2019
DOI: 10.2196/14360
|View full text |Cite
|
Sign up to set email alerts
|

A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support

Abstract: The evidence that quality of life is a positive variable for the survival of cancer patients has prompted the interest of the health and pharmaceutical industry in considering that variable as a final clinical outcome. Sustained improvements in cancer care in recent years have resulted in increased numbers of people living with and beyond cancer, with increased attention being placed on improving quality of life for those individuals. Connected Health provides the foundations for the transformation of cancer c… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(22 citation statements)
references
References 95 publications
0
22
0
Order By: Relevance
“…The primary limitation of this study is the sample size, which reduced generalizability and precluded our ability to detect statistical significance in our analysis of variable impact scores. However, our sample size is consistent with the scope of a pilot study related to early stage smart health design [ 33 , 53 , 54 ] and the aims of qualitative research [ 51 , 52 , 56 ] and provides an important rural perspective. Our initial intent was to interview all dyads together, but this proved difficult/impossible due to logistical constraints.…”
Section: Discussionmentioning
confidence: 64%
See 2 more Smart Citations
“…The primary limitation of this study is the sample size, which reduced generalizability and precluded our ability to detect statistical significance in our analysis of variable impact scores. However, our sample size is consistent with the scope of a pilot study related to early stage smart health design [ 33 , 53 , 54 ] and the aims of qualitative research [ 51 , 52 , 56 ] and provides an important rural perspective. Our initial intent was to interview all dyads together, but this proved difficult/impossible due to logistical constraints.…”
Section: Discussionmentioning
confidence: 64%
“…Our overall sample, although equally split between males and females, had a disproportionate number of female caregivers and, although not racially or ethnically diverse, represents a geographically underserved sample, as the majority of patients were from rural areas of Central Virginia (consistent with the general demographics of the cancer center recruitment study site). We recruited a final sample size of 22 individuals, which is consistent with the pilot, qualitative, and early stage smart health design work [ 33 , 51 - 60 ] and the aims of our study to explore proof of concept of the BESI-C system with end users and better understand the experience of cancer pain at home.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The increasing amount of user-generated information has become a valuable resource to guide health interventions and advance our knowledge of a variety of health conditions [ 28 ]. The data can be analyzed and built upon, allowing researchers to better understand user characteristics, social and information needs, and communication ecosystems as well as to serve the demographics being studied [ 29 - 32 ]. Such applications include, but are not limited to, the identification of individuals at risk for depression [ 33 ], the detection of drug-drug interactions or adverse side effects [ 34 ], the examination of health behaviors in various types of cancer survivors [ 35 , 36 ], and the investigation of the impact of social media on decision making and recovery in prostate cancer patients [ 37 , 38 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although the literature richly describes the experience and consequences of poorly managed cancer pain within the home setting [4,5,24,25], gaps exist in understanding real-time, dynamic contextual factors that may worsen or mitigate the experience of cancer pain from the perspectives of patients and family caregivers [4,15,[26][27][28][29][30]. Smart health (eg, wireless/mobile technology and user interfaces) is increasingly being utilized to improve remote symptom monitoring and management [31,32], but it is not always designed with meaningful end-user input [33] and may not be appropriate or feasible for the unique needs of patients and caregivers coping with the stressors of advanced, late-stage illness, limiting its ultimate utility and effectiveness [34,35]. Relatedly, ever-evolving technological capabilities can capture a large range of data, but it is not always clear which variables, especially environmental, are most essential and how they should be prioritized [30].…”
Section: Introductionmentioning
confidence: 99%