Machine Learning-Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study.

BACKGROUND: Functional impairment is one of the most decisive prognostic factors in patients with complex chronic diseases. A more significant functional impairment indicates that the disease is progressing, which requires implementing diagnostic and therapeutic actions that stop the exacerbation of the disease. OBJECTIVE: This study aimed to predict alterations in the clinical condition of patients with complex chronic diseases by predicting the Barthel Index (BI), to assess their clinical and functional status using an artificial intelligence model and data collected through an internet of things mobility device. METHODS: A 2-phase pilot prospective single-center observational study was designed. During both phases, patients were recruited, and a wearable activity tracker was allocated to gather physical activity data. Patients were categorized into class A (BI≤20; total dependence), class B (2060; moderate or mild dependence, or independent). Data preprocessing and machine learning techniques were used to analyze mobility data. A decision tree was used to achieve a robust and interpretable model. To assess the quality of the predictions, several metrics including the mean absolute error, median absolute error, and root mean squared error were considered. Statistical analysis was performed using SPSS and Python for the machine learning modeling. RESULTS: Overall, 90 patients with complex chronic diseases were included: 50 during phase 1 (class A: n=10; class B: n=20; and class C: n=20) and 40 during phase 2 (class B: n=20 and class C: n=20). Most patients (n=85, 94%) had a caregiver. The mean value of the BI was 58.31 (SD 24.5). Concerning mobility aids, 60% (n=52) of patients required no aids, whereas the others required walkers (n=18, 20%), wheelchairs (n=15, 17%), canes (n=4, 7%), and crutches (n=1, 1%). Regarding clinical complexity, 85% (n=76) met patient with polypathology criteria with a mean of 2.7 (SD 1.25) categories, 69% (n=61) met the frailty criteria, and 21% (n=19) met the patients with complex chronic diseases criteria. The most characteristic symptoms were dyspnea (n=73, 82%), chronic pain (n=63, 70%), asthenia (n=62, 68%), and anxiety (n=41, 46%). Polypharmacy was presented in 87% (n=78) of patients. The most important variables for predicting the BI were identified as the maximum step count during evening and morning periods and the absence of a mobility device. The model exhibited consistency in the median prediction error with a median absolute error close to 5 in the training, validation, and production-like test sets. The model accuracy for identifying the BI class was 91%, 88%, and 90% in the training, validation, and test sets, respectively. CONCLUSIONS: Using commercially available mobility recording devices makes it possible to identify different mobility patterns and relate them to functional capacity in patients with polypathology according to the BI without using clinical parameters.

Survival Impact of an On-Site Medicalization Program in the Control of COVID-19 Outbreaks in 11 Nursing Homes.

BACKGROUND: The elderly admitted to nursing homes have especially suffered the havoc of the COVID-19 pandemic since most of them are not prepared to face such health problems. METHODS: An innovative coordinated on-site medicalization program (MP) in response to a sizeable COVID-19 outbreak in three consecutive waves was deployed, sharing coordination and resources among primary care, the referral hospital, and the eleven residences. The objectives were providing the best possible medical care to residents in their environment, avoiding dehumanization and loneliness of hospital admission, and reducing the saturation of hospitals and the risk of spreading the infection. The main outcomes were a composite endpoint of survival or optimal palliative care (SOPC), survival, and referral to the hospital. RESULTS: 587 of 1199 (49%) residents were infected, of whom 123 (21%) died. Patients diagnosed before the start of the MP presented SOPC, survival, and referrals to the hospital of 83%, 74%, and 22.4%, opposite to 96%, 84%, and 10.6% of patients diagnosed while the MP was set up. The SOPC was independently associated with an MP (OR 3.4 [1.6-7.2]). CONCLUSION: During the COVID-19 outbreak, a coordinated MP successfully obtained a better rate of SOPC while simultaneously reducing the need for hospital admissions, combining optimal medical management with a more compassionate and humanistic approach in older people.

Feasibility of the Implementation of LESS-CHRON in Clinical Practice: A Pilot Intervention Study in Older Patients With Multimorbidity.

