Coproduction: when users define quality

Elwyn, Glyn; Nelson, Eugene C.; Häger, Andreas; Price, Amy

doi:10.1136/bmjqs-2019-009830

Cited by 134 publications

(104 citation statements)

References 25 publications

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“…It is not an add-on to the delivery of public service but a core element of effective management of public service on a day-to-day operational basis (Osborne & Strokosch, 2013 ) that requires sufficient resources, such as a) organizational flexibility with sufficient time and resources, b) good interpreting services, and c) collaborating with social services and families if needed (Priebe et al, 2011 ). Despite some scepticism about the resource effectiveness of co-production (Holland-Hart et al, 2019 ), allowing healthcare services to become shaped and tailored by co-productive principles might help avoid costly mistakes and be a time- and cost-efficient way of meeting a patient’s needs (Elwyn et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Under what circumstances can immigrant patients and healthcare professionals co-produce health? - an interpretive scoping review

Radl-Karimi

Nicolaisen

Sodemann

et al. 2020

International Journal of Qualitative Studies on Health and Well

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Purpose Immigrant patients run a risk of receiving lower quality of care. Co-production, as the concept of how to collaboratively create valuable healthcare service for the patient, offers a new perspective that might help. The scoping review aimed at identifying and analysing factors facilitating co-production between immigrant patients and healthcare professionals. Methods We searched seven scientific databases for peer-reviewed publications of all study designs. Two reviewers independently screened the publications for eligibility and performed data extraction. Data were analysed by applying an inductive, interpretive approach for data synthesis. Results Fifteen publications were included for analysis. We identified six factors hat facilitate co-production: 1) prioritizing co-production in the organization, 2) providing a safe environment that promotes trust and patience, 3) using a language the patient understands, 4) respecting the patient’s knowledge and priorities, 5) improvising with knowledge and courage, and 6) engaging in self-reflection. Conclusions The scoping review illustrated that co-production with immigrant patients can be successful if the system and professionals are interested and prepared. Immigrant patients could be a valuable source of information and powerful co-producers of their own health. The study contributed to a growing body of research on patient-professional co-production in healthcare and might also prove relevant for other disadvantaged patient groups.

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Section: Discussionmentioning

confidence: 99%

Under what circumstances can immigrant patients and healthcare professionals co-produce health? - an interpretive scoping review

Radl-Karimi

Nicolaisen

Sodemann

et al. 2020

International Journal of Qualitative Studies on Health and Well

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show abstract

“…Discovering the clear differences in topics between patient and clinician interviews validates the need to include both stakeholders in the design and development of remote medical sensing apps. This is an extension of the coproduction concept wherein patients and clinicians combine to help support patients contributing to the management of their own conditions [ 48 , 49 ]. As the use of sentiment analysis and LDA evolve, our results suggest that they can potentially be used alongside more traditional qualitative methods to examine the concepts and perceptions within the context of user-centered design and interviews.…”

