Symptoms of Acute Myocardial Infarction as Described in Calls to Tele-Nurses and in Questionnaires: A Mixed-Methods Study.

BACKGROUND: Patient-reported symptoms of acute myocardial infarction (MI) may be affected by recall bias depending on when and where symptoms are assessed. AIM: The aim of this study was to gain an understanding of patients' symptom description in more detail before and within 24 hours after a confirmed MI diagnosis. METHODS: A convergent parallel mixed-methods design was used to examine symptoms described in calls between the tele-nurse and the patient compared with symptoms selected by the patient from a questionnaire less than 24 hours after hospital admission. Quantitative and qualitative data were analyzed separately and then merged into a final interpretation. RESULTS: Thirty patients (median age, 67.5 years; 20 men) were included. Chest pain was the most commonly reported symptom in questionnaires (24/30). Likewise, in 19 of 30 calls, chest pain was the first complaint mentioned, usually described together with the symptom onset. Expressions used to describe symptom quality were pain, pressure, discomfort, ache, cramp, tension, and soreness. Associated symptoms commonly described were pain or numbness in the arms, cold sweat, dyspnea, weakness, and nausea. Bodily sensations, such as feeling unwell or weak, were also described. Fear and tiredness were described in calls significantly less often than reported in questionnaires ( P = .01 and P = .02), whereas "other" symptoms were more often mentioned in calls compared with answers given in the questionnaire ( P = .02). Some symptoms expressed in the calls were not listed in the questionnaire, which expands the understanding of acute MI symptoms. The results showed no major inconsistencies between datasets. CONCLUSION: Patients' MI symptom descriptions in tele-calls and those reported in questionnaires after diagnosis are comparable and convergent.

Clinical Frailty Scale classes are independently associated with 6-month mortality for patients after acute myocardial infarction.

AIMS: Data on the prognostic value of frailty to guide clinical decision-making for patients with myocardial infarction (MI) are scarce. To analyse the association between frailty classification, treatment patterns, in-hospital outcomes, and 6-month mortality in a large population of patients with MI. METHODS AND RESULTS: An observational, multicentre study with a retrospective analysis of prospectively collected data using the SWEDEHEART registry. In total, 3381 MI patients with a level of frailty assessed using the Clinical Frailty Scale (CFS-9) were included. Of these patients, 2509 (74.2%) were classified as non-vulnerable non-frail (CFS 1-3), 446 (13.2%) were vulnerable non-frail (CFS 4), and 426 (12.6%) were frail (CFS 5-9). Frailty and non-frail vulnerability were associated with worse in-hospital outcomes compared with non-frailty, i.e. higher rates of mortality (13.4% vs. 4.0% vs. 1.8%), cardiogenic shock (4.7% vs. 2.5% vs. 1.9%), and major bleeding (4.5% vs. 2.7% vs. 1.1%) (all P < 0.001), and less frequent use of evidence-based therapies. In Cox regression analyses, frailty was strongly and independently associated with 6-month mortality compared with non-frailty, after adjustment for age, sex, the GRACE risk score components, and other potential risk factors [hazard ratio (HR) 3.32, 95% confidence interval (CI) 2.30-4.79]. A similar pattern was seen for vulnerable non-frail patients (fully adjusted HR 2.07, 95% CI 1.41-3.02). CONCLUSION: Frailty assessed with the CFS was independently and strongly associated with all-cause 6-month mortality, also after comprehensive adjustment for baseline differences in other risk factors. Similarly, non-frail vulnerability was independently associated with higher mortality compared with those with preserved functional ability.

A systematic approach for introduction of novel treatments to a chronic patient group: sacubitril-valsartan as a case study.

