLP-1RA use in these patients was 4.6% compared with 11% in those without cardiorenal comorbidities (p < 0.05).DiscussionContrary to current evidence and recommendations, SGLT2i and GLP1-RA were less likely to be prescribed to patients with pre-existing CVD, HF, and/or CKD, revealing opportunities to improve prescribing for patients with diabetes at high-risk for worsening cardiorenal complications.

Assessing the Adequacy of Obstructive Sleep Apnea Diagnosis for High-Risk Patients in Primary Care.

The exact prevalence of obstructive sleep apnea (OSA) is unknown, and primary care providers are left with conflicting guidance on screening criteria from various institutions. The purpose of this study was to identify health care gaps in OSA diagnosis for patients at high risk of OSA. A retrospective medical record review was performed assessing adult patients (≥ 18 years) who had outpatient visits in family medicine clinics, located in the cities of Detroit, Troy, and Commerce, Michigan in 2018. The primary outcome was the number of patients assessed for OSA. Patients determined as high risk for OSA had at least 3 of the following criteria: (1) hypertension, (2) age 50 years and older, (3) male gender, and (4) body mass index > 35 kg/m2. Statistical approach included univariate and logistic regression analysis. Manual chart review of 200 randomly selected records was performed to determine the most common reasons for OSA screening. Out of 30,022 patients, 4,911 (16.4%) were at high risk for OSA, of which 1,524 (31.0%) were assessed for OSA. Logistic regression analysis of high-risk patients revealed that male sex (odds ratio, 1.84; 95% CI, 1.51-2.26; P < .001) and body mass index > 35 kg/m2 (odds ratio, 4.96; 95% CI, 4.04-6.09; P < .001) were significantly associated with OSA evaluation. Race was not associated with OSA assessment. Because many individuals at high risk for OSA are not referred for evaluation, improved guidance on OSA screening based on objective risk factors is needed.

Race, Income, and Medical Care Spending Patterns in High-Risk Primary Care Patients: Results From the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) Study

Rationale & ObjectiveLittle is known about how socioeconomic status (SES) relates to the prioritization of medical care spending over personal expenditures in individuals with multiple comorbid conditions, and whether this relationship differs between Blacks and non-Blacks. We aimed to explore the relationship between SES, race, and medical spending among individuals with multiple comorbid conditions.Study DesignCross-sectional evaluation of baseline data from a randomized controlled trial.Setting & ParticipantsThe STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) study is a completed randomized controlled trial of Duke University primary care patients with diabetes, hypertension, and chronic kidney disease. Participants underwent survey assessments inclusive of measures of socio-demographics and medication adherence.PredictorsRace (Black or non-Black) and socioeconomic status (income, education, and employment).OutcomesThe primary outcomes were based on 4 questions related to spending, asking about reduced spending on basic/leisure needs or using savings to pay for medical care. Participants were also asked if they skipped medications to make them last longer.Analytical ApproachMultivariable logistic regression stratified by race and adjusted for age, sex, and household chaos was used to determine the independent effects of SES components on spending.ResultsOf 263 STOP-DKD participants, 144 (55%) were Black. Compared with non-Blacks, Black participants had lower incomes with similar levels of education and employment but were more likely to reduce spending on basic needs (29.2% vs 13.5%), leisure activities (35.4% vs 20.2%), and to skip medications (31.3% vs 15.1%), all P < 0.05. After multivariable adjustment, Black race was associated with increased odds of reduced basic spending (OR, 2.29; 95% CI, 1.14-4.60), reduced leisure spending (OR, 1.94; 95% CI, 1.05-3.58), and skipping medications (OR, 2.12; 95% CI, 1.12-4.04).LimitationsThis study was conducted at a single site in Durham, North Carolina, and nearly exclusively included insured patients. Further, the impact of the number of comorbid conditions, medication costs, or copayments was not assessed.ConclusionsIn primary care patients with multiple chronic diseases, Black patients are more likely to reduce spending on basic needs and leisure activities to afford their medical care than non-Black patients of equivalent SES.ClinicalTrials.gov IdentifierNCT01829256

