Enhancing patient outcomes: Integrating electronic cardiology consultation in primary care for cancer patients.

BACKGROUND: The prevalence of cancer patients with concomitant cardiovascular (CV) disease is on the rise due to improved cancer prognoses. The aim of this study is to evaluate the long-term outcomes of cancer patients referred to a cardiology department (CD) via primary care using e-consultation. METHODS: We analysed data from cancer patients with prior referrals to a CD between 2010 and 2021 (n = 6889) and compared two care models: traditional in-person consultations and e-consultations. In e-consultation model, cardiologists reviewed electronic health records (e-consultation) to determine whether the demand could be addressed remotely or necessitated an in-person consultation. We used an interrupted time series regression model to assess outcomes during the two periods: (1) time to cardiology consultation, (2) rates of all-cause and CV related hospital admissions and (3) rates of all-cause and CV-related mortality within the first year after the initial consultation or e-consultation at the CD. RESULTS: Introduction of e-consultation for cancer patients referred to cardiology care led to a 51.8% reduction (95%CI: 51.7%-51.9%) in waiting times. Furthermore, we observed decreased 1-year incidence rates, with incidence rate ratios (iRRs) [IC95%] of .75 [.73-.77] for CV-related hospitalizations, .43 [.42-.44] for all-cause hospitalizations, and .87 [.86-.88] for all-cause mortality. CONCLUSIONS: Compared to traditional in-person consultations, an outpatient care program incorporating e-consultation for cancer patients significantly reduced waiting times for cardiology care and demonstrated safety, associated with lower rates of hospital admissions.

Impact of prior use of antiplatelets on COVID-19 susceptibility, progression, and severity: a population-based study.

INTRODUCTION AND OBJECTIVES: Hypercoagulability and thromboembolism are processes that arise from severe acute respiratory syndrome coronavirus 2 infection and are responsible for a high degree of coronavirus disease 2019 (COVID-19)-related morbidity and mortality. This study sought to assess the effect of antiplatelet drugs on COVID-19 severity (risk of hospitalization and mortality), susceptibility to severe acute respiratory syndrome coronavirus 2 infection, and progression to severe COVID-19. METHODS: We conducted a population-based case-control study in a northwestern region of Spain in 2020. The study involved 3060 participants with a positive polymerase chain reaction test who were hospitalized, 26 757 participants with a positive polymerase chain reaction test who were not hospitalized, and 56 785 healthy controls. RESULTS: Triflusal seemed to be associated with a significant increase in risk of hospitalization (aOR, 1.97; 95%CI, 1.27-3.04) and susceptibility to infection (OR, 1.45; 95%CI, 1.07-1.96). It also appeared to lead to a nonsignificant increase in the risk of mortality (OR, 2.23; 95%CI, 0.89-5.55) and/or progression to more severe disease stages (OR, 1.42; 95%CI, 0.8-2.51). Aspirin seemed to be associated with a statistically significant decrease in susceptibility to severe acute respiratory syndrome coronavirus 2 infection (OR, 0.92; 95%CI, 0.86-0.98). CONCLUSIONS: Triflusal use appears to increase the risk of susceptibility to COVID-19 infection and an even higher risk of hospitalization, whereas the other antiplatelets could be associated with a reduction in the risk of the various outcomes or have no effect on risk. These findings could support reconsideration of triflusal prescription in COVID-19 pandemic situations.

Impact of a clinician-to-clinician electronic consultation in heart failure patients with previous hospital admissions.

Aims: To evaluate the impact of an outpatient care management programme that includes a clinician-to-clinician e-consultation on delay time in care, hospital admissions, and mortality in a high-risk group of patients with heart failure (HF) and previous episodes of HF hospitalization (HFH). Methods and results: We selected 6444 HF patients who visited the cardiology service at least once between 2010 and 2021. Of these, 4851 were attended in e-consult, and 2230 had previous HFH. Using an interrupted time series regression model, we analysed the impact of incorporating e-consult into the healthcare model in the group of patients with HFH and evaluated the elapsed time to cardiology care, HF, cardiovascular (CV), and all-cause hospital admissions and mortality, calculating the incidence relative risk (iRR). In the group of patients with HFH, the introduction of e-consult substantially decreased waiting times to cardiology care (8.6 [8.7] vs. 55.4 [79.9] days, P < 0.001). In that group of patients, after e-consult implantation, hospital admissions for HF were reduced (iRR [95%CI]: 0.837 [0.840-0.833]), 0.900 [0.862-0.949] for CV and 0.699 [0.678-0.726] for all-cause hospitalizations. There was also lower mortality (iRR [95%CI]: 0.715 [0.657-0.798] due to HF, 0.737 [0.764-0.706] for CV and 0.687 [0.652-0.718] for all-cause). The improved outcomes after e-consultation implementation were significantly higher in the group of patients with previous HFH. Conclusion: In patients with HFH, an outpatient care programme that includes an e-consult significantly reduced waiting times to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year.

