Unlocking educational frontiers: Exploring higher educators' adoption of google workspace technology tools for teaching and assessment in Lesotho dynamic landscape.

The rapid integration of google workspace tools in higher education has the potential to transform education. To fully realize this potential, it is crucial to understand the factors that influence educators' attitudes and intentions toward adopting these tools. However, current research has mainly focused on specific contexts, highlighting the need for a comprehensive examination in different educational settings. This study delves into the complexities of the Technology Acceptance Model and expands its scope by considering additional external variables. Data was collected through an online survey, with 396 educators sharing their perspectives and intentions regarding google workspace tools. We used composite-based structural equation modeling, implemented by the SEMinR package in the R programming language, to rigorously assess the measurement and structural models of the constructs. The study's findings reveal significant relationships among the factors that shape educators' perceptions and behaviors in relation to google workspace tools. Notably, all paths show significant influence, except those connecting social influence to perceived usefulness and ease of use to attitude. Additionally, the research identifies the moderating impacts of gender, which do not significantly contribute to the observed relationships. This study contributes substantially to the growing knowledge of technology adoption in higher education. Furthermore, it offers valuable insights that can benefit educators, institutions, and policymakers who want to leverage the potential of google workspace tools for teaching and assessment. Lastly, the study provides clear directions for future research in this area.

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.

BACKGROUND: A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is low and it is prone to documentation errors, which can be avoided with the use of electronic partographs. There is only limited information on the proportion of intention to use mobile-based partographs and its predictors. OBJECTIVE: The objective of this study was to determine the proportion of obstetric health care providers at public referral hospitals in Oromia, Ethiopia, in 2022 who had the intention to use mobile-based partographs and to determine the predictors of their intention to use mobile-based partographs. METHODS: We performed an institution-based cross-sectional study from June 1 to July 1, 2022. Census was conducted on 649 participants. A self-administered structured English questionnaire was used, and a 5% pretest was performed. Data were entered into EpiData version 4.6 and exported to SPSS version 25 for descriptive analysis and AMOS (analysis of moment structure; version 23) for structural and measurement model assessment. Descriptive and structural equation modeling analyses were performed. The hypotheses developed based on a modified Technology Acceptance Model were tested using path coefficients and P values <.05. RESULTS: About 65.7% (414/630; 95% CI 61.9%-69.4%) of the participants intended to use mobile-based electronic partographs, with a 97% (630/649) response rate. Perceived usefulness had a positive influence on intention to use (ß=.184; P=.02) and attitude (ß=.521; P=.002). Perceived ease of use had a positive influence on attitude (ß=.382; P=.003), perceived usefulness (ß=.503; P=.002), and intention to use (ß=.369; P=.001). Job relevance had a positive influence on perceived usefulness (ß=.408; P=.001) and intention to use (ß=.185; P=.008). Attitude positively influenced intention to use (ß=.309; P=.002). Subjective norms did not have a significant influence on perceived usefulness (ß=.020; P=.61) and intention to use (ß=-.066; P=.07). CONCLUSIONS: Two-thirds of the obstetric health care providers in our study intended to use mobile-based partographs. Perceived usefulness, perceived ease of use, job relevance, and attitude positively and significantly influenced their intention to use mobile-based electronic partographs. The development of a user-friendly mobile-based partograph that meets job and user expectations can enhance the intention to use.

Factors influencing adoption of sexual and reproductive health intervention for adolescents in Ebonyi, Nigeria.

BACKGROUND: School and Community-embedded reproductive health interventions have been implemented in developing countries, with evidence that they led to improved sexual and reproductive health among adolescents. However, this type of intervention is rarely evaluated for its potential adoption and use. This study evaluated the constraints and enablers of the adoption of a school and community-embedded intervention that used community engagement, capacity building, partnerships and collaborations to deliver sexual and reproductive health services to adolescents. METHODS: The intervention was implemented between 2019 and 2021 in six local government areas in Ebonyi State. The results on adoption presented here were collected four months into the mid-phase of the project, targeting adolescents, parents, adult family members, healthcare providers, local authorities, and community members. Sixteen in-depth interviews were conducted with policymakers, 14 with health service providers and 18 Focus Group Discussions (FGDs) with parents, community leaders and adolescents who were part of the implementation process. The coding reliability approach, a type of thematic data analysis was used, that involves early theme development and the identification of evidence for the themes. RESULTS: The adoption of school and community-embedded reproductive health intervention was strong among stakeholders at the early stages of the implementation process. Multi-stakeholder involvement and its multi-component approach made the intervention appealing, thereby enabling its adoption. However, at the later stage, the adoption was constrained by beliefs and norms about sexual and reproductive health (SRH) and the non-incentivisation of stakeholders who acted as advocates at the community level. The sustainability of the intervention may be threatened by the non-incentivisation of stakeholders and the irregular supply of materials and tools to facilitate SRH advocacy at the community level. CONCLUSIONS: The inclusive community-embedded reproductive health intervention was adopted by stakeholders because of the enablers which include timely stakeholder engagement. However, for it to be sustainable, implementers must address the non-incentivising of community-level advocates which serve as constraints.

