| Literature DB >> 35945723 |
Abstract
Disease management programs (DMPs) have shown great potential for optimizing care of chronically ill patients, thereby improving health outcomes and patient satisfaction. This had led to an overall reduction in healthcare costs. Longer life expectancy has led to increased utilization of healthcare facilities, which may lead to a rise in costs. DMPs are an effective means of improving care and compliance and ultimately curbing inappropriate resource utilization. The present study reviews different definitions proposed for disease management, its components, the evidence behind it, and the conditions for success. It also examines heart failure management as an example of a DMP, exploring the complexity surrounding implementation of guideline-based approaches in patient care. A literature search on DMPs was conducted using PubMed, MEDLINE, and Google Scholar, including heart failure management programs from articles published from 2000 to 2020. This reviewed emphasized on the management of important biomarkers and cardiovascular indicators such as glycemic levels, urine output to improve efficacy of disease management programme during patient treatment. The review concluded that diseases like heart failure can be combat by improving the quality of care for patients and reducing the burden on the public healthcare system. Moreover, DMPs have proved to be an effective way of improving care and compliance with treatment.Entities:
Mesh:
Year: 2022 PMID: 35945723 PMCID: PMC9351896 DOI: 10.1097/MD.0000000000029805
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Effect of intervention in a heart failure clinic: results of non-randomized studies.
| Author, year | N (Intervention/Control group) | Intervention | Follow-up (months) | Results (intervention vs usual care) |
|---|---|---|---|---|
| Akosah, 2002[ | 38/63 | Team management, medical optimization, education | 12 | Lower combined endpoint hospitalization/mortality. Higher doses of ACE-inhibitors and b-blockers |
| Azevedo, 2002[ | 157/182 | Physician directed clinic, medical optimization | 12 | Lower mortality, fewer hospitalizations |
| Galatius, 2002[ | 283/NA | Team management, medical optimization, education | 12 | Fewer hospitalization |
| Holst, 2001[ | 42/NA | Team management. Medical optimization, education | 6 | Fewer hospitalizations, improved functional capacity, QOL improved |
| Ramahi, 2000[ | 133/NA | Team management, medical optimization, education | 12 | Higher rates of appropriate drugs use. Improved functional status |
| Riegel, 2000[ | 120/120 | Nurse education, home visits, dietician, pharmacist counseling | 6 | No overall effect on hospitalization. Hospitalizations reduced in function class II patients |
| Whellan, 2001[ | 117/NA | Team management Medical optimization, education | 10 | Fewer hospitalizations, higher rate of b-blocker use |
Some studies emphasizing on the management of important indicators to prevent HF.
| Author | Year of Publication | Causative Factor | Disease Management Approaches for HF |
|---|---|---|---|
| Chow et al[57] | 2017 | Biomarkers presence (galectin-3, natriutic peptides, sensitive troponins, cyctatin-C, tumorgenicity 2 soluble suppressor, interleukin 6) | Measurement of biomarkers concentration as noninvasive management approach aid determining and monitoring disease severity. Including monitoring of novel biomarkers such as “HFpEF and HFeEF” ON ECG to monitor diastolic dysfunctioning. |
| Konstam et al[58] | 2018 | Hypoxia and Chronic lung diseases, chronic thromboembolic activity, pulmonary arterial hypertension | The management of acute right heart failure involves volume management at initial stages to reduce left atrial pressure and pulsatile RV loading and congestion. Stepped pharmacological care include urine output (UO) > 5L/d to decline active diuretic regimen (from randomization to 96hours daily), UO3-4 L/d to continue active diuretic regimen and UO <3 L/d to monitor diuretic grid with 24 hour UO assessment. |
| Dunlay et al[59] | 2019 | Type 2 Diabetes Mellitus | the risk of nonfatal myocardial infarction (MI) can be reduced with control of glycemic levels, use of medication agents including biguanides, sulfonylureas, insulin, GLP-1 (glucagon-like peptide-1) receptor agonists and thiazolidinedione’s |
| Rossignol et al[60] | 2019 | Smoking, excessive alcohol consumption, sedentary lifestyle, and obesity | Use of telemedicine programs to remotely evaluate patient condition with the aid of multi-disciplinary teams. ICALOR programme implementation, optimization of symptom-alleviating and life- saving HFrEF 377 pharmacological treatments |
| Healy et al[61] | 2019 | Lifestyle patterns | More recent approach for DMPs included monitoring of patients with HF-PEF, stable patients and attention on requirement only to be given to the “well HF patient” to ensure optimal care is put in place at that stage reducing the chances of disease progression. A central aspect of DMPs should include identifying these patients at risk and preventing the natural decline of disease to the point of admission to hospital which is seen as a critical time point of the disease. |
Randomized trials evaluating the effect of disease management programs on hospital readmission of older patients with heart failure.