Estimated Technological Obsolescence of Computed Tomography Equipment.

RATIONALE AND OBJECTIVES: To evaluate a model for predicting technological obsolescence of computed tomography (CT) equipment. MATERIALS AND METHODS: Baseline data consisted of various models of CT scanners that have been on the market since 1974 and represent a technological leap in CT. In documenting the CT scans, a principal component analysis was performed to reduce the number of variables. A Cox regression model was used to calculate the probability of a technology leap. RESULTS: The CT parameters were divided into three main components: detection system, image resolution, and device performance. Cox regression odds ratios show that a technology leap can be expected as a function of the variables device power (1.457), detection system (0.818), and image resolution (0.964). CONCLUSION: Our results show that the variables that predict the technological leap in CT are device performance, image resolution, and detection system. The results provide a better understanding of the expected technological changes in CT, which will lead to advances in planning investments in this technology, purchasing and installing equipment in hospitals where this type of technology is not yet available, and renewing the technological base already installed.

Cost Analysis of Magnetic Resonance Imaging and Computed Tomography in Cardiology: A Case Study of a University Hospital Complex in the Euro Region.

INTRODUCTION: In recent years, several hospitals have incorporated MRI equipment managed directly by their cardiology departments. The aim of our work is to determine the total cost per test of both CT and MRI in the setting of a Cardiology Department of a tertiary hospital. MATERIALS AND METHODS: The process followed for estimating the costs of CT and MRI tests consists of three phases: (1) Identification of the phases of the testing process; (2) Identification of the resources consumed in carrying out the tests; (3) Quantification and assessment of inputs. RESULTS: MRI involves higher personnel (EUR 66.03 vs. EUR 49.17) and equipment (EUR 89.98 vs. EUR 33.73) costs, while CT consumes higher expenditures in consumables (EUR 93.28 vs. EUR 22.95) and overheads (EUR 1.64 vs. EUR 1.55). The total cost of performing each test is higher in MRI (EUR 180.60 vs. EUR 177.73). CONCLUSIONS: We can conclude that the unit cost of each CT and MRI performed in that unit are EUR 177.73 and EUR 180.60, respectively, attributable to consumables in the case of CT and to amortization of equipment and staff time in the case of MRI.

Gender differences on healthcare accessibility and outcomes of a electronic inter-clinician consultation program at the cardiology department in a Galician Health Area.

AIMS: To assess the longer-term results (hospital admissions and mortality) in women versus men referred to a cardiology department from primary care using an e-consultation in our outpatient care programme. METHODS: We selected 61,306 patients (30,312 women and 30,994 men) who visited the cardiology service at least once between 2010 and 2021: 69.1% (19,997 women and 20,462 men) were attended in e-consultation (from 2013 to 2021) and 30.9% (8920 women and 9136 men) in in-person consultations (from 2010 to 2012) without gender differences in the proportion of patients attended in each period. Using an interrupted time series regression model, we analysed the impact of incorporating e-consultation into the healthcare model and evaluated the elapsed time to cardiology care, heart failure (HF), cardiovascular (CV), and all-cause hospital admissions and mortality during the one-year after cardiology consultation. RESULTS: The introduction of e-consultation substantially decreased waiting times to cardiology care; during the in-person consultation period, the mean delay for cardiology care was 57.9 (24.8) days in men and 55.8 (22.8) days in women. During the e-consultation period, the waiting time to cardiology care was markedly reduced to 9.41 (4.02) days in men and 9.46 (4.18) in women. After e-consultation implantation, there was a significant reduction in the 1-year rate of hospital admissions and mortality, both in women and men iRR [IC 95%]: 0.95 [0.93-0.96] for HF, 0.90 [0.89-0.91] for CV and 0.70 [0.69-0.71] for all-cause hospitalization; and 0.93 [0.92-0.95] for HF, 0.86 [0.86-0.87] for CV and 0.88 [0.87-0.89] for all-cause mortality in women; and 0.91 [0.89-0.92] for HF, 0.90 [0.89-0.91] for CV and 0.72 [0.71-0.73] for all-cause hospitalization; and 0.96 [0.93-0.97] for HF, 0.87 [95% CI: 0.86-0.87] for CV and 0.87 [0.86-0.87] for all-cause mortality, in men. CONCLUSION: Compared with the in-person consultation period, an outpatient care programme that includes an e-consultation significantly reduced waiting time to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year, without significative gender differences.