Technology Use Among Older Adults and Their Caregivers: Cross-Sectional Survey Study.

Background: Informal caregivers are called upon to provide substantial care, but more needs to be known about technology use among older adult and caregiver dyads. Objective: This study described technology use among older adults and their caregivers, explored potential correlates of technology use, and highlighted implications for practice. Methods: A cross-sectional survey was conducted among unpaid caregivers of older adults (n=486). Primary outcomes were self-reported technology (devices and functions) use among caregivers and their oldest care recipient. The concordance of technology use among caregivers and care recipients was also examined. Multivariable regression models were conducted separately for caregivers and care recipients. Results: Greater proportions of caregivers used all examined technologies, except for the medication alerts or tracking function, than care recipients. Caregivers used an average of 3.4 devices and 4.2 functions, compared to 1.8 devices and 1.6 functions used by their care recipients. Among caregivers, younger age, higher income, and higher education were associated with more technology use (P<.05). Among care recipients, younger age, not having cognitive dysfunction, and caregiver's technology use were associated with more technology use (P<.05). Conclusions: Understanding technology use patterns and device adoption across diverse caregiver and care recipient populations is increasingly important for enhancing geriatric care. Findings can guide recommendations about appropriate technology interventions and help providers communicate and share information more effectively with patients and their caregivers.

The romantic relationships of adopted adolescents.

INTRODUCTION: There is a gap in the literature on the romantic relationships of adopted adolescents. To address this issue, the present study has three aims: (1) to explore differences between adopted and non-adopted adolescents in terms of their involvement in and the length of their romantic relationships; (2) to explore the quality of these relationships; and (3) to analyze associations between affective relationships and well-being in both groups. METHOD: The sample comprised 276 adopted (64.5% girls; mean age 16.3 years, 73.9% international adoptees) and 276 non-adopted (48.3% girls; mean age 16.3 years) adolescents, all of whom participated in the Spanish Health Behaviour in School-aged Children survey. RESULTS: Similar romantic relationship rates and lengths were found among adoptees and non-adoptees, as well as between international and domestic adoptees. Adoptees reported more emotional support and conflicts in their romantic relationships than their non-adopted peers. Finally, associations between the quality of the romantic relationships and well-being were similar for both groups, with more conflicts being linked to lower levels of well-being, and more emotional support and affection correlating with higher levels of well-being. DISCUSSION: The data suggest more similarities than differences between adopted and non-adopted adolescents. However, although this indicates that romantic relationships are yet another example of recovery for adopted boys and girls, further research is required, with larger and more diverse samples from multiple countries, to explore the differences observed in more detail.

Machine Learning Models for Parkinson Disease: Systematic Review.

Background: With the increasing availability of data, computing resources, and easier-to-use software libraries, machine learning (ML) is increasingly used in disease detection and prediction, including for Parkinson disease (PD). Despite the large number of studies published every year, very few ML systems have been adopted for real-world use. In particular, a lack of external validity may result in poor performance of these systems in clinical practice. Additional methodological issues in ML design and reporting can also hinder clinical adoption, even for applications that would benefit from such data-driven systems. Objective: To sample the current ML practices in PD applications, we conducted a systematic review of studies published in 2020 and 2021 that used ML models to diagnose PD or track PD progression. Methods: We conducted a systematic literature review in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed between January 2020 and April 2021, using the following exact string: "Parkinson's" AND ("ML" OR "prediction" OR "classification" OR "detection" or "artificial intelligence" OR "AI"). The search resulted in 1085 publications. After a search query and review, we found 113 publications that used ML for the classification or regression-based prediction of PD or PD-related symptoms. Results: Only 65.5% (74/113) of studies used a holdout test set to avoid potentially inflated accuracies, and approximately half (25/46, 54%) of the studies without a holdout test set did not state this as a potential concern. Surprisingly, 38.9% (44/113) of studies did not report on how or if models were tuned, and an additional 27.4% (31/113) used ad hoc model tuning, which is generally frowned upon in ML model optimization. Only 15% (17/113) of studies performed direct comparisons of results with other models, severely limiting the interpretation of results. Conclusions: This review highlights the notable limitations of current ML systems and techniques that may contribute to a gap between reported performance in research and the real-life applicability of ML models aiming to detect and predict diseases such as PD.