| Author, Year | O/F | Main findings: intervention vs usual carec |
|---|---|---|
| DIAL, 2003[ | A,B,C (1.2 years) | SI produced a 20% relative risk reduction on the combined end-point (HF hospital readmission or death, 26.3% vs 31%, P ¼ 0:02). SI decreased the number of patients with HF hospital readmission. |
| Laramee, 2003[ | A,B (3 months) | readmission rates were equal for both groups (37%). Total inpatient and outpatient median costs and readmission median cost were reduced 14% and 26%, respectively, for the SI group. Subgroup analysis of patients who lived locally and saw a cardiologist showed a significant decrease in HF readmissions for the SI group. |
| Stromberg, 2003[45] | B,C (3 & 2 month) | There were fewer patients with the combined end-point (readmission or death) after 12 months in the SI group compared to the control group. The SI group had fewer re-admissions (33 vs 56, P ¼0.047) and days in hospital (350 vs 592, P ¼ 0:045) during the first 3 months. After 12 months the SI was associated with a 55% decrease in admissions/patient/month and fewer days in hospital/ patient/month. |
| Doughty, 2002[46] | A,B,C (1 year) | SI reduced total hospital readmissions and total bed days. The main effect of the intervention was attributable to the prevention of multiple re-admissions. SI improved quality of life |
| Harrison, 2002[47] | B (3 months) | In the SI group the percentage of patients readmitted was 23 vs 31 in the US group, 35 patients did not complete the study to 3 months. |
| Kasper, 2002[48] | A, B, C (6 months) | SI reduced the Combined endpoint (HF hospital readmission or death: 43 re-admissions and 7 deaths vs 59 and 13, The quality-of-life score, percentage of patients on target vasodilator therapy and percentage of patients Compliant with diet recommendations were significantly better in the SI group. |
| Krumholz, 2002[49] | A, B, C (1 year) | SI reduced the Combined endpoint (hospital readmission or death 25 vs 36. SI obtained a 39% decrease in the total number of readmissions. After adjusting for clinical and demographic characteristics, the SI group had a significantly lower risk of readmission. |
| McDonald, 2002[50] | A, C (3 months) | SI reduced the combined end-point (HF hospital readmission or HF death. HF readmission was far less frequent in the SI group (25.5% vs 3.9%) |
| Riegel, 2002[51] | A,B (3 & 6 months) | The HF hospitalization rate was 47.5% lower in the intervention group at 3 months and 47.8% lower at 6 months. HF hospital days were significantly lower in the intervention group at 6 months. A cost saving was realized even after intervention costs were deducted. There was no evidence of cost shifting to the outpatient setting. Patient satisfaction with care was higher in the intervention group |
| Stewart, 2002[52] | B,C (4.2 years) | There were significantly fewer unplanned readmissions and fewer combined end-points (unplanned readmission or death): a mean of 0.21 vs 0.37 events per patient per month. Mean event-free survival was more prolonged (7 vs 3 months). Assignment to intervention was both and independent predictor of event-free survival. |
| Blue, 2001[53] | A,B,C (1 year) | SI reduced the combined end-point (HF hospital admission or death. There were fewer readmissions for any reason (86 vs 114, P ¼ 0:018), fewer admissions for HF (19 vs 45, |