A clinician-to-clinician universal electronic consultation programme at the cardiology department of a Galician healthcare area improves healthcare accessibility and outcomes in elderly patients.

Aims: We aimed to assess longer-term results (accessibility, hospital admissions, and mortality) in elderly patients referred to a cardiology department (CD) from primary care using e-consultation in outpatient care. Methods and results: We included 9963 patients >80 years from 1 January 2010 to 31 December 2019. Until 2012, all patients attended an in-person consultation (2010-2012). In 2013, we instituted an e-consult programme (2013-2019) for all primary care referrals to cardiologists that preceded a patient's in-person consultation when considered. We used an interrupted time series (ITS) regression approach to investigate the impact of e-consultation on (i) cardiovascular hospital admissions and mortality. We also analysed (ii) the total number and referral rate (population-adjusted referred rate) in both periods, and (iii) the accessibility was measured as the number of consultations and variation according to the distance from the municipality and reference hospital. During e-consultation, the demand for care increased (12.8 ± 4.3% vs. 25.5 ± 11.1% per 1000 inhabitants, P < 0.001) and referrals from different areas were equalized. After the implementation of e-consultation, we observed that the increase in hospital admissions and mortality were stabilized [incidence rate ratio (iRR): 1.351 (95% CI, 0.787, 2.317), P = 0.874] and [iRR: 1.925 (95% CI: 0.889, 4.168), P = 0.096], respectively. The geographic variabilities in hospital admissions and mortality seen during the in-person consultation were stabilized after e-consultation implementation. Conclusions: Implementation of a clinician-to-clinician e-consultation programme in outpatient care was associated with improved accessibility to cardiology healthcare in elderly patients. After e-consultations were implemented, hospital admissions and mortality were stabilized.

Seguimiento de pacientes COVID-19 en aislamiento domiciliario mediante telemonitorización desde Atención Primaria / Follow-up for COVID-19 patients in home isolation through telemonitoring by Primary Care

El objetivo de este artículo es dar a conocer la experiencia de la implantación de la herramienta de teleseguimiento “TELEA” en el ámbito de Atención Primaria (AP) para la gestión de los casos COVID-19 en aislamiento domiciliario, así como describir su primer mes de implantación en el Área Sanitaria de Santiago de Compostela y Barbanza (septiembre de 2020).La herramienta TELEA existía previamente para el seguimiento de personas con patología crónica y se adaptó al seguimiento en casos COVID-19. El servicio incluía una clasificación inicial de los pacientes tras la notificación automática e inmediata de pruebas diagnósticas positivas de COVID: asintomático, bajo riesgo, con factores de riesgo o con signos de alarma. En los tres primeros casos se ofrecía a los pacientes seguimiento y monitorización mediante una plataforma digital donde registraban datos biométricos y síntomas respiratorios tres veces al día. Esos datos estaban enlazados a la historia clínica y eran monitorizados por la enfermera de AP. Alternativamente se realizó seguimiento telefónico proactivo por parte de la enfermera. Si presentaban signos de alarma eran derivados al hospital de referencia.Se hizo seguimiento en 220 de las 229 personas candidatas (el 78,6%; n= 173 mediante TELEA). El tiempo medio de seguimiento fue de 13,8 días, mayor en los pacientes incluidos en TELEA que en el seguimiento telefónico (p< 0,01). Ingresaron durante el seguimiento el 6,8 % de los pacientes, ninguno falleció.El teleseguimiento con telemonitorización domiciliaria basada en el control proactivo y protocolizado por parte de la enfermera de AP permitió un seguimiento clínicamente útil de pacientes con COVID-19 en aislamiento domiciliario.(AU)