Eviction-driven infanticide and sexually selected adoption and infanticide in a neotropical parrot.

Infanticide and adoption have been attributed to sexual selection, where an individual later reproduces with the parent whose offspring it killed or adopted. While sexually selected infanticide is well known, evidence for sexually selected adoption is anecdotal. We report on both behaviors at 346 nests over 27 y in green-rumped parrotlets (Forpus passerinus) in Venezuela. Parrotlets are monogamous with long-term pair bonds, exhibit a strongly male-biased adult sex ratio, and nest in cavities that are in short supply, creating intense competition for nest sites and mates. Infanticide attacks occurred at 256 nests in two distinct contexts: 1) Attacks were primarily committed by nonbreeding pairs (69%) attempting to evict parents from the cavity. Infanticide attacks per nest were positively correlated with population size and evicting pairs never adopted abandoned offspring. Competition for limited nest sites was a primary cause of eviction-driven infanticide, and 2) attacks occurred less frequently at nests where one mate died (31%), was perpetrated primarily by stepparents of both sexes, and was independent of population size. Thus, within a single species and mating system, infanticide occurred in multiple contexts due to multiple drivers. Nevertheless, 48% of stepparents of both sexes adopted offspring, and another 23% of stepfathers exhibited both infanticide and long-term care. Stepfathers were often young males who subsequently nested with widows, reaching earlier ages of first breeding than competitors and demonstrating sexually selected adoption. Adoption and infanticide conferred similar fitness benefits to stepfathers and appeared to be equivalent strategies driven by limited breeding opportunities, male-biased sex ratios, and long-term monogamy.

English as a foreign language students' acceptance of Google Classroom in writing classes: A case study in Vietnam.

Google Classroom is a virtual education platform created by Google that allows both instructors and learners to actively participate in educational environments inside and outside of the classroom in an innovative way. This research aims to determine how university students perceived the adoption of Google Classroom in writing classes. This research was a convergent parallel mix-methods approach in which data were gathered through a 5-point Likert scale questionnaire and semi-structured interviews. The participants of this study included 130 university students in Vietnam. The results revealed that students expressed their approval of using Google Classroom in writing classes and that they had a positive view since it benefited them greatly in their learning writing process. This study suggests practical implications for language educators to use Google Classroom in writing classes.

Driving change: NICHE community engagement, integration, and adoption initiatives.

As NICHE enters its fourth decade, it is a nursing innovation that has endured and adapted to meet the needs of older adults by fortifying the geriatric nursing workforce. Examining "Why NICHE and why now?" to guide NICHE implementation is important for the NICHE program and its members. The next steps for the NICHE community aim to build on our collective strengths, deepen integration with established geriatric quality programs and nursing professional organization partners, and increase the adoption of the NICHE practice model. These priorities and ways NICHE members may join in achieving them are outlined in this month's column.

Unlocking future learning: Exploring higher education students' intention to adopt meta-education.

Despite the potential of meta-education to transform higher education, there remains a scarcity of research investigating students' adoption intentions. This study aimed to identify factors influencing students' intentions to adopt meta-education using an extended Decomposed Theory of Planned Behavior model (DTPB). Data was collected via an online survey of 596 higher education students from Jordan who were purposefully selected. Structural equation modeling using partial least squares analysis revealed attitude, social influence, and perceived behavioral control as key antecedents of adoption intention. Furthermore, newly added variables including perceived enjoyment, herd behavior, student autonomy, and student innovativeness showed efficiency in explaining variance in attitude, social influence, and perceived behavioral control. Overall, the extended model provided meaningful insights on factors driving students' willingness to adopt meta-education. The study contributes to theory by extending the decomposed TPB model in the context of emerging educational technologies. It also provides practical implications for policymakers and educators aiming to encourage meta-education adoption.

Physicians' intentions to use digital tools - a comparative survey, before and after the COVID-19 pandemic, in Southern Sweden.