Background and Objectives: Potentially inappropriate medication refers to the prescription of drugs whose risks outweigh the benefits. There are different pharmacotherapeutic optimization strategies to detect and avoid potentially inappropriate medications (PIMs), namely deprescription. The List of Evidence-Based Deprescribing for Chronic Patients (LESS-CHRON) criteria were designed as a tool to systematize the deprescribing process. LESS-CHRON has established itself as one of the most suitable to be applied in older (≥65 years) multimorbid patients. However, it has not been applied to these patients, to measure the impact on their treatment. For this reason, a pilot study was conducted to analyze the feasibility of implementing this tool in a care pathway. Research Design and Methods: A pre-post quasi-experimental study was conducted. Older outpatients with multimorbidity from the Internal Medicine Unit of a benchmark Hospital were included. The main variable was feasibility in clinical practice, understood as the likelihood that the deprescribing intervention recommended by the pharmacist would be applied to the patient. Success rate, therapeutic, and anticholinergic burden, and other variables related to health care utilization were analyzed. Results: A total of 95 deprescribing reports were prepared. Forty-three were evaluated by the physician who assessed the recommendations made by pharmacists. This translates into an implementation feasibility of 45.3%. The application of LESS-CHRON identified 92 PIMs. The acceptance rate was 76.7% and after 3 months 82.7% of the stopped drugs remained deprescribed. A reduction in anticholinergic burden and enhanced adherence was achieved. However, no improvement was found in clinical or health care utilization variables. Discussion and Implications: The implementation of the tool in a care pathway is feasible. The intervention has achieved great acceptance and deprescribing has been successful in a not insignificant percentage. Future studies with a larger sample size are necessary to obtain more robust results in clinical and health care utilization variables.

Prevalence of Potentially Inappropriate Medications in Patients With Multimorbidity According to LESS-CHRON and STOPPFrail Criteria.

OBJECTIVE: LESS-CHRON (List of Evidence-Based Deprescribing for Chronic Patients) and STOPPFrail (Screening Tool of Older Persons' Prescriptions in Frail adults with limited life expectancy) are criterion-based deprescribing tools. This study aimed to identify the prevalence of potentially inappropriate medications (PIMs) with these tools in an outpatient, polymedicated, older population with multimorbidity. DESIGN: Single-center cross-sectional observational study. SETTING AND PARTICIPANTS: PIMs and criteria subject to deprescribing identified by each tool were collected in patients who were being followed up on outpatient internal medicine consultation. METHODS: PIMs were identified by STOPPFrail and LESS-CHRON criteria reviewing medical histories and pharmacologic treatments of the patients in the electronic health card system. Sociodemographic, clinical, and pharmacologic variables were recorded. A correlation analysis between treatment tools and clinical values was performed using the nonparametric Spearman rho correlation. RESULTS: Eighty-three patients with a median of 14.4 (interquartile range 12-17) prescribed drugs were included. The total number of PIMs identified with LESS-CHRON was 158 vs 127 with STOPPFrail. Eight of the 27 criteria (29.6%) for LESS-CHRON and 15 of the 25 for STOPPFrail were found to be not applicable. A significant correlation was obtained for both tools with the number of prescribed drugs at the time of inclusion. The Profund, Barthel, and Frail-VIG index only showed a significant correlation with LESS-CHRON. CONCLUSION AND IMPLICATIONS: Both tools have shown the capacity to identify PIMs that can be deprescribed in the population studied. However, LESS-CHRON appears to have a greater detection potential in the subgroup of patients analyzed. STOPPFrail brings a certain complementarity in other areas of therapy not covered by LESS-CHRON.

Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study.