The objective of this article is to make public the experience of implementing the telemonitoring tool “TELEA” in the Primary Care (PC) setting for the management of COVID-19 cases in home isolation, as well as to describe its first month of implementation at the Santiago de Compostela and Barbanza Health Area (September 2020).The TELEA tool was previously used for the follow-up of persons with chronic conditions, and was then adapted for the follow-up of COVID-19 cases. The service included an initial classification of patients after the automatic and immediate report of positive COVID diagnostic tests: asymptomatic, low risk, with risk factors or with warning signs. In the three first cases, patients were offered follow-up and monitoring through a digital platform where biometric data and respiratory symptoms were registered three times per day. These data were linked with the clinical record and monitored by the PC nurse. Alternatively, there was proactive follow-up by telephone by the nurse. If patients presented warning signs, they were referred to the hospital of reference.Follow-up was conducted for 220 of the 229 adequate persons (78.6%; n= 173 through TELEA). The mean follow-up time was 13.8 days, higher for the patients included in TELEA than for those with follow-up by telephone (p< 0.01). During follow-up, 6.8% of patients were admitted to hospital; none of them died.Remote follow-up with home telemonitoring based on the proactive management under protocol by the PC nurse allowed a clinically useful follow-up of patients with COVID-19 in home isolation.(AU)

Colchicine and risk of hospitalization due to COVID-19: A population-based study.

Colchicine is one of the most widely studied and best-known anti-inflammatory treatments. This study aimed to assess the effect of colchicine on risk of hospitalization due to COVID-19; and its effect on susceptibility to and severity of the virus in patients with COVID-19. We carried out a population-based case-control study. The following groups were applied: (1) to assess risk of hospitalization, cases were patients with a positive PCR who were hospitalized due to COVID-19, and controls without a positive PCR; (2) to assess susceptibility to COVID-19, cases were patients with a positive PCR (hospitalized and non-hospitalized), and the same controls; (3) to determine potential severity, cases were subjects with COVID-19 hospitalized, and controls patients with COVID-19 nonhospitalised. Different electronic, linked, administrative health and clinical databases were used to extract data on sociodemographic variables, comorbidities, and medications dispensed. The study covered 3060 subjects with a positive PCR who were hospitalized, 26 757 with a positive PCR who were not hospitalized, and 56 785 healthy controls. After adjustment for sociodemographic variables, comorbidities and other treatments, colchicine did not modify risk of hospitalization due to COVID-19 (adjusted odd ratio [OR] 1.08 [95% confidence interval (CI) 0.76-1.53]), patients' susceptibility to contracting the disease (adjusted OR 1.12 (95% CI 0.91-1.37)) or the severity of the infection (adjusted OR 1.03 [95% CI 0.67-1.59]). Our results would neither support the prophylactic use of colchicine for prevention of the infection or hospitalization in any type of patient, nor justify the withdrawal of colchicine treatment due to a higher risk of contracting COVID-19.

Effect of Previous Anticoagulant Treatment on Risk of COVID-19.

INTRODUCTION: Little is known about the role played by anticoagulants in COVID-19. OBJECTIVE: The aim of this study was to assess the impact of previous anticoagulant treatment on risk of hospitalization due to COVID-19, progression to severe COVID-19 and susceptibility to COVID-19 infection. METHODS: We conducted a multiple population-based case-control study in northwest Spain, in 2020, to assess (1) risk of hospitalization: cases were all patients admitted due to COVID-19 with PCR confirmation, and controls were a random matched sample of subjects without a positive PCR; (2) progression: cases were hospitalized COVID-19 subjects, and controls were all non-hospitalized COVID-19 patients; and (3) susceptibility: cases were patients with a positive PCR (hospitalized and non-hospitalized), and the controls were the same as for the hospitalization model. Adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using a generalized linear mixed model. RESULTS: The consumption of antivitamin K and direct-acting anticoagulants apparently was not associated with the risk of progression to severe COVID-19 (OR 0.93 [95% CI 0.74-1.17] and OR 1.04 [95% CI 0.79-1.36], respectively). Antivitamin K anticoagulants were associated with a significantly lower risk of hospitalization (OR 0.77 [95% CI 0.64-0.93]), which, in part, can be explained by a decreased risk of susceptibility to infection (OR 0.83 [95% CI 0.74-0.92]). The use of direct-acting anticoagulants was not associated with the risk of hospitalization, although it also seems to decrease susceptibility (OR 0.85 [95% CI 0.74-0.98]). It has also been observed that low-molecular-weight heparins were associated with an increased risk of progression to severe COVID-19 (OR 1.25 [95% CI 1.01-1.55]). CONCLUSION: The results of this study have shown that antivitamin K anticoagulants and direct-acting anticoagulants do not increase the risk of progression to more severe stages. Antivitamin K consumption was associated with a lower risk of hospitalization and susceptibility to infection.