Section: Discussionmentioning

confidence: 99%

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

Petersen¹,

Halter²,

Kotz³

et al. 2020

JMIR Mhealth Uhealth

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Background Sarcopenia, defined as the age-associated loss of muscle mass and strength, can be effectively mitigated through resistance-based physical activity. With compliance at approximately 40% for home-based exercise prescriptions, implementing a remote sensing system would help patients and clinicians to better understand treatment progress and increase compliance. The inclusion of end users in the development of mobile apps for remote-sensing systems can ensure that they are both user friendly and facilitate compliance. With advancements in natural language processing (NLP), there is potential for these methods to be used with data collected through the user-centered design process. Objective This study aims to develop a mobile app for a novel device through a user-centered design process with both older adults and clinicians while exploring whether data collected through this process can be used in NLP and sentiment analysis Methods Through a user-centered design process, we conducted semistructured interviews during the development of a geriatric-friendly Bluetooth-connected resistance exercise band app. We interviewed patients and clinicians at weeks 0, 5, and 10 of the app development. Each semistructured interview consisted of heuristic evaluations, cognitive walkthroughs, and observations. We used the Bing sentiment library for a sentiment analysis of interview transcripts and then applied NLP-based latent Dirichlet allocation (LDA) topic modeling to identify differences and similarities in patient and clinician participant interviews. Sentiment was defined as the sum of positive and negative words (each word with a +1 or −1 value). To assess utility, we used quantitative assessment questionnaires—System Usability Scale (SUS) and Usefulness, Satisfaction, and Ease of use (USE). Finally, we used multivariate linear models—adjusting for age, sex, subject group (clinician vs patient), and development—to explore the association between sentiment analysis and SUS and USE outcomes. Results The mean age of the 22 participants was 68 (SD 14) years, and 17 (77%) were female. The overall mean SUS and USE scores were 66.4 (SD 13.6) and 41.3 (SD 15.2), respectively. Both patients and clinicians provided valuable insights into the needs of older adults when designing and building an app. The mean positive-negative sentiment per sentence was 0.19 (SD 0.21) and 0.47 (SD 0.21) for patient and clinician interviews, respectively. We found a positive association with positive sentiment in an interview and SUS score (ß=1.38; 95% CI 0.37 to 2.39; P=.01). There was no significant association between sentiment and the USE score. The LDA analysis found no overlap between patients and clinicians in the 8 identified topics. Conclusions Involving patients and clinicians allowed us to design and build an app that is user friendly for older adults while supporting compliance. This is the first analysis using NLP and usability questionnaires in the quantification of user-centered design of technology for older adults.

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“…Stirman et al [37] reflect that consumers of mental health services are often unaware of evidencebased psychosocial treatments and their perspectives on implementation and sustainability are underrepresented in theory and research. While people with lived experience of mental health issues have been central to the [77][78][79][80], these results suggest that further research on how parent-clients can influence practitioner's Let's Talk practice and drive organisational capacity would seem warranted. The reflective space created by the participatory process of the model development, enabled the AMHS to consider how to utilise the perspectives of people with lived experience to further sustainability.…”

Section: Discussionmentioning

confidence: 99%

An explanatory model of factors enabling sustainability of let’s talk in an adult mental health service: a participatory case study

Allchin

O’Hanlon

Weimand

et al. 2020

Int J Ment Health Syst

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Background: While effective interventions have been developed to support families where a parent has a mental illness in Adult Mental Health Services, embedding and sustaining them is challenging resulting in families not having access to support. This study developed an explanatory model of influencers that had enabled sustainability of the Let's Talk intervention in one service. Methods: A participatory case study was used to build an explanatory model of sustainability at the service using theoretical frameworks. Qualitative and quantitative data was collected about practitioner's practice and the organisation's implementation process and capacity to support practice. A local research group worked with the researcher using a transforming data approach through description, analysis and interpretation. Results: Influencers were grouped into four major categories: (1) External social, political and financial context, (2) Resources, (3) Prior organisational capacity and (4) Sustainability Factors. The last category, Sustainability factors, was divided into three subcategories: (4.1) Practitioner (4.2) Organisation and (4.3) Parent-Client. These categories form part of an explanatory model for the key influencers of continued practitioner practice and organisational capacity to support practice. Conclusions and implications for practice: In this case study, the pre-existing organisational context along with practitioner, organisation and parent-client factors operated together to influence sustainability. The results suggest that sustainability is more likely to be supported by both linking Let's Talk to existing organisational identity, capacity, structures and relationships and by supporting mutual adaptations to improve the fit. Additionally, by understanding that setbacks are common and ongoing adjustments are needed, implementers are able to have realistic expectations of sustainability.

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Coproduction: when users define quality

Cited by 134 publications

References 25 publications

Under what circumstances can immigrant patients and healthcare professionals co-produce health? - an interpretive scoping review

Under what circumstances can immigrant patients and healthcare professionals co-produce health? - an interpretive scoping review

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

An explanatory model of factors enabling sustainability of let’s talk in an adult mental health service: a participatory case study

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