Patient engagement practice within perinatal <scp>eHealth</scp>: A scoping review

Auxier, Jennifer N.; Bender, Miriam; Hakojärvi, Henna-Riikka; Axelin, Anna

doi:10.1002/nop2.1822

Cited by 5 publications

(6 citation statements)

References 111 publications

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“…Researchers report that by moving care from the clinic spaces back into the homes of perinatal clients, care inequities and power imbalances between providers and clients could be ameliorated [26,29]. Self-monitoring is trending with the expressed goal of improving patient engagement and perinatal health outcomes; however, there is limited examination of the meaningful use of eHealth systems [24,30]. Not all high use was related to meaningful use for the pregnant users in our study.…”

Section: Principal Findingsmentioning

confidence: 63%

“…A recent review noted that of 12 different emerging perinatal eHealth modalities, self-monitoring was the third-most prevalent in use in the developed world [24]. A common reason for providing access to eHealth self-monitoring systems was to promote the movement of perinatal service away from the clinic into the home environments of clients [25][26][27][28].…”

Section: Principal Findingsmentioning

confidence: 99%

“…Some women used the system a lot but did not see the need to develop goals related to their lifestyle, while others did not consistently record their activities and sleep but found discussions with PHNs about incidences of poor sleep useful for managing their well-being during pregnancy. What is lacking in many studies on evaluating perinatal self-monitoring systems is a clear definition and examination of patient engagement and associated health outcomes [24]. A descriptive comparative analysis conducted as part of our larger…”

Section: Principal Findingsmentioning

confidence: 99%

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Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective

Auxier¹,

Savolainen²,

Bender³

et al. 2023

JMIR Form Res

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Background The development and quality assurance of perinatal eHealth self-monitoring systems is an upcoming area of inquiry in health science. Building patient engagement into eHealth development as a core component has potential to guide process evaluation. Access, 1 attribute of patient engagement, is the focus of study here. Access to eHealth self-monitoring programs has the potential to influence pregnancy health and wellness outcomes. Little is known about how pregnant users’ ability to obtain resources is influenced by their own adaptive activities and the mediating activities of eHealth systems during the process of real-world testing of these systems. Objective Here, we examine the patient engagement process of access occurring during the adaptation of eHealth self-monitoring use from a sociomaterial perspective. Methods In this mixed methods convergent evaluation design, we interviewed women about perceptions of the adaptation process of using an eHealth self-monitoring system. Deductive analysis was conducted guided by the definition of access as an attribute of patient engagement. After initial qualitative and quantitative data collection and analysis, participants were spilt based on their level of use of the eHealth system (physical wear time of self-monitoring device). Content analysis was then conducted according to user group, using a conceptual matrix developed from ontological perspectives of sociomateriality. Results Pregnant users’ adaptive activities and the mediation activities of the eHealth system represent a cocreation process that resulted in user group–specific characteristics of accessing and using the system. The high- and low-use groups experienced different personal adaptation and eHealth mediation during this process of cocreation. Differences were noted between high- and low-use groups, with the high-use group giving attention to developing skills in recording and interpreting data and the low-use group discussing the manual adding of activities to the system and how the system worked best for them when they used it in their mother tongue. Conclusions A cocreation process between pregnant users and the eHealth system was identified, illustrating access as a useful core component of perinatal eHealth self-monitoring systems. Researchers and clinicians can observe reasons for why pregnant users access eHealth systems in unique ways based on their personal preferences, habits, and values. Mediation activities of the eHealth system and the different user adaptive activities represent a cocreation process between the users and the eHealth system that is necessary for the personalization of perinatal eHealth systems.