The impact of inter-clinician electronic consultation in patients diagnosed with atrial fibrillation in primary care.

BACKGROUND: An early diagnosis and early initiation of oral anticoagulants (OAC) are main determinants for outcomes in patients with atrial fibrillation (AF). Inter-clinician electronic consultations (e-consultations) program for the general practitioner referrals to cardiologist may improve health care access by reducing the elapsed time for cardiology care. OBJECTIVE: To evaluate the effect of a reduced elapsed time to care after a inter-clinician e-consultations program implementation (2013-2019) in comparison with previous in-person consultation (2010-2012) in the outpatient health care management in a Cardiology Department. METHODOLOGY: We included 10,488 patients with AF from 1 January 2010, to 31 December 2019. Until 2012, all patients attended an in-person consultation (2010-2012). In 2013, we instituted an e-consult program (2013-2019) for all primary care referrals to cardiologists that preceded patient's in-person consultation when considered. The shared electronic patient dossier (EPD) was available between GP and cardiologist, and any change in therapy advice from cardiologist was directly implemented in this EPD. RESULTS: During the e-consultation period (2013-2019) were referred 6627 patients by GPs to cardiology versus 3861 during the in-person consultation (2010-2012). The e-consultation implementation was associated with a reduction in the elapsed time to anticoagulation prescription (177.6 ± 8.9 vs. 22.5 ± 8.1 days, p < .001), and an increase of OAC use (61% [95% IC: 19.6%-102.4%], p < .001). The e-consult program implementation was associated with a reduction in the 1-year CV mortality (.48 [95% CI: .30-.75]) and all-cause mortality (.42 [95% CI: .29-.62]). The OAC reduces the stroke mortality (.15 [95% CI: .06-.39]) and CV mortality (.43 [95% CI: .29-.62]) and all-cause mortality (.23 [95% CI: .17-.31]). CONCLUSION: A shared EPD-based inter-clinician e-consultation program significantly reduced the elapsed time for cardiology consultation and initiation of OAC. The implementation of this program was associated with a lower risk of stroke and cardiovascular/all-cause mortality.

An electronic consultation program impacts on heart failure patients' prognosis: implications for heart failure care.

AIMS: e-consults are asynchronous, clinician-to-clinician exchanges that answer focused, non-urgent, patient-specific questions using the electronic medical record. We instituted an e-consultation programme (2013-2019) for all general practitioners (GPs) referrals to cardiologists that preceded patients' in-person consultations when considered. In our study, we aimed to analyse the clinical characteristics, 1 year prognosis and the prognostic determinants of patients with a previous diagnosis of HF referred for an e-consult, categorized by their previous HF-related hospitalization status (recent hospitalization, <1 year before; remote hospitalization, >1 year before or never been hospitalized because of HF), and to analyse the impact of reducing the time elapsed between e-consultation and response by the cardiologist in terms of prognosis. METHODS AND RESULTS: Epidemiological and clinical data were obtained from 4851 HF patients referred by GPs to the cardiology department for an e-consultation 2013 and 2020. The delay of time to e-consults were solved was 8.6 + 8.6 days with 84.3% solved in <14 days. For the 1 year prognosis evaluation after the e-consult were assessed the cardiovascular hospitalizations, HF-related hospitalizations, HF-related mortality, cardiovascular mortality, and all-cause mortality. Compared with the group without a previous hospitalization, patients with recent and remote HF hospitalization were at higher risk of a new HF-related hospitalization (OR: 19.41 [95% CI: 12.95-29.11]; OR: 8.44 [95% CI: 5.14-13.87], respectively), HF-related mortality (OR: 2.47 [95% CI: 1.43-4.27]; OR: 1.25 [95% CI: 0.51-3.06], respectively), as well as cardiovascular hospitalizations and mortality and all-cause mortality. Reduction in the time elapsed because e-consultation was solved was associated with lower risk of HF-related mortality (OR: 0.94 [95% CI: 0.89-0.99]), cardiovascular mortality (OR: 0.96 [95% CI: 0.93-0.98]), and all-cause mortality (OR: 0.98 [95% CI: 0.97-1.00]). CONCLUSIONS: A clinician-to-clinician e-consultation programme between GPs and cardiologists in patients with HF allows to solve the demand of care in around 25% e-consults without an in-person consultation; the patients with a previous history of HF-related hospitalization showed a worse 1 year outcome. A reduction in the time elapsed because e-consultation was solved was associated with a mortality reduction.