OBJECTIVES: To describe changes in Swedish primary care physicians' use of, attitudes and intentions toward digital tools in patient care between 2019 and 2022. DESIGN: A survey using a validated questionnaire measuring physician's intentions to use digital tools based on the theory of planned behavior. SETTING: Sample of primary health care centers in southern Sweden. SUBJECTS: Primary care physicians. MAIN OUTCOME MEASURES: Self-reported use and intentions to use, digital tools including digital consultations by text or video, chronic disease monitoring and artificial intelligence (AI) and the associations between attitudes, subjective norms, perceived behavioral control and behavioral intentions to use digital tools, in 2019 compared to 2022. RESULTS: In both 2019 (n = 198) and 2022 (n = 93), physicians reported high intentions to use digital tools. Self-reported use of video was slightly higher in 2022 (p = .03). No other changes were seen in the self-reported use or behavioral intentions to use digital tools. CONCLUSION: The slow adoption of patient-related digital tools in Swedish primary health care does not seem to be explained by a low intention to use them among physicians. Future research on implementation of digital tools should include a focus on contextual factors such as organizational, technical and cultural barriers.

Based on the theory of planned behavior a survey was designed and applied in 2019 to measure physicians' use of, attitudes and intentions toward telemedicine (PAIT) and digital tools.A follow up study using PAIT was conducted in 2022.Physicians reported high intentions to use digital tools in both 2019 and 2022.Self-reported use of digital tools was low in both 2019 and 2022.

Farmer's climate smart livestock production adoption and determinant factors in Hidebu Abote District, Central Ethiopia.

This study aimed to identify the status, determining factors, and challenges in adopting climate smart livestock production practices by farmers. Three-staged sampling techniques were used to select the research sites and 233 sample farmer household respondents. Data were collected mainly using a pre-tested structured questionnaire. Key informant interviews and focus group discussions were also conducted to complement the household survey data. Descriptive statistics and an ordered logistic regression model were applied to analyze the quantitative data. The result revealed that the most adopted practices were composting (85.41%) and manure management (70.39%) while the least adopted technologies were biogas generation (3.86%) and rotation grazing (22.32%). The adoption status of the sampled farmers was also categorized into low (19.74%), medium (67.81%), and high adopter (12.45%). The high cost of improved breed, use of manure for fuel, free grazing, lack of information and awareness were the major constraints to adopting the climate smart livestock production technologies. The result also revealed that education, grazing land, total livestock holding, and extension agent contact contributed significantly and positively to the adoption of smart livestock production technology, while the distance from the water source had an insignificant and negative effect on the adoption status of climate smart livestock production practices. The study suggests the relevance of the cooperation of stakeholders and strengthening extension services for the maximum benefits of climate smart livestock production.

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study.

BACKGROUND: Mobile health (mHealth) wearable devices are increasingly being adopted by individuals to help manage and monitor physiological signals. However, the current state of wearables does not consider the needs of racially minoritized low-socioeconomic status (SES) communities regarding usability, accessibility, and price. This is a critical issue that necessitates immediate attention and resolution. OBJECTIVE: This study's aims were 3-fold, to (1) understand how members of minoritized low-SES communities perceive current mHealth wearable devices, (2) identify the barriers and facilitators toward adoption, and (3) articulate design requirements for future wearable devices to enable equitable access for these communities. METHODS: We performed semistructured interviews with low-SES Hispanic or Latine adults (N=19) from 2 metropolitan cities in the Midwest and West Coast of the United States. Participants were asked questions about how they perceive wearables, what are the current benefits and barriers toward use, and what features they would like to see in future wearable devices. Common themes were identified and analyzed through an exploratory qualitative approach. RESULTS: Through qualitative analysis, we identified 4 main themes. Participants' perceptions of wearable devices were strongly influenced by their COVID-19 experiences. Hence, the first theme was related to the impact of COVID-19 on the community, and how this resulted in a significant increase in interest in wearables. The second theme highlights the challenges faced in obtaining adequate health resources and how this further motivated participants' interest in health wearables. The third theme focuses on a general distrust in health care infrastructure and systems and how these challenges are motivating a need for wearables. Lastly, participants emphasized the pressing need for community-driven design of wearable technologies. CONCLUSIONS: The findings from this study reveal that participants from underserved communities are showing emerging interest in using health wearables due to the COVID-19 pandemic and health care access issues. Yet, the needs of these individuals have been excluded from the design and development of current devices.

Empowering Patients Through Digital Health Literacy and Access to Electronic Medical Records (EMRs) in the Developing World.

