What Do Biomedical Researchers Want from Biobanks? Results of an Online Survey

Aims: The purpose of biobanking is to provide biospecimens and associated data to researchers, yet the perspectives of biobank research users have been under-investigated. This study aimed to ascertain biobank research users' needs and opinions about biobanking services. Methods: An online survey was developed, which requested information about researcher demographics, localities of biobanks accessed, methods of sourcing biospecimens, and opinions on topics including but not limited to, application processes, data availability, access fees, and return of research results. There were 27 multiple choice/check box questions, 4 questions with a 10-point Likert scale, and 8 questions with provision for further comment. A web link for the survey was distributed to researchers in late 2019/early 2020 in four Australian states: New South Wales, Victoria, Western Australia, and South Australia. Results: Respondents were generally satisfied with biobank application processes and the fit for purpose of received biospecimens/data. Nonetheless, most researchers (n = 61/99, 62%) reported creating their own collections owing to gaps in sample availability and a perceived increase in efficiency. Most accessed biobanks (n = 58/74, 78%) were in close proximity (local or intrastate) to the researcher. Most researchers had limited the scope of their research owing to difficulty of obtaining biospecimens (n = 55/86, 64%) and/or data (n = 52/85, 60%), with the top three responses for additional types of data required being "more long term follow up data," "more clinical data," and "more linked government data." The top influence to use a particular biobank was cost, and the most frequently suggested improvement was reduced direct "cost of obtaining biospecimens." Conclusion: Biobanks that do not meet the needs of their end-users are unlikely to be optimally utilized or sustainable. This survey provides valuable insights to guide biobanks and other stakeholders, such as developing marketing and client engagement plans to encourage local research users and discouraging the creation of unnecessary new collections.

The Role of Experience and Gender in Founders' Business Planning Activities: A Meta Analysis

The question of why entrepreneurs undertake business planning activities differently, ranging from planning “in the head” to generating formal written documents, is still impenetrable. Aggregating data on 11,064 observations from 32 independent data set, this study meta-analyzed how business experience and gender influence entrepreneurs' disposition to business planning behaviors. Surprisingly, contradictory to some extant views that entrepreneurs without prior experience are more likely to make business plans, we found that both managerial experience and entrepreneurial experience positively influence entrepreneurs' subsequent business planning behaviors. Drawing insight from the effectuation and institutional perspectives, this study showed that, rather than entrepreneurial experience, managerial experience motivates entrepreneurs to generate formal business plans. For entrepreneurs who create formal business plans, both entrepreneurial experience and managerial experience enhance their business planning sophistication. In addition, we examined the moderating effects of gender on the relationship between business experience and business planning. The results suggested that female entrepreneurs with entrepreneurial experience are more likely to undertake business planning behaviors and create formal business plans than their male counterparts.

Advancing Professionalization of Biobank Business Operations: Performance and Utilization

Biobanks are now in the spotlight as key enablers supporting preclinical, clinical, and environmental research. Awareness of their value has increased along with the need for these infrastructures to be sustained through business-focused practices. Following our 2017 pilot survey on biobank business planning, we initiated a more comprehensive 38-question multiple-language worldwide survey on biobank sustainability. Two hundred seventy-six biobanks of various sizes and stages of business planning (in place, in progress or none) responded. About two-thirds were established in the last 10 years. Survey results confirm our hypothesis that biobanks with business plans or preparing such plans are trending toward more professional structures. Specific survey data focusing on performance metrics and utilization, as related to sustainability, are presented. Biobanks most frequently measured basic performance metrics (sample utilization, samples collected, samples distributed, internal projects supported). Metrics less often reported included sample and data quality, cost recovery, citations, and publications, typically correlating with higher levels of biobank complexity and professionalism. Biobanks reported supporting projects for both internal and external use, with support of projects within their own organizations as the main driver of biobanks, independent of business plan status. Having a business plan seemed to be a key factor for biobanks that had developed sustained support for external commercial projects. While under half of the biobanks reported both target and actual utilization rates, the responses provided valuable data on utilization. Target utilization rates were much higher (2.5 to 5 times higher) than the rate of actual use. Many of the biobanks report less than 10% utilization. Biobanks with low utilization rates make sustainability a very distant and likely unreachable goal. Our survey has provided some basic data about biobank business planning globally. Continued research should be done, with the data and information shared within the community for the good of all biobank stakeholders.

Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies

BACKGROUND

Many promising technological innovations in health and social care are characterized by nonadoption or abandonment by individuals or by failed attempts to scale up locally, spread distantly, or sustain the innovation long term at the organization or system level.

OBJECTIVE

Our objective was to produce an evidence-based, theory-informed, and pragmatic framework to help predict and evaluate the success of a technology-supported health or social care program.

METHODS

The study had 2 parallel components: (1) secondary research (hermeneutic systematic review) to identify key domains, and (2) empirical case studies of technology implementation to explore, test, and refine these domains. We studied 6 technology-supported programs-video outpatient consultations, global positioning system tracking for cognitive impairment, pendant alarm services, remote biomarker monitoring for heart failure, care organizing software, and integrated case management via data sharing-using longitudinal ethnography and action research for up to 3 years across more than 20 organizations. Data were collected at micro level (individual technology users), meso level (organizational processes and systems), and macro level (national policy and wider context). Analysis and synthesis was aided by sociotechnically informed theories of individual, organizational, and system change. The draft framework was shared with colleagues who were introducing or evaluating other technology-supported health or care programs and refined in response to feedback.

RESULTS

The literature review identified 28 previous technology implementation frameworks, of which 14 had taken a dynamic systems approach (including 2 integrative reviews of previous work). Our empirical dataset consisted of over 400 hours of ethnographic observation, 165 semistructured interviews, and 200 documents. The final nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework included questions in 7 domains: the condition or illness, the technology, the value proposition, the adopter system (comprising professional staff, patient, and lay caregivers), the organization(s), the wider (institutional and societal) context, and the interaction and mutual adaptation between all these domains over time. Our empirical case studies raised a variety of challenges across all 7 domains, each classified as simple (straightforward, predictable, few components), complicated (multiple interacting components or issues), or complex (dynamic, unpredictable, not easily disaggregated into constituent components). Programs characterized by complicatedness proved difficult but not impossible to implement. Those characterized by complexity in multiple NASSS domains rarely, if ever, became mainstreamed. The framework showed promise when applied (both prospectively and retrospectively) to other programs.

CONCLUSIONS

Subject to further empirical testing, NASSS could be applied across a range of technological innovations in health and social care. It has several potential uses: (1) to inform the design of a new technology; (2) to identify technological solutions that (perhaps despite policy or industry enthusiasm) have a limited chance of achieving large-scale, sustained adoption; (3) to plan the implementation, scale-up, or rollout of a technology program; and (4) to explain and learn from program failures.