BACKGROUND: Owing to the nature of health data, their sharing and reuse for research are limited by legal, technical, and ethical implications. In this sense, to address that challenge and facilitate and promote the discovery of scientific knowledge, the Findable, Accessible, Interoperable, and Reusable (FAIR) principles help organizations to share research data in a secure, appropriate, and useful way for other researchers. OBJECTIVE: The objective of this study was the FAIRification of existing health research data sets and applying a federated machine learning architecture on top of the FAIRified data sets of different health research performing organizations. The entire FAIR4Health solution was validated through the assessment of a federated model for real-time prediction of 30-day readmission risk in patients with chronic obstructive pulmonary disease (COPD). METHODS: The application of the FAIR principles on health research data sets in 3 different health care settings enabled a retrospective multicenter study for the development of specific federated machine learning models for the early prediction of 30-day readmission risk in patients with COPD. This predictive model was generated upon the FAIR4Health platform. Finally, an observational prospective study with 30 days follow-up was conducted in 2 health care centers from different countries. The same inclusion and exclusion criteria were used in both retrospective and prospective studies. RESULTS: Clinical validation was demonstrated through the implementation of federated machine learning models on top of the FAIRified data sets from different health research performing organizations. The federated model for predicting the 30-day hospital readmission risk was trained using retrospective data from 4.944 patients with COPD. The assessment of the predictive model was performed using the data of 100 recruited (22 from Spain and 78 from Serbia) out of 2070 observed (records viewed) patients during the observational prospective study, which was executed from April 2021 to September 2021. Significant accuracy (0.98) and precision (0.25) of the predictive model generated upon the FAIR4Health platform were observed. Therefore, the generated prediction of 30-day readmission risk was confirmed in 87% (87/100) of cases. CONCLUSIONS: Implementing a FAIR data policy in health research performing organizations to facilitate data sharing and reuse is relevant and needed, following the discovery, access, integration, and analysis of health research data. The FAIR4Health project proposes a technological solution in the health domain to facilitate alignment with the FAIR principles.

[Transcultural translation and adaptation into spanish of the questionnaire "Healthcare task difficulty (hctd) among older-adults with multimorbidity".] / Traducción y adaptación transcultural al español del cuestionario "Healthcare task difficulty (HCTD) among older-adults with multimorbidity".

OBJECTIVE: The increase in chronic diseases as a consequence of the rising life expectancy calls for tools that allow us to analyze the difficulty that patients with multimorbidity present when performing healthcare-related tasks. To this end, we carried out a cross-cultural translation and adaptation into Spanish of the questionnaire "Healthcare Task Difficulty (HCTD) among Older Adults with Multimorbidity." METHODS: Direct translation and back translation were made, followed by a synthesis and adaptation by a third translator and a panel of experts in order to guarantee the conceptual, semantic, and content equivalence between the original questionnaire and the Spanish version. Additionally, an evaluation of the comprehension of the questionnaire in Spanish was carried out in a sample of elderly patients with multimorbidity. RESULTS: The Spanish version of the HCTD questionnaire (HCTD-E) was obtained. The overall difficulty of the translators to find an equivalent expression between both languages was low. In the synthesis and adaptation part, four discrepancies were resolved (two of them were adapted in order to use a terminology closer to our health system and the other two were completed with different examples). The comprehensibility analysis was conducted in a sample of ten elderly patients with multimorbidity, and they showed an excellent comprehensibility. CONCLUSIONS: This is the first cross-cultural adaptation to Spanish of the HCTD questionnaire. The methodology used through direct translation, back-translation and adaptation by a third translator and a panel of experts demonstrated a high level of comprehensibility of the HCTD-E, which was measured with cognitive interviews in a sample of patients.