Heath literacy, illness perception and NAFLD/NASH awareness in primary care patients in Crete, Greece

Abstract Background and Aims Patient health literacy (HL), illness perception and awareness are key factors driving health behaviour. This observational study aims to assess the level of HL, illness perception and awareness about non-alcoholic fatty liver disease (NAFLD)/steatohepatitis (NASH) in high-risk primary care (PC) patients in Greece, Spain and the Netherlands. Methods Eligibility criteria included: 1) aged ≥50 years, and 2) obesity, and/or metabolic syndrome, and/or diabetes. Patients consecutively visiting PC practices completed a questionnaire assessing socio-demographic characteristics and health habits. HL, illness perception and NAFLD/NASH awareness were assessed using the European Health Literacy Survey Questionnaire, the Brief Illness Perception Questionnaire and the Public Awareness of NAFLD Questionnaire respectively. Results Data are available at this moment from the Greek setting. Among the Greek participants (N = 141, 53.2% females, mean age 66 years) 66.7% had diabetes, 78% obesity and 71.6% metabolic syndrome, with 22.7% reporting active smoking. Most (71.6%) had heard about NAFLD by their personal physician. Obesity (78%), excess alcohol intake (45.8%), lack of exercise (38.7%) and diabetes (32.4%) were recognized as the commonest determinants of fatty liver disease, while 78% were aware of ultrasound as the main diagnostic modality and 47% did not know whether there is an available treatment. Only 39% of the participants find information of their treatments easily. Conclusions Our preliminary results show that the majority of patients seem to be aware about NAFLD/NASH and their determinants. It's alarming that a lot do not know about treatment, although they are high-risk. Key messages Our preliminary results show that the majority of patients seem to be aware about NAFLD/NASH and their determinants. It’s alarming that a lot of patients do not know about their treatment, although they are high-risk.

Recognition and management of community-acquired acute kidney injury in low-resource settings in the ISN 0by25 trial: A multi-country feasibility study.

BackgroundAcute kidney injury (AKI) is increasingly encountered in community settings and contributes to morbidity, mortality, and increased resource utilization worldwide. In low-resource settings, lack of awareness of and limited access to diagnostic and therapeutic interventions likely influence patient management. We evaluated the feasibility of the use of point-of-care (POC) serum creatinine and urine dipstick testing with an education and training program to optimize the identification and management of AKI in the community in 3 low-resource countries.Methods and findingsPatients presenting to healthcare centers (HCCs) from 1 October 2016 to 29 September 2017 in the cities Cochabamba, Bolivia; Dharan, Nepal; and Blantyre, Malawi, were assessed utilizing a symptom-based risk score to identify patients at moderate to high AKI risk. POC testing for serum creatinine and urine dipstick at enrollment were utilized to classify these patients as having chronic kidney disease (CKD), acute kidney disease (AKD), or no kidney disease (NKD). Patients were followed for a maximum of 6 months with repeat POC testing. AKI development was assessed at 7 days, kidney recovery at 1 month, and progression to CKD and mortality at 3 and 6 months. Following an observation phase to establish baseline data, care providers and physicians in the HCCs were trained with a standardized protocol utilizing POC tests to evaluate and manage patients, guided by physicians in referral hospitals connected via mobile digital technology. We evaluated 3,577 patients, and 2,101 were enrolled: 978 in the observation phase and 1,123 in the intervention phase. Due to the high number of patients attending the centers daily, it was not feasible to screen all patients to assess the actual incidence of AKI. Of enrolled patients, 1,825/2,101 (87%) were adults, 1,117/2,101 (53%) were females, 399/2,101 (19%) were from Bolivia, 813/2,101 (39%) were from Malawi, and 889/2,101 (42%) were from Nepal. The age of enrolled patients ranged from 1 month to 96 years, with a mean of 43 years (SD 21) and a median of 43 years (IQR 27–62). Hypertension was the most common comorbidity (418/2,101; 20%). At enrollment, 197/2,101 (9.4%) had CKD, and 1,199/2,101 (57%) had AKD. AKI developed in 30% within 7 days. By 1 month, 268/978 (27%) patients in the observation phase and 203/1,123 (18%) in the intervention phase were lost to follow-up. In the intervention phase, more patients received fluids (observation 714/978 [73%] versus intervention 874/1,123 [78%]; 95% CI 0.63, 0.94; p = 0.012), hospitalization was reduced (observation 578/978 [59%] versus intervention 548/1,123 [49%]; 95% CI 0.55, 0.79; p < 0.001), and admitted patients with severe AKI did not show a significantly lower mortality during follow-up (observation 27/135 [20%] versus intervention 21/178 [11.8%]; 95% CI 0.98, 3.52; p = 0.057). Of 504 patients with kidney function assessed during the 6-month follow-up, de novo CKD arose in 79/484 (16.3%), with no difference between the observation and intervention phase (95% CI 0.91, 2.47; p = 0.101). Overall mortality was 273/2,101 (13%) and was highest in those who had CKD (24/106; 23%), followed by those with AKD (128/760; 17%), AKI (85/628; 14%), and NKD (36/607; 6%). The main limitation of our study was the inability to determine the actual incidence of kidney dysfunction in the health centers as it was not feasible to screen all the patients due to the high numbers seen daily.ConclusionsThis multicenter, non-randomized feasibility study in low-resource settings demonstrates that it is feasible to implement a comprehensive program utilizing POC testing and protocol-based management to improve the recognition and management of AKI and AKD in high-risk patients in primary care.

