Can Technology Improve Medication Adherence in Older People with Dementia?

2018 ◽  
pp. 3-10
Author(s):  
Najwan El-Saifi ◽  
Wendy Moyle ◽  
Cindy Jones ◽  
Haitham Tuffaha
Keyword(s):  
Medication Adherence ◽  
Older People ◽  
Improve Medication Adherence ◽  
People With Dementia

scholarly journals New horizons in deprescribing for older people

2019 ◽  
Vol 48 (6) ◽  
pp. 768-775 ◽  
Author(s):  
Henry J Woodford ◽  
James Fisher
Keyword(s):  
Medication Adherence ◽  
Older People ◽  
Evidence Base ◽  
Ageing Population ◽  
Improve Medication Adherence ◽  
Long Term Conditions ◽  
Team Working ◽  
Drug Adverse Effects ◽  
Potential Benefits ◽  
Few Data

Abstract Deprescribing has gained interest recently, driven by an ageing population seeing an increasing number living with multiple long-term conditions. This, coupled with disease-specific guidelines derived from clinical trials in younger people, has led to an increase in exposure to polypharmacy and the associated therapeutic burden. Older people, especially those living with frailty, tend to experience lower efficacy of these medications along with a higher risk of drug adverse effects. Explanations for these differences include the physiological effects of frailty, drug–drug interactions, drug–disease interactions and reduced medication adherence. Adverse drug reactions often go unnoticed and can trigger further prescribing. Certain medications have been recognised as potentially inappropriate for people with frailty, yet their use remains common. Evidence suggests that many older people are open to the concept of reducing medications. Deprescribing should be based around a shared decision-making approach. Trials to date have suggested that it can often be achieved without harm. To date, there are few data to support improvements in hospitalisation or mortality rates. However, there is some evidence that it may reduce polypharmacy, improve medication adherence, reduce financial costs and improve quality of life. In the future, it will be necessary to grow the evidence base and improve public and clinician awareness of the potential benefits of deprescribing. It will require excellent team working and communication between all of those involved in the prescribing and administration of medications, also supported by improved healthcare informatics. Non-pharmacological approaches will need to be promoted. Fewer drugs is not less care.

Determinants of medication adherence in older people with dementia from the caregivers’ perspective

2018 ◽  
Vol 31 (3) ◽  
pp. 331-339 ◽  
Author(s):  
Najwan El-Saifi ◽  
Wendy Moyle ◽  
Cindy Jones ◽  
Clair Alston-Knox
Keyword(s):  
Medication Adherence ◽  
Older People ◽  
Health Knowledge ◽  
Treatment Success ◽  
Credible Interval ◽  
Adherence Rate ◽  
Medical Problems ◽  
Caregiver Support ◽  
People With Dementia ◽  
Bayesian Profile Regression

ABSTRACTBackground:Adherence to treatment is a primary determinant of treatment success. Caregiver support can influence medication adherence in people with cognitive impairment. This study sought to characterize medication adherence in older people with dementia from the caregivers’ perspective, and to identify influencing factors.Methods:Caregivers caring for a person with dementia and living in the community were eligible to complete the survey. Bayesian profile regression was applied to identify determinants of medication adherence measured using the Adherence to Refills and Medication Scale.Results:Out of the 320 caregivers who participated in the survey, Bayesian profile regression on 221 participants identified two groups: Profile 1 (55 caregivers) with a mean adherence rate of 0.69 (80% Credible Interval (CrI): 0.61–0.77), and Profile 2 (166 caregivers) with a mean adherence rate of 0.80 (80% CrI: 0.77–0.84). Caregivers in Profile 1 were characterized with below data average scores for the following: cognitive functioning, commitment or intention, self-efficacy, and health knowledge, which were all above the data average in Profile 2, except for health knowledge. Caregivers in Profile 1 had a greater proportion of care recipients taking more than five medications and with late-stage dementia. Trade, technical, or vocational training was more common among the caregivers in Profile 1. Profile 2 caregivers had a better patient–provider relationship and less medical problems.Conclusions:Bayesian profile regression was useful in understanding caregiver factors that influence medication adherence. Tailored interventions to the determinants of medication adherence can guide the development of evidence-based interventions.

scholarly journals Understanding the Link between Family Caregiver Quality of Life and the Care Provided to Older People With Dementia

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 153-154
Author(s):  
Afeez Hazzan
Keyword(s):  
Quality Of Life ◽  
Quality Of Care ◽  
Older People ◽  
Family Caregivers ◽  
Family Caregiver ◽  
Well Being ◽  
The United States ◽  
People With Dementia ◽  
The Impact

Abstract Dementia is one of the most rapidly growing diseases in the United States. In 2018, the direct costs to American society of caring for older people with dementia was approximately $277 billion. Primary informal caregivers are mainly responsible for the care of older people with dementia including Alzheimer’s disease. Caregivers perform a myriad of duties ranging from shopping for their loved ones’ groceries, helping with medications, and managing finances. The caregiving role becomes more demanding as the disease progresses over time, and studies have shown that the quality-of-life (QoL) experienced by caregivers of older adults who have dementia is lower than the QoL of caregivers for older people who do not have dementia. To the best of our knowledge, there has been no research conducted to investigate whether lower caregiver QoL affects the level or quality of care that caregivers provide to persons with dementia. In the current study, we interviewed family caregivers living in Rochester, New York to inquire about their quality of life and the care provided to older people living with dementia. Further, caregivers completed the 36-item Short Form Health Survey (SF-36) as well as a draft questionnaire for measuring the quality of care provided to older people living with dementia. Both quantitative and qualitative findings from this study reveals important relationships between family caregiver QoL and the care provided, including the impact of social support and financial well-being. The study findings could have significant impact, particularly for the provision of much needed support for family caregivers.

scholarly journals 83 A Medication Self-Management Intervention to Improve Medication Adherence For Older People with Multimorbidity: A Pilot Study

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
C Yang ◽  
Z Hui ◽  
S Zhu ◽  
X Wang ◽  
G Tang ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Pilot Study ◽  
Older People ◽  
Intervention Group ◽  
Self Management ◽  
Control Group ◽  
Medication Knowledge ◽  
Management Intervention ◽  
Patient Reported

Abstract Introduction Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity. Method This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations. Results Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up. Conclusions The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.

Sign in / Sign up

Export Citation Format

Share Document