| Literature DB >> 35020478 |
Erik Hefti1,2, Benjamin Wei2, Kristen Engelen2.
Abstract
Introduction: Avoidable hospital admissions put increased pressure on already strained health care resources, causing emotional and financial distress for patients and their families while taxing the health system. Pharmacist involvement in patient care has been shown to improve health care outcomes. Telepharmacy allows for personalized interaction and access to pharmacy services in a flexible format. The primary aim of this report is to explore the impact that access to a personalized telepharmacy service has on the hospital admission rate in an outpatient population before and during the COVID-19 pandemic. Materials andEntities:
Keywords: hospital admission rates; medication therapy management; outcomes; outpatient; telehealth; telepharmacy
Mesh:
Year: 2022 PMID: 35020478 PMCID: PMC9508445 DOI: 10.1089/tmj.2021.0420
Source DB: PubMed Journal: Telemed J E Health ISSN: 1530-5627 Impact factor: 5.033
Possible Interventions That Can Be Documented by the Pharmacist for Each Medication
| ADHERENCE ISSUES | FINANCIAL ISSUES | ||
|---|---|---|---|
| SKILLS/UNDERSTANDING | SOCIAL FACTORS | COST/SIDE EFFECTS/ACCESS | |
| A challenge managing their multiple providers | A concern with the monitoring of their treatment | A challenge with access to care | Recommended a switch to a generic alternative |
| A health literacy issue | A lack of motivation | A challenge with continuity of care | Recommended a switch to a 90-day supply |
| A lack of knowledge about their illness | A relationship challenge with their provider | A challenge with the availability of health care professionals | Recommended a switch to a therapeutic alternative |
| A lack of knowledge about their therapy | A social/family support challenge | A problem with the intrusiveness of their medication regimen | Recommended a prescription for an OTC medication |
| A challenge in using their device | Limiting lifestyle factors | A problem with the pill burden of their medication regimen | Recommended an OTC medication |
| A communication skills challenge | Negative beliefs about the health care system | A problem with the specificity of their medication regimen | Found the same medication cheaper at an alternative pharmacy |
| A lack of confidence in their own capabilities | Psychological problems | A challenge with the cost of their medication regimen | Identified a copay assistance card |
| A problem with forgetfulness | A nonmanageable adverse event/side effect | Discontinued the medication | |
| Physical difficulties | A potential prescribing error | Recommended a switch to an alternative dose | |
| Manageable adverse events/side effects | Recommended a switch to an alternative frequency | ||
| A nonmanageable adverse event/side effect | Recommended a switch to a combination therapy | ||
OTC, over-the-counter.
Fig. 1.Study designed to analyze the impact of access to RxLive on the hospitalization rate in an outpatient population. The experimental architecture. The equivalent time period—a year before the RxLive provider enrollment—was 2019, which was compared with the 2020 period when the providers had access to RxLive enrollment.
Most Prevalent Comorbidities Present in the Opt-In and Opt-Out Groups
| COHORT | TOTAL PATIENTS | CARDIOVASCULAR DISEASE [PERCENTAGE OF TOTAL] | DIABETES MELLITUS [PERCENTAGE OF TOTAL] | HYPERTENSIVE DISEASE [PERCENTAGE OF TOTAL] | MOOD DISORDERS [PERCENTAGE OF TOTAL] |
|---|---|---|---|---|---|
| Opt-in group | 2,242 | 1,499 [66.9] | 766 [34.2] | 1,607 [71.7] | 872 [38.9] |
| Opt-out group | 1,540 | 604 [39.2] | 406 [26.4] | 702 [45.6] | 367 [23.9] |
Hospitalization Rates in the Opt-In and Opt-Out Groups During the 2019 and 2020 Assessment Periods
| TOTAL PATIENTS | HOSPITAL ADMISSIONS, NOVEMBER TO APRIL 2019 | HOSPITALIZATIONS PER PATIENT, NOVEMBER TO APRIL 2019 [95% CI] | HOSPITAL ADMISSIONS, NOVEMBER TO APRIL 2020 | HOSPITALIZATIONS PER PATIENT, NOVEMBER TO APRIL 2020 [95% CI] | CHANGE IN HOSPITALIZATION RATE FROM 2019 TO 2020 | |
|---|---|---|---|---|---|---|
| Opt-in group | 2,242 | 482 | 0.21 [0.20–0.23] | 544 | 0.24 [0.23–0.26] | +12.86% |
| Opt-out group | 1,540 | 865 | 0.56 [0.54–0.59] | 1213 | 0.79 [0.77–0.81] | +40.23% |
Fig. 2.Time-adjusted hospital admissions per patient by provider cohort. The hospitalization rates for the opt-in and opt-out groups in the 2019 and 2020 observation periods. The error bars indicate 95% confidence intervals. There was a significantly higher rise in the hospitalization rate in the opt-out group from 2019 to 2020, as indicated by the asterisk (*).