P1489An audit of 215,000 patients on primary care registers using novel electronic searches to identify patients with heart failure requiring treatment optimisation and complex device therapies

Abstract INTRODUCTION Patients with heart failure (HF) may not routinely receive review from a HF specialist and understanding of which patients may benefit from specialist therapies is not widely appreciated by non-specialists. Therefore, there may be frequent missed opportunities for patients under non-specialist care to access prognostically important therapies. PURPOSE To identify high-risk patients in primary care with HF and left ventricular systolic dysfunction (LVSD) that require optimisation and consideration for complex device therapy. METHODS 15 general practitioner (GP) practices across Cornwall were audited between between July 2018 and August 2019 with a total population of 215,114 patients. The total combined HF register in these practices was 2,925. A further 2,238 patients were identified using the case finder element of GRASP-HF, an electronic search tool, to identify patients with HF +/- LVSD not coded correctly in GP records. Electronic records were manually reviewed and selected patients, potentially benefitting from further optimisation, were electronically reviewed by a Consultant Cardiologists for final screening before being invited into a specialist HF clinic at their local GP practice. All patients received an up to date ECG prior to specialist review. Outcomes of each patient clinical review were followed-up for a minimum of 1 month. RESULTS From 5,163 patients audited, 157 underwent clinic review with a Consultant Cardiologist at their local GP practice and are described below. Patient characteristics Mean age was 75 years, 78% were male, 51% had ischaemic cardiomyopathy and 27% had AF. 66% had severe LVSD (EF &amp;lt;35%), 48% had broad QRS (&amp;gt;120ms) and only 44% were deemed to be on optimal medical therapy. Of 88 patients not fully optimised, the proportion requiring optimisation of ACEi/ARB, beta-blocker, MRA, sacubitril-valsartan and ivabradine were 57%, 30%, 36%, 7% and 1%, respectively. Patient outcomes Median follow up period was 7 months (range 2-15). 65% of all patients required further imaging of LV function to help determine onward management. 48% were potential candidates for device therapy and 3 patients (2%) were listed directly for device therapy while 5 patients (3%) declined. In total, following complete assessment, 18 patients (11%) received device implantation (12 CRT-P, 2 CRT-D, 2 ICD and 1 loop recorder) and 25 patients (16%) received sacubitril-valsartan. A change in patient clinical management was instituted in 64% of patients following specialist review. CONCLUSION This comprehensive audit of GP registers demonstrates a significant burden of patients with HF and LVSD who are not appropriately coded. This audit also identifies frequent opportunities to intensify 1st and 2nd line medical therapies and patients that may benefit from specialist therapies including complex devices. Primary care teams would benefit from regular review of their HF registers and from specialist outreach initiatives.

