Impact of intensive blood pressure therapy on patient-perceived health status: results from the sprint study

Berlowitz, Dan R.; Foy, Capri G.; Kazis, Lewis E.; Pajewski, N.; Bolin, Linda P.; Conroy, Molly B.; Fitzpatrick, Peter M.; Gure, Tanya R.; Kimmel, Paul L.; Kirchner, Kent A.; Newman, Jill C.; Olney, Christine M.; Oparil, Suzanne; Powell, J.R.; Ramsey, Thomas; Snyder, Joni K.; Supiano, Mark A.; Weiner, Daniel E.; Whittle, Jeff

doi:10.1016/j.jash.2016.03.012

Cited by 9 publications

(19 citation statements)

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“…The main outcomes of interest were the participants' SOC and medication adherence scores. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8), which provides scores ranging from 0 to 8 and classifies participants into low, medium, and high medication adherence categories [28][29][30]. The SOC were determined using the 2-item SOC questionnaire.…”

Section: Methodsmentioning

confidence: 99%

Using the transtheoretical model’s stages of change to predict medication adherence in patients with type 2 diabetes mellitus in a primary health care setting

et al. 2019

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Background Qatar is currently experiencing a worrying increase in the prevalence of diabetes mellitus (DM). One of the most common reasons for uncontrolled DM is non-adherence to medications. The socio-behavioral intervention has proven effective in some chronic illnesses. Objectives To assess the stages of change (SOC) and medication adherence scores of type 2 diabetes mellitus (T2DM) patients visiting primary healthcare institutions in Qatar, and to evaluate the cause and effect relationship between SOC and adherence to antidiabetic medications. Methods The 8-item Morisky Medication Adherence Scale (MMAS-8) was used to assess medication adherence, and a 2-item SOC questionnaire was utilized to classify the SOC. The analysis to determine if the SOC could predict medication adherence while controlling for demographic characteristics, total number of prescribed medications and disease duration was done using hierarchical multiple regression. Results The final analysis included 387 patients. In relation to medication adherence, majority of the patients were in the maintenance stage (76.7%), followed by the preparation stage (14.7%), the action stage (3.9%), the contemplation stage (3.4%) and the precontemplation stage (1.3%). Most of the patients were in high adherence towards antidiabetic medications (50.3%) followed by low level (26.4%) and medium level (23.3%). SOC was significant and positively predicted medication adherence, which accounted for around 58 to 60% (p < 0.001) while controlling for covariates. Conclusions SOC was significant and positively predicted medication adherence. The study recommends that the SOC questionnaire could potentially be used to identify patients at risk for low adherence.

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Section: Methodsmentioning

confidence: 99%

Using the transtheoretical model’s stages of change to predict medication adherence in patients with type 2 diabetes mellitus in a primary health care setting

et al. 2019

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“…A modified Morisky Medication Adherence Scale (MMAS-8) was used. MMAS-8 offers good test-retest reliability (intraclass correlation coefficient = 0.729) and moderate internal consistency (Cronbach's α = 0.556) [22][23][24]. Seven of the eight items (Items 1-7) were yes/no questions, where "no" was given one point, and "yes" received zero points.…”

Section: Questionnaire Contentmentioning

confidence: 99%

“…Seven of the eight items (Items 1-7) were yes/no questions, where "no" was given one point, and "yes" received zero points. Item 8 was measured on a five-point Likert scale, in which "never," "once in a while," "sometimes," "usually," and "all the time" were respectively scored at 1, 0.75, 0.50, 0.25, and 0 [22][23][24][25].…”

Section: Questionnaire Contentmentioning

confidence: 99%

Acceptability and practicability of self-management for patients with Parkinson’s disease based on smartphone applications in China

Yuan

Zhao

et al. 2020

BMC Med Inform Decis Mak

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Background: China has had about 1.2 billion mobile-phone users, and this number continues to grow. However, mobile-health services (mHealth) are currently in the initial stage, and have not yet prevailed in China. Additionally, the prevalence of Parkinson's disease (PD) in China is 1700/100,000 (≥65 years). Indeed, these PD patients would benefit from mHealth to manage their disease. Therefore, we designed a study to determine attitudes toward smartphone applications (apps) for chronic condition self-management, and to discover the practicality of these apps among PD patients in China. Methods: We selected 204 participants with PD between 52 and 87 years old and surveyed their attitudes concerning the use of smartphone apps for chronic condition management via questionnaires. Results: Among the participants, 65.19% had smartphones. Among these smartphone users, 82.84% expressed a preference for using apps for PD management. This group tended to be younger and more frequent web users with higher education and better medication compliance, and they tended to have a longer PD course and worse conditions (P < 0.001, P = 0.001, P < 0.001, P = 0.041, P < 0.001, P = 0.013). Additionally, the willingness to apply apps for PD self-management was positively related to education (P < 0.001) and negatively related to age and PD course (P = 0.017, P < 0.001). Conclusion: In China, patients with PD have a generally positive attitude towards self-management through smartphone apps. Consequently, improving the coverage of smartphones with practical and handy apps is a promising strategy for PD self-management.

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“…2 Although some conditions of interest were higher in the intensive group-hypotension, syncope, electrolyte abnormalities, acute kidney injury ( Figure 1B)-there was no difference between the treatment arms in serious adverse events, including injurious falls ( Figure 1C) In addition, no group difference in self-assessed health-related quality of life was observed between treatment arms, regardless of frailty status. 3 Beyond these adverse events, the additional costs and potential burdens of intensive treatment need to be considered. On average, participants in the intensive arm were taking one additional antihypertensive medication, and additional medications always raise concerns about drug-drug interactions related to polypharmacy.…”

Section: Adverse Event Ratesmentioning

confidence: 99%

Applying the Systolic Blood Pressure Intervention Trial Results to Older Adults

Supiano

Williamson

2016

J American Geriatrics Society

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The Systolic Blood Pressure Intervention Trial (SPRINT; ClinicalTrials.gov, NCT01206062) was stopped early because of significantly lower risk of cardiovascular disease in participants randomized to a systolic blood pressure target of 120 mmHg (intensive) than in those randomized to 140 mmHg (standard). The cardiovascular outcome benefit was also identified in subjects aged 75 and older assigned to the intensive arm-34% lower than in the standard arm-in addition to 33% lower all-cause mortality at 3.14 years of follow-up. These beneficial outcomes held in older participants characterized as frail or with impaired gait speed. This article addresses several questions that need to be considered in applying the SPRINT results to the clinical care of older adults: Why are the SPRINT results discordant from those of epidemiological studies? Do the SPRINT findings generalize to the frail, older adults that I care for? Were there more adverse events in the intensive treatment group? What about cognitive and kidney outcomes? What are future considerations, and how low should we go?

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Impact of intensive blood pressure therapy on patient-perceived health status: results from the sprint study

Cited by 9 publications

References 0 publications

Using the transtheoretical model’s stages of change to predict medication adherence in patients with type 2 diabetes mellitus in a primary health care setting

Using the transtheoretical model’s stages of change to predict medication adherence in patients with type 2 diabetes mellitus in a primary health care setting

Acceptability and practicability of self-management for patients with Parkinson’s disease based on smartphone applications in China

Applying the Systolic Blood Pressure Intervention Trial Results to Older Adults

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