OBJETIVO: El incremento de las enfermedades crónicas como consecuencia del aumento en la esperanza de vida, hace necesario disponer de herramientas que permitan analizar la dificultad que presentan los pacientes con multimorbilidad, a la hora de realizar tareas relacionadas con la asistencia sanitaria. Con este fin, se llevó a cabo una traducción y adaptación transcultural al español del cuestionario "Healthcare Task Difficulty (HCTD) among Older Adults with Multimorbidity". METODOS: Traducción directa y retrotraducción llevadas a cabo por dos traductores, seguidas de una síntesis y adaptación por parte de un tercer traductor. Posterior creación de un panel de expertos con el fin de garantizar la equivalencia conceptual, semántica y de contenido entre la versión original y la española. A continuación, se realizó una evaluación de la comprensión del cuestionario en español en una muestra de pacientes de edad avanzada con múltiples patologías. RESULTADOS: Se obtuvo la versión española del cuestionario HCTD (HCTD-E). La dificultad global encontrada por los traductores para hallar una expresión equivalente entre ambos idiomas fue baja. En la fase de síntesis y adaptación, se resolvieron 4 discrepancias con el fin de utilizar una terminología más cercana a nuestro sistema sanitario. El análisis de comprensibilidad se efectuó sobre una muestra de 10 pacientes, mayores y con multimorbilidad en seguimiento por Medicina Interna, el cual demostró una comprensibilidad excelente. CONCLUSIONES: Se trata de la primera adaptación transcultural al español del cuestionario HCTD. La metodología utilizada mediante traducción directa, retrotraducción y adaptación por parte de un tercer traductor y un panel de expertos, ha demostrado un alto nivel de comprensibilidad de la herramienta HCTD-E medida a través de entrevistas cognitivas realizadas en una muestra de pacientes.

Validation of the LESS-CHRON criteria: reliability study of a tool for deprescribing in patients with multimorbidity.

OBJECTIVE: The 'LESS-CHRON criteria' (List of Evidence-Based Deprescribing for Chronic Patients criteria) is a newly created tool with 27 criteria to guide deprescribing. It was developed using a Delphi methodology. Each criterion consists of drugs and their indications, conditions under which deprescribing would be considered, a health variable to be monitored after deprescribing and a follow-up period. The aim of our study was to evaluate the reliability of the LESS-CHRON criteria in a population of patients with multimorbidity to determine the possible usefulness of this tool in clinical practice. METHODS: We selected chronic patients with multimorbidity from an internal medicine unit who were older than 80 years old and were alive at the time of the study. To determine interobserver reliability, each professional (internist or hospital pharmacy specialist) applied the questionnaire under the same conditions and with the same resources. To determine intraobserver reliability, each health professional applied the tool at baseline and 2 months later. We measured interobserver and intraobserver reliability using the kappa coefficient. The proportion of overall agreement was also determined. RESULTS: We obtained a moderate overall kappa (ĸ=0.46, 95% CI 0.36 to 0.55) for interobserver reliability, and good (ĸ=0.65, 95% CI 0.57 to 0.78) and moderate (ĸ=0.59, 95% CI 0.49 to 0.74) values for intraobserver reliability for the internist and pharmacist, respectively. The proportion of overall agreement was very high: 92% (range: 62%-100%) for the interobserver, and 94% (80%-100%) and 93% (63%-100%) for the internist and pharmacist, respectively. CONCLUSIONS: The LESS-CHRON criteria shows early promise as a reliable method to help guide deprescribing in patients with multimorbidity. Further, more complete testing with a larger sample of prescribers is needed.

Selection of interventions aimed at improving medication adherence in patients with multimorbidity.

OBJECTIVES: To select interventions aimed at improving medication adherence in patients with multimorbidity by means of a standardised methodology. METHODS: A modified Delphi methodology was used to reach consensus. Interventions that had demonstrated their efficacy in improving medication adherence in patients with multimorbidity or in similar populations were identified from a literature search of several databases (PubMed, EMBASE, the Cochrane Library, Center for Reviews and Dissemination, and Web of Science). 11 experts in medication adherence and/or chronic disease scored the selected interventions for appropriateness according to three criteria: strength of the evidence that supported each intervention, usefulness in patients with multimorbidity, and feasibility of implementation in clinical practice. The final set of interventions was selected according to appropriateness and agreement based on the Delphi methodology. RESULTS: 566 articles were retrieved in the literature search. Nine systematic reviews were included. 33 interventions were initially selected for evaluation by the panellists. Consensus after two Delphi rounds was reached on 16 interventions. Five interventions were categorized as educational, six as behavioural and five were related to other aspects of interest. CONCLUSIONS: The interventions selected following a comprehensive and standardized methodology, could be used to improve medication adherence in patients with multimorbidity.

Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes.

It is unknown whether the digital application of automated ICD-9-CM codes recorded in the medical history are useful for a first screening in the detection of polypathological patients. In this study, the objective was to identify the degree of intra- and inter-observer concordance in the identification of in-patient polypathological patients between the standard clinical identification method and a new automatic method, using the basic minimum data set of ICD-9-CM codes in the digital medical history. For this, a cross-sectional multicenter study with 1518 administratively discharged patients from Andalusian hospitals during the period of 2013-2014 has been carried out. For the concordance between the clinical definition of a polypathological patient and the polypathological patient classification according to ICD-9-CM coding, a 0.661 kappa was obtained (95% confidence interval (CI); 0.622-0.701) with p < 0.0001. The intraclass correlation coefficient between both methods for the number of polypathological patient categories was 0.745 (95% CI; 0.721-0.768; p < 0.0001). The values of sensitivity, specificity, positive-, and negative predictive values of the automated detection using ICD-9-CM coding were 78%, 88%, 78%, and 88%, respectively. As conclusion, the automatic identification of polypathological patients by detecting ICD-9-CM codes is useful as a screening method for in-hospital patients.

A multidisciplinary approach for patients with multiple chronic conditions: IMPACTO study.

BACKGROUND AND OBJECTIVE: The objective of the study was to evaluate the effects of a multidisciplinary intervention on the outcomes of polypathological patients (PP). METHODS: A multicenter quasi-experimental pre-post study with a 12-month follow up was performed. In-hospital, at discharge and outpatient clinics patients who met criteria of PP between March 2012 and October 2013 were included. The multidisciplinary approach was defined by 11 interventions performed by general practitioners, internal medicine physicians, team care nurses and hospital pharmacists. The primary outcome was reduction in the number of hospital admissions and days of hospitalization. Secondary outcomes included mortality and the effects of 11 interventions on mortality. RESULTS: 420 patients were included. Mean patient age was 77.3 (SD: 8.90) and average number of PP defining categories was 2.99 (SD: 1.00). Number of hospital admissions and days of hospitalization decreased significantly after intervention: 1.52 (SD: 1.35) versus 0.82 (SD: 1.29), p<0.001, and 13.77 (SD: 15.20) versus 7.21 (SD: 12.90), p<0.001 respectively. 12-month mortality was 37.7%. PP who failed to receive a structured medical visit from the internal medicine physician and educational workshops from the team care nurses had a higher risk of exitus in the next 12 months, HR: 1.68; 95% CI: 1.15-2.46, p=0.007 and HR: 2.86; 95% CI: 1.92-4.27, p<0.001, respectively. CONCLUSIONS: This multidisciplinary intervention reduced the risk of PP hospital admission and days of hospitalization. Educational workshop programs for PP and their caregivers and structured IM medical visits were associated with improvements of survival.

Novel tool for deprescribing in chronic patients with multimorbidity: List of Evidence-Based Deprescribing for Chronic Patients criteria.

AIM: To create a tool to identify drugs and clinical situations that offers an opportunity of deprescribing in patients with multimorbidity. METHODS: A literature review completed with electronic brainstorming, and subsequently, a panel of experts using the Delphi methodology were applied. The experts assessed the criteria identified in the literature and brainstorming as possible situations for deprescribing. They were also asked to assess the influence of life prognosis in each criterion. A tool was composed of the most appropriate criteria according to the strength of their evidence, usefulness in patients with multimorbidity and applicability in clinical practice. RESULTS: Out of a total of 100, 27 criteria were selected to be included in the final list. It was named the LESS-CHRON criteria (List of Evidence-baSed depreScribing for CHRONic patients), and was organized by the anatomical group of the Anatomical, Therapeutic, Chemical (ATC) classification system of the drug to be deprescribed. Each criterion contains: drug indication for which it is prescribed, clinical situation that offers an opportunity to deprescribe, clinical variable to be monitored and the minimum time to follow up the patient after deprescribing. CONCLUSIONS: The "LESS-CHRON criteria" are the result of a comprehensive and standardized methodology to identify clinical situations for deprescribing drugs in chronic patients with multimorbidity. Geriatr Gerontol Int 2017; 17: 2200-2207.