This editorial discusses the transformative potential of digital health literacy and the critical role of electronic medical records (EMRs) in promoting patient empowerment in the healthcare landscape of developing countries. It examines the impact of digital media in healthcare, noting its ability to both democratize access to information and services and pose risks of misinformation among populations with limited health literacy. The discussion includes an overview of key literacy components critical for effectively navigating the digital healthcare ecosystem. Our article highlights the critical role of EMR in facilitating a patient-centered care (PCC) model, with a special emphasis on making EMR systems accessible and user-friendly for vulnerable groups in developing countries. The core aim of our study is twofold: First, it sheds light on the significant challenges - be they technical, financial, or infrastructural - that obstruct the adoption of sophisticated EMR systems in these areas. Second, it explores the essential aspect of digital health literacy, advocating for its improvement as a vital step toward enabling patients to effectively engage with their medical records. By addressing these key issues, our study seeks to illustrate how enhancing digital health literacy, alongside increasing the accessibility of EMR systems, can empower patients in the developing world to actively participate in their healthcare processes. This dual focus aims to contribute to the broader discourse on improving healthcare outcomes through more inclusive and patient-centered approaches, particularly in settings that are currently underserved by modern healthcare technologies. In conclusion, the editorial advocates for a concerted effort toward creating a more inclusive and empowered healthcare paradigm. It suggests integrating PCC principles, tailoring EMR systems to diverse needs, and enhancing digital health literacy as strategies to harness digital health innovations for better healthcare outcomes and equity. It emphasizes the importance of ongoing investment in education, technology, and policy to fully leverage digital health solutions in the developing world.

Good agricultural practices (GAP) adoption intensity and production constraints in apple orchards of western Nepal.

The declaration of 'Fruits Decade 2016/17-2026/27' and the enaction of the 'NepalGAP Scheme' by the Government of Nepal has redirected increased public investments to promote apple production and marketability in the western high hills of Nepal. This study explores major good agricultural practices (GAP) related to orchard management, factors influencing their adoption intensity, and key underlying constraints to production using cross-sectional survey data from apple growers in Dolpa district, Nepal. The results showed that farmers mostly adopted GAP such as frequent weeding, intercropping, and nutrient management in apple orchards. Based on the negative binomial regression estimates, household characteristics such as gender of the orchard owner, experience, and number of literate household members were found influential in determining the GAP adoption intensity. The analysis of the problem severity index implied that apple production is mostly constrained by limited access to production inputs and transportation. The findings provide useful insights to the farmers and policymakers regarding the current scenario of GAP adoption along with the diversity of barriers that severely limits the realization of apple production potential in western Nepal.

Telemedicine Beyond Borders: A Mixed-Methods Approach to Understanding Cross-National Usage Intention.

Introduction: Drawing on the Unified Theory of Acceptance and Use of Technology 2 and the Diffusion of Innovation Theory, this article investigates the adoption of telemedicine services from a patient perspective in Germany, Spain, and the United States using a mixed-methods approach. Digital health technologies have the potential to improve access to care and to alleviate the burden on traditional health care systems and are becoming more integrated into everyday medicine. Therefore, understanding the factors that impact patients' intentions to use telemedicine is crucial to ensure successful development. Methods: Based on 1,200 surveys collected in Germany, Spain, and the United States, structural equation modeling (IBM SPSS Amos 24) is employed to test the hypotheses. The article also explores how age and gender moderate the proposed relationships. Results: Seven out of the 10 hypotheses (performance expectancy, hedonic motivation, habit, relative advantage, and perceived security) are found to be positive, direct, and statistically significant. Furthermore, findings suggest stronger effects for telemedicine usage intention for younger female users than their male counterparts. Discussion: With digital health technologies becoming more prevalent, the outcomes of this study can endorse the development of effective strategies to promote the adoption of telemedicine, ultimately improving access to care and contributing to the advancement of and modern health care.

Adoption of ICT4D and its determinants: A systematic review and meta-analysis.

Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was conducted on published studies that reported adoption rates and determinant factors using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. We used meta-regression and the partial correlation coefficient to estimate the effect size and establish the correlation between socioeconomic characteristics and the adoption of various technologies reported. Fifty-two studies with 32400 participants met the selection criteria and were included in the study. The results revealed an overall pooled adoption rate of 39 %, with the highest adoption rates in developing countries in Africa and South America. Socioeconomic factors such as age, education, gender, and income were found to be the main determinants and should be considered when designing technology for sustainable adoption. The study also found that young farmers were more susceptible to adoption. Moreover, farmers with higher income levels and educational attainment are more likely to use technology linked to agricultural production, market access, and digital advising, implying that high-income farmers with more education are more tech-savvy. However, this does not exclude low-income and low-educated farmers from adopting the technologies, as many models and strategies with socioeconomic considerations were developed. It is one of the reasons behind the underlying enthusiasm for digital agricultural adoption in low and middle-income countries.