Fracture prevention: a population-based intervention delivered in primary care.

BackgroundOsteoporosis is common, increasing as the population ages and has significant consequences including fracture. Effective treatments are available.AimTo support proactive fracture risk assessment (FRAX) and optimizing treatment for high-risk patients in primary care.DesignClinical cohortSettingNovember 2017 to November 2018, support was provided to 71 practices comprising 69 of 90 practices within two National Health Service Clinical Commissioning Groups areas. Total population 579 508 (207 263 aged over 50 years).ParticipantsFRAX (National Institute for Care and Clinical Excellence, NICE CG146) in (i) males aged 75 years and over, (ii) females aged 65 years and over, (iii) females aged under 65 years and males aged under 75 years with risk factors and (iv) under 50 years with major risk factors.ResultsA total of 158 946 met NICE CG146, 11 961 were coded with an osteoporosis diagnosis (7.5%), of those, 42% were prescribed treatment with a bone sparing agent (BSA). In total, 6942 were assessed to initiate BSA. Thirty percent of untreated osteoporosis diagnosis patients had never been prescribed BSA. Even when prescribed, 1700 people (35%) were for less than minimum recommended duration. Of the total 9784 patients within the FRAX recommended to treat threshold, 3197 (33%) were currently treated with BSA and 3684 (37%) had no history of ever receiving BSA. From untreated patients, expected incidence of 875 fractures over a 3-year period (approximately £3.4 million). Treatment would prevent 274 fractures (cost reduction: £1 274 045, with prescribing costs: saving £805 145 after 3 years of treatment).ConclusionUnderdiagnosis and suboptimal treatment of osteoporosis was identified. Results suggest that implementing NICE guidance and optimizing treatment options in practice is possible and could prevent significant fractures.

The impact of integrated disease management in high-risk COPD patients in primary care

Patients with chronic obstructive pulmonary disease (COPD) have a reduced quality of life (QoL) and exacerbations that drive health service utilization (HSU). A majority of patients with COPD are managed in primary care. Our objective was to evaluate an integrated disease management, self-management, and structured follow-up intervention (IDM) for high-risk patients with COPD in primary care. This was a one-year multi-center randomized controlled trial. High-risk, exacerbation-prone COPD patients were randomized to IDM provided by a certified respiratory educator and physician, or usual physician care. IDM received case management, self-management education, and skills training. The primary outcome, COPD-related QoL, was measured using the COPD Assessment Test (CAT). Of 180 patients randomized from 8 sites, 81.1% completed the study. Patients were 53.6% women, mean age 68.2 years, post-bronchodilator FEV1 52.8% predicted, and 77.4% were Global Initiative for Obstructive Lung Disease Stage D. QoL-CAT scores improved in IDM patients, 22.6 to 14.8, and worsened in usual care, 19.3 to 22.0, adjusted difference 9.3 (p < 0.001). Secondary outcomes including the Clinical COPD Questionnaire, Bristol Knowledge Questionnaire, and FEV1 demonstrated differential improvements in favor of IDM of 1.29 (p < 0.001), 29.6% (p < 0.001), and 100 mL, respectively (p = 0.016). Compared to usual care, significantly fewer IDM patients had a severe exacerbation, −48.9% (p < 0.001), required an urgent primary care visit for COPD, −30.2% (p < 0.001), or had an emergency department visit, −23.6% (p = 0.001). We conclude that IDM self-management and structured follow-up substantially improved QoL, knowledge, FEV1, reduced severe exacerbations, and HSU, in a high-risk primary care COPD population. Clinicaltrials.gov NCT02343055.