Systematic review on the use of anticholinergic scales in poly pathological patients.

PURPOSE: Anticholinergic drugs may increase the risk of cognitive and functional disorders in older patients. There are anticholinergic scales on which said risk is estimated. The objectives of this study are: to identify the scales described in literature that are applicable to polypathological patients and analyze their clinical outcomes. MATERIAL AND METHODS: A systematic review was performed. Data sources were MEDLINE, EMBASE and Web of Science which were consulted until August 2014. INCLUSION CRITERIA: (1) studies that specify the list of drugs, describe the methodology for their elaboration and how they calibrate the anticholinergic potential and (2) studies that use the scales identified as a tool to measure exposure to anticholinergic drugs in polypathological patients or those with similar characteristics. The main differences between the scales and main results on cognitive, functional and mortality status were collected. RESULTS: 25 articles were included. 10 scales were identified. For their preparation, 8 were based on literature about drugs with anticholinergic activity and/or previously published scales as well as expert opinions. Exposure to anticholinergic drugs has been linked to cognitive disorders (basically measured with Anticholinergic Risk Scale (ARS), Anticholinergic Cognitive Burden Scale (ACB) and Drug Burden Index (DBI)) and functional scale (with ARS and DBI). However, there is no clear relationship with mortality. The Anticholinergic Drug Scale was the only one that obtained no association with any of the variables studied. CONCLUSIONS: There is a great variety of scales published and applied to older patients. The clinical results are different depending on the scale used which is probably due to the different methodology in their elaboration.

[Validation of a prognostic model for polypathological patients (PP) in Primary Health Care: "PROFUND STUDY-AP"]. / Validación de un modelo pronóstico para pacientes pluripatológicos en atención primaria: Estudio PROFUND en atención primaria.

AIMS: to validate the PROFUND index in PP in Primary Health Care (PHC). DESIGN: two-year prospective multicenter study. LOCATION: three health care centers in Seville Province (Spain). SUBJECTS OF THE ASSESSMENT: PP with signed informed consent. SAMPLE: n=446 (p=20%; α=5%; ß=99%); consecutive sampling. MEASUREMENT: Dependent variable: mortality (2 years). INDEPENDENT VARIABLES: socio-demography, clinic, anthropometric, laboratory, pharmacologic prescriptions, functional, cognitive and socio-familiar evaluation and the use of health resources. INFORMATION SOURCE: interview with patients and clinical charts. STATISTICAL ANALYSIS: uni and multivariate analysis according to the variables; Accuracy was assessed in the cohort by risk terciles calibration, and discrimination power, by ROC curves. Finally, accuracy of the index was compared with that of the Charlson index. RESULTS: 446 subjects were included (53.8% men); average age was 75.44yr (Confidence interval 95% 74.58-76.31). Average of diagnostic categories was 2.37 (Confidence interval 95% 2.30-2.44). Prevalent categories were: A (64.1%), F (41.7%) and E (33.5%). Mortality within 2 years was 24.1%. Calibration in predicted/observed mortality along the three established risk strata was 16%/16.7% for PP with 0-2 points, 22%/19.5% for PP with 3-6, and 34%/36% for PP with 7 or more points (Hosmer-Lemeshow test with p=0.119). Discrimination power of PHC PROFUND's by area under the curve was (AUC) ROC was 0.622 (Confidence interval 95% 0.556-0.689; p<0.001), and that of Charlson index 0.510 (Confidence interval 95% 0.446 - 0.575; p>0.005). CONCLUSIONS: The PROFUND index is a good indicative tool in the stratification of 2-year mortality risk polypathological patients in PHC.