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Section: Principal Findingsmentioning

confidence: 63%

Section: Principal Findingsmentioning

confidence: 99%

Section: Principal Findingsmentioning

confidence: 99%

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Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective

Auxier¹,

Savolainen²,

Bender³

et al. 2023

JMIR Form Res

Self Cite

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“…17 The rise of electronic health (eHealth) technology has profoundly impacted patient engagement behaviors. [18][19][20][21] With the widespread adoption of digital health tools such as mobile health apps, telemedicine, and online healthcare communities, patients have greater access to healthcare information and resources to support their health and clinical activities and achieve more convenient and efficient communication with healthcare providers. [22][23][24] It is undeniable that the COVID-19 pandemic has further accelerated the integration of information technology in healthcare delivery.…”

Section: Introductionmentioning

confidence: 99%

A Scale for Measuring Electronic Patient Engagement Behaviors: Development and Validation

Hou,

Wang,

Zhao

et al. 2024

PPA

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Purpose Advancements in electronic health (eHealth) technology have profoundly impacted patient engagement. This study aimed to develop and validate the Electronic Patient Engagement Behavior (EPEB) scale to measure the conceptual and underlying framework of patient engagement behaviors in an eHealth context. Patients and Methods Initial measurement items were generated based on a literature review and qualitative research. Two rounds of surveys, a pilot survey and validation survey, were conducted to evaluate the psychometric properties of the scale. Results The EPEB scale consists of 15 items in four dimensions: disease information search, physician-patient interaction, social interaction between patients, and disease self-monitoring. In the pilot survey, the exploratory factor analysis revealed a four-factor model, explaining 69.411% of variance. In the validation survey, the Cronbach’s α coefficient of each sub-scale was 0.865, 0.904, 0.904, and 0.900 respectively. The Spearman-Brown split coefficient of the scale was 0.963. The results of the cross-sex measurement equivalence test indicate that all fit indices met the measurement criteria. The confirmatory factor analysis indicated second-order 4-factor model fit the data well. The EPEB has a good reliability and validity. Conclusion The EPEB scale provides a reliable tool for measuring patient engagement behaviors in the eHealth context. The utilization of this scale may yield valuable insights into strategies for enhancing patient engagement and optimizing health outcomes.

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“…Within the NICU, families of hospitalized premature infants were allowed to operate a videoconferencing module for virtual visits from their home to the NICU and a website to access information on the issues confronting them. 29 Weber et al 30 applied FamilyLink's video access program to allow family members to remotely view their babies. This simple intervention improved rates of intention to breastfeed and provide expressed milk at discharge, and increased perceived parental involvement in the infant's care.…”

Section: Introductionmentioning

confidence: 99%

Application of e-health on neonatal intensive care unit discharged preterm infants and their parents: Protocol for systematic review and meta-analysis

Yang,

Zhang,

Cao

et al. 2023

DIGITAL HEALTH

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Background After preterm birth, parents often conformed with difficulties such as negative emotions, lack of care knowledge and skills, and insufficient professional support. As a remote health guidance method, e-health can provide a series of support for premature infants and their parents during the transition period from neonatal intensive care unit (NICU) to home care. Objectives To determine the efficacy of e-health interventions in discharged preterm infants as well as their parents, and to describe the process outcomes and elements of these e-health interventions to inform the effective design of future interventions. Methods The systematic review of the randomized and non-randomized controlled trials on the follow-up effect of e-health on preterm infants and their parents discharged from NICU between the inception to May 2023 will be electronically searched in the following nine databases: Web of Science, CINAHL Complete (EBSCO), PubMed, Embase, the Cochrane Library, Ovid MEDLINE, China National Knowledge Infrastructure, WANFANG DATA, and SinoMed. Quality will be appraised, respectively, via the revised tool to assess risk of bias (RoB 2) and the tool for risk of bias in non-randomized studies of interventions (ROBINS-I). The main outcome indicators of preterm infants are breastfeeding rate, readmission rate, neurobehavioral development, and premature infant's body mass. The outcome indicators for parents of premature infants are anxiety, depression scale, and parenting competency scale. The RevMan 5.4 software provided by the Cochrane Collaboration will be used for statistical analysis of the data. Conclusion The results of this study may provide future development opportunities for e-health follow-up prevention in preterm infants and may support evidence-based decision-making for e-health interventions of post-discharge developmental support in preterm infants. PROSPERO registration number CRD42023410334.

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Patient engagement practice within perinatal eHealth: A scoping review

Cited by 5 publications

References 111 publications

Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective

Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective

A Scale for Measuring Electronic Patient Engagement Behaviors: Development and Validation

Application of e-health on neonatal intensive care unit discharged preterm infants and their parents: Protocol for systematic review and meta-analysis

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