Motherhood and attitudes towards motherhood in women with Mayer-Rokitansky-Küster-Hauser syndrome.

OBJECTIVES: The aim of the study was to find out what proportion of women with MRKHS have decided to become mothers and have children or would like to have children and consider various options for motherhood. Additionally, the survey aimed at identifying factors that might influence the women's decisions and opinions regarding adoption, gestational surrogacy (GS) and uterus transplantation (UTx). MATERIAL AND METHODS: The study group consisted of 100 adult women with MRKHS who filled out questionnaires consisting of 56 questions. The survey was self-administered and anonymous. RESULTS: Most of the study participants were under 30, lived in large cities (> 150 000 inhabitants) and declared to be heterosexuals in a steady relationship (p < 0.05). While 11 participants had children, 66 out of 89 childless women (74%) expressed a desire for motherhood, but as many as 80 surveyed women have felt pressured to have children. The number of participants for whom a biological relationship with offspring was significant and insignificant respectively equaled (p = 1.000). The majority of the study participants supported the process of legalizing GS in Poland (95 vs 4) yet would opt for commercial rather than altruistic GS (64 vs 31) (p < 0.05). Most respondents stated that UTx is consistent with their faith and conscience (91 vs 4) and found UTx ethical (88 vs 4) (p < 0.0001). CONCLUSIONS: The majority of Polish women with MRKHS express the need to become a mother, but only one in ten has a child. The women's interest in biological motherhood is significant.

Digital Adoption by an Organization Supporting Informal Caregivers During COVID-19 Pandemic Showing Impact on Service Use, Organizational Performance, and Carers' Well-Being: Retrospective Population-Based Database Study With Embedded User Survey.

BACKGROUND: The COVID-19 pandemic has catalyzed a move from face-to-face to digital delivery of services by hospitals and primary care. However, little is known about the impact of digital transformation on organizations supporting unpaid caregivers. Since the start of the COVID-19 pandemic, the value of care provided by such informal caregivers is estimated to be £111 billion (US$ 152.7 billion) in England. OBJECTIVE: This study aims to analyze service uptake patterns (including digital service options) over the pandemic period in an English caregivers' support organization covering a population of 0.98 million; measure changes in organizational performance, service efficiency, and quality; and identify the views of caregivers on service provision and future digital delivery. METHODS: This was a retrospective analysis of the use of digital versus nondigital support services (January 2019 to June 2021) by caregivers in city and rural geographic areas. We compared organizational performance and service quality indicators for 2 financial years (2019-2020 and 2020-2021). A survey was conducted to identify barriers and facilitators to digital service uptake, the computer proficiency of caregivers (the Computer Proficiency Questionnaire, 12-item version), and preferences for future digital service provision. Quantitative data were analyzed using Stata 13 (StataCorp LLC). Thematic analysis was used for open-text survey responses. RESULTS: The number of caregivers registered with the organization rose from 14,817 in 2019 to 20,237 in 2021. Monthly contacts rose from 1929 to 6741, with remote contacts increasing from 48.89% (943/1929) to 86.68% (5843/6741); distinctive patterns were observed for city versus rural caregivers. There was an increase in one-to-one contacts (88.8%) and caregiver assessments (20.9%), with no expansion in staffing. Service quality indicators showed an improvement in 5 of 8 variables (all P<.05). The 152 carers completing the survey had similar demographics to all registered caregivers. The Computer Proficiency Questionnaire, 12-item version, mean score of 25.61 (SD 4.40) indicated relatively high computer proficiency. The analysis of open-text responses identified a preference for the organization to continue to offer face-to-face services as well as web-based options. The digital services that were the most highly rated were carers' well-being assessments, support needs checks, and peer support groups. CONCLUSIONS: Our findings show that staff in the caregiver support organization were agile in adapting their services to digital delivery while dealing with increased numbers of registered clients and higher monthly contacts, all without obvious detriment to service quality. Caregivers indicated a preference for blended services, even while recording high computer proficiency. Considering the economic importance of unpaid caregivers, more attention should be given to organizations funded to provide support for them and to the potential for technology to enhance caregivers' access to, and engagement with, such services.