Attitudes, perceptions, and behaviours associated with hospital admission avoidance: a qualitative study of high-risk patients in primary care.

There is little evidence documenting the attitudes, experiences, and behavioural factors of high-risk patients who are associated with avoiding hospital. To explore the health, healthcare management, and behavioural factors that contribute to enabling high-risk patients to avoid unplanned hospital admissions. This was an in-depth qualitative, primary care, interview study with patients who were registered on the Northumberland High Risk Patient Programme (NHRPP) in Northumberland, UK. There were 30 participants in this study, of who 21 were high-risk patients and nine were carers, spouses, or relatives. A grounded-theory approach was used to explore themes that emerged from the semi-structured interviews. Participants described physical enablers that helped them to avoid hospital including medication, living aids, and resting; however, the benefit of these may be challenged by patient decision making. The strategies that patients used to cope with their health conditions included acceptance, positive reinterpretation, and growth. Participants felt that support networks of family and friends helped them to avoid hospital, although the strain on the spouse should be considered. The majority of patients described having trust and confidence in their healthcare providers, and continuity of care was important to patients. Reinforcing the importance of the physical enablers, as well as support networks to patients, carers, and healthcare providers, could help patients to avoid hospital. Highlighting the coping strategies that patients use may help patients to manage their health, while promoting continuity of care will also contribute to helping high-risk patients to avoid unplanned hospital admissions.

"The Doctor Needs to Know": Acceptability of Smartphone Location Tracking for Care Coordination.

BackgroundCare coordination can be highly challenging to carry out. When care is fragmented across health systems and providers, there is an increased likelihood of hospital readmissions and wasteful health care spending. During and after care transitions, smartphones have the potential to bolster information transfer and care coordination. However, little research has examined patients’ perceptions of using smartphones to coordinate care.ObjectiveThis study’s primary objective was to explore patient acceptability of a smartphone app that could facilitate care coordination in a safety net setting. Our secondary objective was to identify how clinicians and other members of primary care teams could use this app to coordinate care.MethodsThis qualitative study was conducted at a federally qualified health center in metropolitan Chicago, IL. We conducted four focus groups (two in English, two in Spanish) with high-risk adults who owned a smartphone and received services from an organizational care management program. We also conducted structured interviews with clinicians and a group interview with care managers. Focus groups elicited patients’ perceptions of a smartphone app designed to: (1) identify emergency department (ED) visits and inpatient stays using real-time location data; (2) send automated notifications (ie, alerts) to users’ phones, asking whether they were a patient in the hospital; and (3) send automated messages to primary care teams to notify them about patients’ confirmed ED visits and inpatient stays. Focus group transcripts were coded based on emergent themes. Clinicians and care managers were asked about messages they would like to receive from the app.ResultsFive main themes emerged in patient focus group discussions. First, participants expressed a high degree of willingness to use the proposed app during inpatient stays. Second, participants expressed varying degrees of willingness to use the app during ED visits, particularly for low acuity ED visits. Third, participants stated their willingness to have their location tracked by the proposed app due to its perceived benefits. Fourth, the most frequently mentioned barriers to acceptability were inconveniences such as “false alarm” notifications and smartphone battery drainage. Finally, there was some tension between how to maximize usability without unnecessarily increasing user burden. Both clinicians and care managers expressed interest in receiving messages from the app at the time of hospital arrival and at discharge. Clinicians were particularly interested in conducting outreach during ED visits and inpatient stays, while care managers expressed more interest in coordinating postdischarge care.ConclusionsHigh-risk primary care patients in a safety net setting reported a willingness to utilize smartphone location tracking technology to facilitate care coordination. Further research is needed on the development and implementation of new smartphone-based approaches to care coordination.

Integrative pain management program serving high-risk primary care patients with chronic pain

Integrative pain management program serving high-risk primary care patients with chronic pain

Using Group Visits to Provide Overdose Education and Distribute Naloxone to High-Risk Primary Care Patients

Using Group Visits to Provide Overdose Education and Distribute Naloxone to High-Risk Primary Care Patients