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.

Correction: A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study.

[This corrects the article DOI: 10.2196/27990.].

Physiotherapy in palliative medicine: patient and caregiver wellness.

OBJECTIVES: Despite the demonstrated efficacy of physiotherapy in palliative care programmes, there are scarce data of its real-life impact on patients' and caregivers' wellness and stress. Our aim was to assess effectiveness of a 30-day physiotherapy programme in psychological wellness and health-related quality of life (HRQoL) of patients with advanced chronic diseases or cancer and in their caregivers' stress. METHODS: Quasiexperimental before-after study applying personalised kinesitherapy, exercise with curative effects, respiratory physiotherapy, therapeutic massages and ergotherapy. Psychological wellness, HRQoL and caregiver's strain outcomes were measured. RESULTS: 207 patients (60% men, with a mean age of 73.6±12 years) were included; 129 (62.3%) with advanced cancer, and the remaining 78 with advanced chronic diseases. Psychological wellness (Emotional Stress Detection Tool decreased from 12.4±3 to 11±3; p<0.0001), caregiver's strain (Caregiver Strain Index decreased from 8.5±3.2 to 7.9±3.5; p<0.0001) and HRQoL (WHO-BREF physical health domain increased from 8.3±2.6 to 9.4±2.9; p<0.0001) showed a significant improvement after the physiotherapy programme. Global satisfaction with the physiotherapy intervention was also high (Client Satisfaction Questionnaire-8 of 28.3±3.3 points). CONCLUSIONS: A personalised physiotherapy programme incorporated to integral palliative care improved psychological wellness, HRQoL and caregivers' strain of patients with advanced chronic diseases and cancer.

A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study.

BACKGROUND: Due to an increase in life expectancy, the prevalence of chronic diseases is also on the rise. Clinical practice guidelines (CPGs) provide recommendations for suitable interventions regarding different chronic diseases, but a deficiency in the implementation of these CPGs has been identified. The PITeS-TiiSS (Telemedicine and eHealth Innovation Platform: Information Communications Technology for Research and Information Challenges in Health Services) tool, a personalized ontology-based clinical decision support system (CDSS), aims to reduce variability, prevent errors, and consider interactions between different CPG recommendations, among other benefits. OBJECTIVE: The aim of this study is to design, develop, and validate an ontology-based CDSS that provides personalized recommendations related to drug prescription. The target population is older adult patients with chronic diseases and polypharmacy, and the goal is to reduce complications related to these types of conditions while offering integrated care. METHODS: A study scenario about atrial fibrillation and treatment with anticoagulants was selected to validate the tool. After this, a series of knowledge sources were identified, including CPGs, PROFUND index, LESS/CHRON criteria, and STOPP/START criteria, to extract the information. Modeling was carried out using an ontology, and mapping was done with Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT; International Health Terminology Standards Development Organisation). Once the CDSS was developed, validation was carried out by using a retrospective case study. RESULTS: This project was funded in January 2015 and approved by the Virgen del Rocio University Hospital ethics committee on November 24, 2015. Two different tasks were carried out to test the functioning of the tool. First, retrospective data from a real patient who met the inclusion criteria were used. Second, the analysis of an adoption model was performed through the study of the requirements and characteristics that a CDSS must meet in order to be well accepted and used by health professionals. The results are favorable and allow the proposed research to continue to the next phase. CONCLUSIONS: An ontology-based CDSS was successfully designed, developed, and validated. However, in future work, validation in a real environment should be performed to ensure the tool is usable and reliable.

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.

Reliability of a short questionnaire for the diagnosis of severe disability in polypathological patients attended in hospital setting.