[Pharmacological treatment conciliation methodology in patients with multiple conditions]. / Metodología de conciliación del tratamiento farmacológico en pacientes pluripatológicos.

OBJECTIVE: To carry out a bibliographic review in order to identify the different methodologies used along the reconciliation process of drug therapy applicable to polypathological patients. DESIGN: We performed a literature review. Data sources The bibliographic review (February 2012) included the following databases: Pubmed, EMBASE, CINAHL, PsycINFO and Spanish Medical Index (IME). The different methodologies, identified on those databases, to measure the conciliation process in polypathological patients, or otherwise elderly patients or polypharmacy, were studied. Study selection Two hundred and seventy three articles were retrieved, of which 25 were selected. Data extraction Specifically: the level of care, the sources of information, the use of registration forms, the established time, the medical professional in charge and the registered variables such as errors of reconciliation. RESULTS: Most of studies selected when the patient was admitted into the hospital and after the hospital discharge of the patient. The main sources of information to be highlighted are: the interview and the medical history of the patient. An established time is not explicitly stated on most of them, nor the registration form is used. The main professional in charge is the clinical pharmacologist. Apart from the home medication, the habits of self-medication and phytotherapy are also identified. The common errors of reconciliation vary from the omission of drugs to different forms of interaction with other medicinal products (drugs interactions). CONCLUSIONS: There is a large heterogeneity of methodologies used for reconciliation. There is not any work done on the specific figure of the polypathological patient, which precisely requires a standardized methodology due to its complexity and its susceptibility to errors of reconciliation.

[Medication reconciliation on hospital admission in patients with multiple chronic diseases using a standardised methodology]. / Errores de conciliación al ingreso hospitalario en pacientes pluripatológicos mediante metodología estandarizada.

OBJECTIVES: To determine the incidence of medication errors when admitting patients with multiple chronic conditions to hospital, using a standard method. MATERIAL AND METHOD: A prospective, observational study was conducted on patients with multiple chronic conditions admitted to a tertiary hospital. The medication reconciliation was performed using the standard method considered the most suitable for these patients by an expert panel, following the Delphi methodology. The main information source used for this was the computerised clinical notes, both in primary care and in the hospital, recurring to a clinical interview if necessary. Discrepancies justified by the clinician, as well as reconciliation errors were recorded. The type of error and the pharmacological group involved were analysed and the seriousness of each one of them was assessed. RESULTS: A total of 114 patients were included, with reconciliation errors being found in 75.4% of cases. The patients had 1397 prescribed drugs, of which 234 had discrepancies that required clarification by the clinician responsible. The clinician modified the prescription in 184 of these discrepancies, which were considered reconciliation errors. The types of error were: medication omission (139), commission (9), dose, prescription or different routes (24) and by incomplete prescription (12). Anti-anaemic drugs, vitamins, and psychoanaleptics were among the pharmacotherapeutic groups most affected by the errors. CONCLUSIONS: The percentage of patients with multiple chronic conditions with errors is elevated. The development of methods particularly directed at patients with multiple chronic conditions manages to detect and decrease a high percentage of medication errors associated with changes of care levels.

[Evaluation of the appropriateness of pharmacotherapy in patients with high comorbidity]. / Evaluación de la adecuación del tratamiento farmacológico en pacientes pluripatológicos.

