東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Self-Care and Quality of Life of Rem...

Murphy, Patrick Rexrode,

Linked to FindBook

Google Book

Amazon

博客來

Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure // Patrick Rexrode Murphy.
Author:	Murphy, Patrick Rexrode,
Description:	1 electronic resource (83 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
Contained By:	Dissertations Abstracts International86-03B.
Subject:	Socioeconomic factors. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31359843
ISBN:	9798384337720

Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure /
Murphy, Patrick Rexrode,

Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure /Patrick Rexrode Murphy. - 1 electronic resource (83 pages)

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

Background:About 6.2 million persons are living with heart failure in the United States and over 960,000 new cases are diagnosed annually. The cost to provide care to this population exceeds $30 billion per year. Rates of heart failure are higher in the Appalachian region where persons are more likely to experience poverty, lack resources, and be geographically isolated. Heart failure coupled with these unique challenges can negatively impact self-care and quality of life. Numerous interventions have been attempted to support this population, but results have been mixed and usually minimal at best. Remote monitoring through an implanted device may provide a solution to enhance self-care and quality of life for these persons. Purpose:The purpose of this study was to contribute to the body of knowledge of nursing by exploring the impact of remote monitoring on self-care and quality of life for persons with heart failure in Appalachia. Method: The study used a quasi-experimental, post-test only design with nonequivalent groups. Following IRB approval, adults living in Appalachia with NYHA Class III heart failure being seen in a cardiology heart failure clinic were recruited into a remotely monitored intervention group (already implanted with CardioMEMS remote monitoring device) or into the non-monitored, control group. Fifteen persons were recruited into each group for a total sample size of 30. After completion of informed consent, a telephone interview was scheduled during which the Self-Care in Heart Failure Index version 7.2 and Minnesota Living with Heart Failure Questionnaire were completed along with some demographic questions. Data was analyzed using descriptive statistics, independent samples t-tests to determine differences between groups for self-care and quality of life dependent variables, and generalized linear models to determine any influence of independent variables on the dependent outcome variables (self-care and quality of life variables). A GLM was also run to determine if self-care variables had influence on the quality of life variable. Results: The sample was predominantly male (66.7%) with an average age of 67.2 years (range 31-87). The entire sample identified as white (100%) and 50% were retired. Rates of key comorbidities (hypertension, CAD, diabetes, sleep apnea, obesity) were higher in the intervention group. No statistically significant differences were found between the remotely monitored and non-monitored persons with heart failure for the self-care and quality of life variables. Per the GLM's, some predictor variables (home internet access, months since HF diagnosis, self-care confidence, and remote monitoring) were shown to have influence on self-care monitoring and/or self-care management variables at a statistically significant level (P <.05). No self-care variables were shown to have influence on quality of life per the GLM. Conclusion:Due to the limited sample size of remotely monitored persons and challenges identifying NYHA Class III heart failure in the control group, the sample size was too small. The study's hypotheses related to self-care and quality of life could not be supported given the study data. Findings may support capture of home internet access and self-care confidence scores when caring for this population as these had influence on self-care monitoring and self-care management. Future studies should have larger sample sizes and random assignment to groups to control for extraneous variables in this challenging population.

English

ISBN: 9798384337720Subjects--Topical Terms:

3435444
Socioeconomic factors.

Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure /
LDR:05004nmm a22004693i 4500 001 2429037
005 20250428055550.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798384337720
035 $a (MiAaPQD)AAI31359843
035 $a (MiAaPQD)WVirginia13106
035 $a AAI31359843
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Murphy, Patrick Rexrode, $e author. $3 3816643
245 1 0 $a Self-Care and Quality of Life of Remotely Monitored Appalachians with Heart Failure / $c Patrick Rexrode Murphy.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (83 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
500 $a Advisors: Smith, Mary Jane; Carpenter, Roger.
502 $b Ph.D. $c West Virginia University $d 2024.
520 $a Background:About 6.2 million persons are living with heart failure in the United States and over 960,000 new cases are diagnosed annually. The cost to provide care to this population exceeds $30 billion per year. Rates of heart failure are higher in the Appalachian region where persons are more likely to experience poverty, lack resources, and be geographically isolated. Heart failure coupled with these unique challenges can negatively impact self-care and quality of life. Numerous interventions have been attempted to support this population, but results have been mixed and usually minimal at best. Remote monitoring through an implanted device may provide a solution to enhance self-care and quality of life for these persons. Purpose:The purpose of this study was to contribute to the body of knowledge of nursing by exploring the impact of remote monitoring on self-care and quality of life for persons with heart failure in Appalachia. Method: The study used a quasi-experimental, post-test only design with nonequivalent groups. Following IRB approval, adults living in Appalachia with NYHA Class III heart failure being seen in a cardiology heart failure clinic were recruited into a remotely monitored intervention group (already implanted with CardioMEMS remote monitoring device) or into the non-monitored, control group. Fifteen persons were recruited into each group for a total sample size of 30. After completion of informed consent, a telephone interview was scheduled during which the Self-Care in Heart Failure Index version 7.2 and Minnesota Living with Heart Failure Questionnaire were completed along with some demographic questions. Data was analyzed using descriptive statistics, independent samples t-tests to determine differences between groups for self-care and quality of life dependent variables, and generalized linear models to determine any influence of independent variables on the dependent outcome variables (self-care and quality of life variables). A GLM was also run to determine if self-care variables had influence on the quality of life variable. Results: The sample was predominantly male (66.7%) with an average age of 67.2 years (range 31-87). The entire sample identified as white (100%) and 50% were retired. Rates of key comorbidities (hypertension, CAD, diabetes, sleep apnea, obesity) were higher in the intervention group. No statistically significant differences were found between the remotely monitored and non-monitored persons with heart failure for the self-care and quality of life variables. Per the GLM's, some predictor variables (home internet access, months since HF diagnosis, self-care confidence, and remote monitoring) were shown to have influence on self-care monitoring and/or self-care management variables at a statistically significant level (P <.05). No self-care variables were shown to have influence on quality of life per the GLM. Conclusion:Due to the limited sample size of remotely monitored persons and challenges identifying NYHA Class III heart failure in the control group, the sample size was too small. The study's hypotheses related to self-care and quality of life could not be supported given the study data. Findings may support capture of home internet access and self-care confidence scores when caring for this population as these had influence on self-care monitoring and self-care management. Future studies should have larger sample sizes and random assignment to groups to control for extraneous variables in this challenging population.
546 $a English
590 $a School code: 0256
650 4 $a Socioeconomic factors. $3 3435444
650 4 $a Health care policy. $3 3550686
650 4 $a Telemedicine. $3 841772
650 4 $a Heart failure. $3 804127
650 4 $a Chronic illnesses. $3 3550688
650 4 $a Health promotion. $3 548884
650 4 $a Likert scale. $3 3451196
650 4 $a Patients. $3 1961957
650 4 $a Quality of life. $3 529789
650 4 $a Aging. $3 543123
650 4 $a Theory of planned behavior. $2 lcstt $3 3266397
650 4 $a Decision making. $3 517204
650 4 $a Rural areas. $3 3560074
650 4 $a Nursing. $3 528444
650 4 $a Pulmonary arteries. $3 3685017
650 4 $a Education. $3 516579
650 4 $a Digital technology. $3 3561497
650 4 $a Disease control. $3 3562653
650 4 $a Health sciences. $3 3168359
650 4 $a Medicine. $3 641104
650 4 $a Public health. $3 534748
650 4 $a Sociology. $3 516174
690 $a 0493
690 $a 0569
690 $a 0515
690 $a 0501
690 $a 0769
690 $a 0566
690 $a 0564
690 $a 0573
690 $a 0626
710 2 $a West Virginia University. $e degree granting institution. $3 3816641
720 1 $a Smith, Mary Jane $e degree supervisor.
720 1 $a Carpenter, Roger $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-03B.
790 $a 0256
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31359843