Longer-Term Results of a Universal Electronic Consultation Program at the Cardiology Department of a Galician Healthcare Area.

BACKGROUND: Telemedicine models play a key role in organizing the growing demand for care and healthcare accessibility, but there are no described longer-term results in health care. Our objective is to assess the longer-term results (delay time in care, accessibility, and hospital admissions) of an electronic consultation (e-consultation) outpatient care program. METHODS: Epidemiological and clinical data were obtained from the 41 258 patients referred by primary care to the cardiology department from January 1, 2010, to December 31, 2019. Until 2012, all patients were attended in an in-person consultation (2010-2012). In 2013, we instituted an e-consultation program (2013-2019) for all primary care referrals to cardiologists that preceded patients' in-person consultations when considered. We used an interrupted time series regression approach to investigate the impact of the e-consultation on (1) delay time (days) in care and (2) hospital admissions. We also analyzed (3) total number and referral rate (population-adjusted referred rate) in both periods (in-person consultation and e-consultation), and (4) the accessibility was measured as number of consultations and variation according to distance from municipality and reference hospital. RESULTS: During the e-consultation, the demand increased (7.2±2.4% versus 10.1±4.8% per 1000 inhabitants, P<0.001), and referrals from different areas were equalized. The reduction in delay to consultation during the in-person consultation (-0.96 [95% CI, -0.951 to -0.966], P<0.001) was maintained with e-consultations (-0.064 [95% CI, 0.043-0.085], P<0.001). After the implementation of e-consultation, we observed that the increasing of hospital admission observed in the in-person consultation (incidence rate ratio, 1.011 [95% CI, 1.003-1.018]), was stabilized (incidence rate ratio, 1.000 [95% CI, 0.985-1.015]; P=0.874). CONCLUSIONS: Implementing e-consultations in the outpatient management model may improve accessibility of care for patients furthest from the referral hospital. After e-consultations were implemented, the upward trend of hospital admissions observed during the in-person consultation period was stabilized with a slight downward trend.

Universal electronic consultation (e-consultation) program of a cardiology service. Long-term results.

INTRODUCTION AND OBJECTIVES: Many health systems have initiated electronic consultation (e-consultation) programs, although little is known about their impact on accessibility, safety, and satisfaction. The aim of this study was to assess the clinical impact of the implementation of an outpatient care model that includes an initial e-consultation and to compare it with a one-time face-to-face consultation model. METHODS: We selected patients who visited the cardiology service at least once between 2010 and 2019. Using an interrupted time series regression model, we analyzed the impact of incorporating e-consultation into the health care model (started in 2013), and evaluated waiting times, emergency services, hospital admissions, and mortality. RESULTS: We analyzed 47 377 patients: 61.9% were attended in e-consultation and 38.1% in one-time face-to-face consultations. The waiting time for care was shorter in the e-consultation model (median [IQR]: 7 [5-13] days) than in the face-to-face model (median [IQR]: 33 [14-81] days), P<.001. The interrupted time series regression model showed that the introduction of e-consultation substantially decreased waiting times, which held steady at around 9 days, although with slight oscillations. Patients evaluated via e-consultation had fewer hospital admissions (0.9% vs 1.2%, P=.0017) and lower mortality (2.5% vs 3.9%, P<.001). CONCLUSIONS: An outpatient care program that includes an e-consultation reduced waiting times significantly and was safe, with a lower rate of hospital admissions and mortality in the first year.