OBJECTIVE: [corrected] To analyze the appropriateness of pharmacotherapy and, if necessary, carry out interventions for its improvement in a cohort of patients with multiple chronic conditions. DESIGN: Descriptive, prospective study of 21 months duration. LOCATION: Hospital Universitario Virgen del Rocío. PARTICIPANTS: Patients with multiple chronic conditions included in a project for integrated healthcare. METHODS: The primary endpoint was the number of inappropriate treatments. To evaluate the appropriateness of pharmacotherapy, the specialist in hospital pharmacy followed a standardized procedure consisting of the Medication Appropriateness Index (MAI) questionnaire, modified as an implicit method, and the list of criteria of the Screening Tool of Older Person's Potentially Inappropriate Prescription/Screening Tool to Alert doctors to the Right (STOPP-START) as an explicit method. RESULTS: A total of 244 patients were included, with a mean age of 76 ± 8 (± SD) years. Half (50%) of the patients were men. The mean number of diagnoses per patient was 8 ± 3 (± SD) and 12 ± 4 drugs (± SD). A total of 840 inappropriate treatments were detected, most of them being due to the presence of interactions. The STOPP criteria most not complied with, were duplicate drug class, and prolonged use of benzodiazepines with long half-life or long-acting metabolites, and START for ACE inhibitors in chronic heart failure and statins and antiplatelets in diabetes mellitus, if one or more coexisting risk factors. CONCLUSIONS: We detected a large number of inappropriate treatments. This highlights the importance of evaluating the appropriateness of drug treatment in patients with multiple conditions. It is advisable to use a combined pharmacist intervention strategy that includes both an implicit method and an explicit method.

[Suitability of pharmacological treatment in patients with multiple chronic conditions]. / Adecuación del tratamiento farmacológico en pacientes pluripatológicos.

OBJECTIVE: To identify tools for measuring the appropriateness of drug therapy useful in patients with multiple chronic conditions. DESIGN: We performed a literature review. DATA SOURCES: The following database were consulted (December 2009): Pubmed, EMBASE, CINAHL, PsycINFO and Spanish Medical Index (IME) to detect tools for measuring the appropriateness of treatment in patients with multiple chronic conditions, or otherwise elderly or polypharmacy. STUDY SELECTION: Studies were identified both qualitative and quantitative methodology, both theoretical and field work, both original and revised work and included work from all areas of the health system. 108 articles were retrieved, of which we selected 59. The consultation of their references include 20 jobs allowed, resulting in a total of 59 articles. DATA EXTRACTION: Of all the tools identified, the researchers performed a selection of those with possible utility for classified PP. The articles were classified into implicit and explicit methods and the characteristics of the field works were tabulated. RESULTS: We identified two implicit methods (MAI and Hamdy) and 6 explicit methods (Beers criteria, IPET, STOPP/START, ACOVE, CRIME and NORGEP). None was specific to patients with multiple chronic conditions. The questionnaire MAI, the Beers criteria and its modifications are most often used in literature. The advantages of explicit criteria means that many of them have been developed recently. CONCLUSION: There are several tools to measure the appropriateness and none of them has been designed for a population of patients with multiple chronic conditions yet, which by its nature requires a specific approach spreads.

Selection of tools for reconciliation, compliance and appropriateness of treatment in patients with multiple chronic conditions.

BACKGROUND: The healthcare models developed for patients with multiple chronic diseases agree on the need for improving drug therapy in these patients. The issues of patient compliance, appropriateness of prescriptions and the reconciliation process are of vital importance for patients receiving multiple drug treatment. OBJECTIVE: To identify and select the most appropriate tools for measuring treatment compliance and appropriateness in multiple-disease patients, as well as the best reconciliation strategy. METHODS: The study used the Delphi methodology. We identified compliance and appropriateness questionnaires and scales, as well as functional organisation models for reconciliation that had been used in patients with multiple chronic conditions. Based on the strength of the evidence, their usefulness in these patients and ease of use, the panel selected the most appropriate ones. RESULTS: We selected 46 indications for the panel: 5 on compliance, 20 on appropriateness, and 31 on reconciliation. The tool considered most appropriate and with a high degree of agreement was the "Adherence to Refills and Medication Scale" questionnaire. For appropriateness, the Medication Appropriateness Index questionnaire was considered appropriate. The STOPP/START criteria were the most appropriate. The greatest degree of agreement regarding reconciliation was on the information that needed to be collected and the variables considered as discrepancies. CONCLUSIONS: The "Adherence to Refills and Medication Scale" questionnaire for compliance, the STOPP/START criteria, the Medication Appropriateness Index questionnaire for appropriateness and the development of a specific strategy for reconciliation were considered appropriate for the assessment of drug therapy in patients with multiple chronic conditions.