BACKGROUND: A comprehensive evaluation of polypathological patients (PP) should always include a functional evaluation. For this purpose, a modified version of the Barthel Index (BI) is the most applied questionnaire, and it consists of a 10-variable scale. The aim of this study was to develop a screening and confirmation tool to diagnose high disability with the fewest number of dimensions of the BI as possible. METHOD: This present cross-sectional observational multicentre study included PP attended in 36 Spanish hospitals that were divided into two geographical areas (Western and Eastern). The Western area was considered to be the derivation subgroup of PP, and the Eastern area was the validation subgroup. Complete disability for each item (value of 0) was assessed for the diagnosis of severe disability. Diagnostic validity indices (sensitivity, specificity, negative and positive predictive values [NPV and PPV, respectively], and negative and positive likelihood ratios [NLR and PLR, respectively]) were determined for the derivation subgroup. The dimensions with the best diagnostic validity indices were then used to evaluate the validation subgroup. RESULTS: The analysis included 1521 PP, 753 PP from the Western area and 768 PP from the Eastern area. Needing complete help for bathing showed the highest NPV and lowest NLR in the derivation/validation subgroups (NPV 96.87/95.54, NLR 0.07/0.13). Being disabled for feeding alone showed high PPV and PLR values (PPV 97.97/95.65, PLR 109.25/49.62), as did disability for transfers (PPV 98.48/97.96, PLR 143.36/107.68). In addition, complete disability for feeding and transfers had the best PPV and PLR in both subgroups (PPV 100/100, PLR X/0). CONCLUSIONS: A two-dimension mini-Barthel Index may represent a reliable diagnostic test for severe disability in PP.

Effects of renin-angiotensin blockers/inhibitors and statins on mortality and functional impairment in polypathological patients.

BACKGROUND: Frail and polypathological patients (PP) are often undertreated with evidence-based cardiovascular drugs, as their benefits are uncertain in this population. OBJECTIVES: To determine the effects of treatment with renin-angiotensin system blockers/inhibitors (ACEI/ARB), statins and/or beta-blockers on survival rates and functional decline in PP with evidence-based clinical indications for treatment with any of these drug families. METHOD: Prospective observational multicentre cohort study with a 12-month follow-up period. We selected PP with any condition of the following: chronic heart failure, coronary heart disease, chronic renal disease, cerebrovascular disease, peripheral artery disease, diabetes mellitus with any visceral involvement, hypertension, and dyslipidaemia. Clinical, functional (Barthel index), socio-familial risk data and drug prescriptions were measured at baseline. Multivariate Cox proportional hazards and logistic regression models were used to identify variables independently associated with survival and functional decline. RESULTS: The analysis included 1260 PP. The mean age was 79±9.5 years. The mortality rate was 34.5%. Statin (aHR 0.671; P=0.001), beta-blocker plus statin (aHR 0.645; P=0.007), ACEI/ARB plus statin (aHR 0.680; P=0.002), or combined ACEI/ARB plus statin plus beta-blocker (aHR 0.541; P=0.000) prescriptions were associated with longer survival times. Additionally, PP whose Barthel index was ≥60 showed a lower risk of disability progression if treated with statins (aOR=0.476; P=0.000), or their combinations, mainly with ACEI/ARB plus beta-blockers (aOR 0.563; P=0.031). CONCLUSIONS: The prescription of statins, alone or in combination with other drugs, may impact the survival and functional decline in polypathological patients. Further prospective blinded randomised assays are needed to confirm these observations.

Perceived quality of healthcare in a multicenter, community-based population of polypathological patients.

The objective was to determine perceived quality of care (PQC) in patients with multiple chronic conditions, whose care is structured in Andalusia (Spain) under polypathological patients (PP) care process, and identifying aspects for its improvement. The study was a community-based cross-sectional survey carried out in 4 primary care centers (which attended a total of 62,702 adults, of them, 662 were actively identified as PP). Finally, 461 PP and their caregivers were interviewed (69% of eligible population) including assessment of PQC following SERVQUAL model, clinical and demographical data. On a five-point Likert scale (from 1, 'much worse than expected'; to 5, 'much better'), PQC rated 3.68±0.59 (±S.D.). Independent PQC predictors were: empathy for family physician, identifying nurses, presence of peripheral artery disease or diabetes mellitus with vascular complications, and not having functional limitations. In this population-based survey, PP attended at primary care have an acceptable PQC. Measures aimed to lessening functional deterioration, supporting dependent patients, and improving relationship between PP and their healthcare professionals could increase PQC.

[Reliability of different criteria in identifying end-of-life trajectory of patients with chronic medical diseases. PALIAR Project]. / Precisión de los criterios definitorios de pacientes con enfermedades médicas no neoplásicas en fase terminal. Proyecto PALIAR.