Análisis de los problemas relacionados con la medicación en pacientes polimedicados mayores de 64 años en atención primaria. Un estudio descriptivo transversal / Analysis of drug-related problems in polymedicated patients over the age of 64 in primary care. A cross-sectional descriptive study

OBJETIVO: Identificar los problemas relacionados con la medicación mediante los criterios STOPP/START en pacientes polimedicados mayores de 64 años con 12 o más fármacos. MÉTODO: Estudio descriptivo transversal. Se analizaron 172 casos seleccionados aleatoriamente del registro de 1.500 pacientes polimedicados del Programa de Mejora de la Calidad en el Paciente Crónico y Polimedicado del Servicio Gallego de Salud para el área de Santiago en el 2017. Se registraron los problemas relacionados con los medicamentos y los resultados negativos asociados a la medicación. El incumplimiento terapéutico se evaluó mediante el test de Morisky-Green-Levine. Las intervenciones enfermeras se registraron a partir del informe enfermero del programa. Se realizó análisis bivariante de los datos y la asociación entre las variables se estimó mediante el cálculo de la odds ratio. RESULTADO: El 56,4% de las pacientes eran mujeres. La media de edad fue de 77,34±10,11 años. El problema más habitual fue la probabilidad de presentar efectos adversos, observándose en el 64,1% de los pacientes. Las mujeres presentaron mayor probabilidad de presentar este problema que los varones (OR: 1,37; IC 95%: 1,06-1,78). Un 18% de los pacientes se consideraron no cumplidores del tratamiento prescrito, según el test de Morisky-Green-Levine. Un 25,6% de los pacientes recibieron intervenciones de educación sanitaria. CONCLUSIONES: La enfermera debe reevaluar periódicamente la medicación de los pacientes para comprobar adherencia al tratamiento y conocer si están provocando algún tipo de efecto adverso, así como incorporar a su actividad intervenciones de educación para la salud en este campo

OBJECTIVE: To identify drug-related problems using the STOPP/START criteria of patients over 64 years polymedicated with 12 or more drugs. METHOD: Descriptive cross-sectional. We analysed 172 cases randomly selected from the register of 1500 polymedicated patients of the Quality Improvement Programme for Chronic and Polymedicated Patients of the Galician Health Service for the area of Santiago in 2017. Drug-related problems and the negative results associated with medication were recorded. Treatment compliance was assessed by the Morisky-Green-Levine test. Nursing interventions were recorded based on the Programme's nursing report. Bivariate analysis of the data was performed and the association between the variables was estimated by calculating the odds ratio (OR). RESULTS: The 56.4% of the patients were women. The mean age was 77.34±10.11 years. The most common problem was the likelihood of presenting adverse effects, observed in 64.1% of the patients. Women were more likely to have this problem than men (OR: 1.37; 95% CI: 1.06-1.78). Eighteen percent of the patients were considered non-compliant with the prescribed treatment, according to the Morisky-Green-Levine test. Of the patients, 25.6% had received health education interventions. CONCLUSIONS: Nurses must periodically re-evaluate patient medication to check adherence to treatment and determine whether it is causing any type of adverse effect, as well as incorporate health education interventions in this field into their activity

Analysis of drug-related problems in polymedicated patients over the age of 64 in primary care. A cross-sectional descriptive study. / Análisis de los problemas relacionados con la medicación en pacientes polimedicados mayores de 64 años en atención primaria. Un estudio descriptivo transversal.

OBJECTIVE: To identify drug-related problems using the STOPP/START criteria of patients over 64 years polymedicated with 12 or more drugs. METHOD: Descriptive cross-sectional. We analysed 172 cases randomly selected from the register of 1500 polymedicated patients of the Quality Improvement Programme for Chronic and Polymedicated Patients of the Galician Health Service for the area of Santiago in 2017. Drug-related problems and the negative results associated with medication were recorded. Treatment compliance was assessed by the Morisky-Green-Levine test. Nursing interventions were recorded based on the Programme's nursing report. Bivariate analysis of the data was performed and the association between the variables was estimated by calculating the odds ratio (OR). RESULTS: The 56.4% of the patients were women. The mean age was 77.34±10.11 years. The most common problem was the likelihood of presenting adverse effects, observed in 64.1% of the patients. Women were more likely to have this problem than men (OR: 1.37; 95% CI: 1.06-1.78). Eighteen percent of the patients were considered non-compliant with the prescribed treatment, according to the Morisky-Green-Levine test. Of the patients, 25.6% had received health education interventions. CONCLUSIONS: Nurses must periodically re-evaluate patient medication to check adherence to treatment and determine whether it is causing any type of adverse effect, as well as incorporate health education interventions in this field into their activity.