PURPOSE: To develop a model for systematic introduction and to test the feasibility in a chronic disease population. We also investigated how the approach was received by the patients. METHODS AND RESULTS: The systematic introduction approach is a seven-step procedure: step 1, define a few main criteria; step 2, primary scan patients with the one or two main criteria using computerized medical records/databases/clinical registries; step 3, identify patients applying the other predefined criteria; step 4, evaluate if any examinations/laboratory test updates are required; step 5, summon identified patients to the clinic with an information letter; step 6, discuss treatment with the patient and prescribe if appropriate; and step 7, follow up on initiated therapy and evaluate the applied process. The model was tested in a case study during introduction of the new drug sacubitril-valsartan in a heart failure population. In total, 76 out of 1924 patients were identified to be eligible for sacubitril-valsartan and summoned to the clinic to discuss treatment. Patient experiences with the approach were investigated in an interview study with general inductive approach using qualitative content analysis. This resulted in three final categories: a good approach, role of the information letter, and trust in care. CONCLUSIONS: The systematic introduction approach ensures that strict criteria are used in the selection process and that a treatment can be implemented in eligible patients within a specified population with limited resources and time. The model was effective in our case study and maintained the patient's confidence in healthcare.

Patients' experiences of person-centred integrated heart failure care and palliative care at home: an interview study.

OBJECTIVES: Patients with severe heart failure (HF) suffer from a high symptom burden and high mortality. European and Swedish guidelines for HF care recommend palliative care for these patients. Different models for integrated palliative care and HF care have been described in the literature. No studies were found that qualitatively evaluated these models. The purpose of this study is to describe patients' experiences of a new model of person-centred integrated HF and palliative care at home. METHOD: Interviews were conducted with 12 patients with severe HF (New York Heart Association class IIIâ€"IV) and included in the research project of Palliative advanced home caRE and heart FailurE caRe (PREFER). Qualitative content analysis was used for data analysis. RESULTS: Two themes and a total of five categories were identified. The first theme was feeling secure and safe through receiving care at home with the categories: having access to readily available care at home, being followed up continuously and having trust in the team members' ability to help. The second theme was being acknowledged as both a person and a patient, with the following two categories: being met as a person, participating in decisions about one's care and receiving help for symptoms of both HF and comorbidities. CONCLUSIONS: Person-centred integrated HF and palliative care provides a secure environment and holistic care for patients with severe HF. This approach is a way to improve the care management in this population. TRIAL REGISTRATION NUMBER: NCT01304381; Results.

Areas for quality improvements in heart failure care: quality of care from the family members' perspective.

BACKGROUND: The complex needs of people with chronic heart failure (HF) place great demands on their family members, and it is important to ask family members about their perspectives on the quality of HF care. OBJECTIVE: To describe family members' perceptions of quality of HF care in an outpatient setting. METHODS: A cross-sectional study using a short form of the Quality from Patients' Perspective (QPP) questionnaire for data collection. The items in the questionnaire measure four dimensions of quality, and each item consists of both the perceived reality of the care and its subjective importance. The study included 57 family members of patients with severe HF in NYHA class III-IV. RESULTS: Family members reported areas for quality improvements in three out of four dimensions and in dimensionless items. The lowest level of perceived reality was reported for treatment for confusion and loss of appetite. Treatment for shortness of breath, access to the apparatus and access to equipment necessary for medical care were the items with the highest subjective importance for the family members. CONCLUSION: Family members identified important areas for quality improvement in the care for patients with HF in an outpatient setting. In particular, symptom alleviation, information to patients, patient participation and access to care were identified as areas for improvements. Thus, measuring quality from the family members' perspective with the QPP might be a useful additional perspective when it comes to the planning and implementation of changes in the organisation of HF care.

Symptoms and delay times during myocardial infarction in 694 patients with and without diabetes; an explorative cross-sectional study.