INTRODUCTION: It is a challenge to reliably identify the end-of-life trajectory in patients with advanced-stage chronic medical conditions. This makes advanced supportive care planning and transition from survival to comfort objectives more difficult in these emergent patient populations. OBJECTIVES: To evaluate the sensitivity (Se), specificity (Sp), positive predictive values (PPV) and negative (NPV), and validity index (IV) of NHO criteria for terminal medical conditions, PPI and ECOG in patients with advanced heart, lung, liver, kidney and/or neurological diseases, and to build and validate an accurate index to determine this border-line. METHODS: A multicentre prospective cohort study, with inclusion of patients with the predefined advanced medical diseases. Demographic, clinical, care, stratification and staging of disease(s), functional, analytical, NHO criteria, ECOG, PPS and PPI data collection; The end-point (death) will be assessed 180 days after inclusion. Analysis of Se, Sp, PPV, NPV, and IV of the NHO criteria, ECOG scale and PPI at 30, 60, 90, 120, 150 and 180 days. Derivation of PALIAR Index, after multivariate analysis and appropriate weighting of risk factors (beta of risk factor/lowest beta of the model), and validation in the validation cohort, and in the historical PROFUND cohort. RESULTS: The project is still ongoing, with 50 investigators from 33 hospitals throughout Spain, who have already included 1138 patients (92.5% during hospital admissions, 51.4% of them are male, with a mean age of 78.5 years). Mean inclusion chronic diseases were 1.4 per patient (44.5% of patients suffered chronic neurological diseases, 38.6% with heart failure, 34.2% with lung diseases, 12% with liver diseases, and 6.5% with renal diseases). Around 69% fulfilled the criteria of polypathological patients (mean Charlson index 3.4), and were prescribed around 8 drugs chronically. Mean Barthel index was 40 points, and 77% of them were dependent on a caregiver. Around 46% were ECOG-PS stage III or IV, and mean PPS score was 45 points. CONCLUSION: The availability of an accurate and powerful tool that could enable us to identify the end-of-life trajectory of these patients could allow us to establish specific intervention strategies for these populations. Therefore, and with these preliminary data, we believe that the PALIAR PROJECT will answer with rigour the questions and objectives of the study.

[Overload felt by the figure of the main caregiver in a cohort of patients with multiple pathologies]. / Sobrecarga sentida por la figura del cuidador principal en una cohorte de pacientes pluripatológicos.

OBJECTIVE: To determine the profile of the main caregiver (MC) and the factors associated with her/his care burden, in a multi-centre cohort of patients with multiple pathologies (PMP). DESIGN: Multi-centre cross-sectional study. SETTING: Four health districts in the Virgen del Rocío University Hospitals Health Area, Seville, Spain. PARTICIPANTS: The PMP cohort was created by checking all the patients who satisfied the health department criteria for PMP (2002): patients suffering from chronic diseases in 2 or more of the 7 clinical categories defined. MAIN MEASUREMENTS: The profile of PMP caregiver was determined for all patients. The caregiver strain index (CSI) was determined by the index of care stress (ICS). Predictive factors were analysed by the Student t, ANOVA, and Pearson's tests. Multivariate analysis was performed by a forward stepwise linear regression model. RESULTS: The interview was attended by 461 (69%) out of 662 eligible PMP. Of these, 293 (63.6%) had an MC whose mean age was 62 (15) years; 80% of them were women. First-degree relatives made up 88% of caregivers, with spouses 49.7% of them (n=146). In 41.5%, the CSI was >7 points (mean CSI was 5.35 [3.5]). This was higher in those caring for PMP with neurological illnesses (7 [3.2 vs 4.5 [3.3]; P=.0001). The CSI was compared directly with the medical vulnerability of the PMP (R=0.37; P=.001), cognitive deterioration on the Pfeiffer scale (PS) (R=0.4; P=.0001), and inversely with functional status on Barthel's scale (BS) (R=-0.67; P=.0001). Patient's age (P=.03), his/her medical vulnerability (P=.016) and functional (P< .0001) and cognitive (P=.019) deterioration were independently associated with the CSI. CONCLUSIONS: The profile of the MC of the PMP cohort corresponded mainly to first-degree female relatives around sixty years old. The burden of care was high in more than a third of them. Predictive factors were age, medical vulnerability, and the functional and cognitive deterioration of the PMP.