BACKGROUND: In myocardial infarction (MI) a short pre-hospital delay, prompt diagnosis and timely reperfusion treatment can improve the prognosis. Despite the importance of timely care seeking, many patients with MI symptoms delay seeking medical care. Previous research is inconclusive about differences in symptom presentation and pre-hospital delay between patients with and without diabetes during MI. The aim of this study was to describe symptoms and patient delay during MI in patients with and without diabetes. METHODS: Swedish cross-sectional multicentre survey study enrolling MI patients in 5 centres within 24 h from admittance. RESULTS: Chest pain was common in patients both with and without diabetes and did not differ after adjustment for age and sex. Patients with diabetes had higher risk for shoulder pain/discomfort, shortness of breath, and tiredness, but lower risk for cold sweat. The three most common symptoms reported by patients with diabetes were chest pain, pain in arms/hands and tiredness. In patients without diabetes the most common symptoms were chest pain, cold sweat and pain in arms/hands. Median patient delay time was 2 h, 24 min for patients with diabetes and 1 h, 15 min for patients without diabetes (p = 0.024). CONCLUSION: Chest pain was common both in patients with and without diabetes. There were more similarities than differences in MI symptoms between patients with and without diabetes but patients with diabetes had considerably longer delay. This knowledge is important not only for health care personnel meeting patients with suspected MI, but also for the education of people with diabetes.

The Process of Care-seeking for Myocardial Infarction Among Patients With Diabetes.

BACKGROUND: People with diabetes have a higher risk for myocardial infarction (MI) than do people without diabetes. It is extremely important that patients with MI seek medical care as soon as possible after symptom onset because the shorter the time from symptom onset to treatment, the better the prognosis. OBJECTIVE: The aim of this study was to explore how people with diabetes experience the onset of MI and how they decide to seek care. METHODS: We interviewed 15 patients with diabetes, 7 men and 8 women, seeking care for MI. They were interviewed 1 to 5 days after their admission to hospital. Five of the participants had had a previous MI; 5 were being treated with insulin; 5, with a combination of insulin and oral antidiabetic agents; and 5, with oral agents only. Data were analyzed according to grounded theory. RESULTS: The core category that emerged, "becoming ready to act," incorporated the related categories of perceiving symptoms, becoming aware of illness, feeling endangered, and acting on illness experience. Our results suggest that responses in each of the categories affect the care-seeking process and could be barriers or facilitators in timely care-seeking. Many participants did not see themselves as susceptible to MI and MI was not expressed as a complication of diabetes. CONCLUSIONS: Patients with diabetes engaged in a complex care-seeking process, including several delaying barriers, when they experienced symptoms of an MI. Education for patients with diabetes should include discussions about their increased risk of MI, the range of individual variation in symptoms and onset of MI, and the best course of action when possible symptoms of MI occur.

Longer pre-hospital delay in first myocardial infarction among patients with diabetes: an analysis of 4266 patients in the northern Sweden MONICA Study.

BACKGROUND: Reperfusion therapy reduces both morbidity and mortality in myocardial infarction, but the effectiveness depends on how fast the patient receives treatment. Despite the time-dependent effectiveness of reperfusion therapy, many patients with myocardial infarction have delays in seeking medical care. The aim of this study was to describe pre-hospital delay in a first myocardial infarction among men and women with and without diabetes and to describe the association between pre-hospital delay time and diabetes, sex, age, symptoms and size of residential area as a proxy for distance to hospital. METHODS: This population based study was based on data from 4266 people aged 25-74 years, with a first myocardial infarction registered in the Northern Sweden MONICA myocardial infarction registry between 2000 and 2008. RESULTS: The proportion of patients with delay times ≥ 2 h was 64% for patients with diabetes and 58% for patients without diabetes. There was no difference in delay time ≥ 2 h between men and women with diabetes. Diabetes, older age and living in a town or rural areas were factors associated with pre-hospital delay times ≥ 2 h. Atypical symptoms were not a predictor for pre-hospital delay times ≥ 2 h, OR 0.59 (0.47; 0.75). CONCLUSIONS: A higher proportion of patients with diabetes have longer pre-hospital delay in myocardial infarction than patients without diabetes. There are no differences in pre-hospital delay between men and women with diabetes. The largest risk difference for pre-hospital delay ≥ 2 h is between women with and without diabetes. Diabetes, older age and living in a town or rural area are predictors for pre-hospital delay ≥ 2 h.