case studies in research pdf

From David E. Gray \(2014\). Doing Research in the Real World \(3rd ed.\) London, UK: Sage.

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Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers

Qualitative case study methodology provides tools for researchers to study complex phenomena within their contexts. When the approach is applied correctly, it becomes a valuable method for health science research to develop theory, evaluate programs, and develop interventions. The purpose of this paper is to guide the novice researcher in identifying the key elements for designing and implementing qualitative case study research projects. An overview of the types of case study designs is provided along with general recommendations for writing the research questions, developing propositions, determining the " case " under study, binding the case and a discussion of data sources and triangulation. To facilitate application of these principles, clear examples of research questions, study propositions and the different types of case study designs are provided. Key Words: Case Study and Qualitative Methods Introduction To graduate students and researchers unfamiliar with case study methodology, there is often misunderstanding about what a case study is and how it, as a form of qualitative research, can inform professional practice or evidence-informed decision making in both clinical and policy realms. In a graduate level introductory qualitative research methods course, we have listened to novice researchers describe their views of case studies and their perceptions of it as a method only to be used to study individuals or specific historical events, or as a teaching strategy to holistically understand exemplary " cases. " It has been a privilege to teach these students that rigorous qualitative case studies afford researchers opportunities to explore or describe a phenomenon in context using a variety of data sources. It allows the researcher to explore individuals or organizations, simple through complex interventions, relationships, communities, or programs (Yin, 2003) and supports the deconstruction and the subsequent reconstruction of various phenomena. This approach is valuable for health science research to develop theory, evaluate programs, and develop interventions because of its flexibility and rigor.

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Methodology

• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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Case Series and Case Reports

• First Online: 21 August 2024

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• Peter D. Fabricant MD, MPH 2  

Summary take-home points for case series and case reports:

Case series may be prospective or retrospective and are essentially single cohort observational studies.

Case series and case reports differ based on the number of study participants evaluated. Typically, case series have five or more patients included, while case reports have fewer than five patients.

Case series and case reports are classified as “level IV” evidence. This is the least rigorous level of evidence (except for expert opinion narratives).

Case series and case reports frequently use descriptive methodology without comparative statistics.

Despite the low level of evidence, case series and case reports comprise important works. They are ideal for reporting rare outcomes or complications, disseminating early clinical results from a new treatment technique, or piloting data to design and power prospective studies.

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Fabricant, P.D. (2024). Case Series and Case Reports. In: Practical Clinical Research Design and Application. Springer, Cham. https://doi.org/10.1007/978-3-031-58380-3_12

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A case study of the assistive technology network in Sierra Leone before and after a targeted systems-level investment

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Many people with disabilities in low-income settings, such as Sierra Leone, do not have access to the assistive technology (AT) they need, yet research to measure and address this issue remains limited. This paper presents a case study of the Assistive Technology 2030 (AT2030) funded Country Investment project in Sierra Leone. The research explored the nature and strength of the AT stakeholder network in Sierra Leone over the course of one year, presenting a snapshot of the network before and after a targeted systems level investment.

Mixed-method surveys were distributed via the Qualtrics software twice, in December 2021 and September 2022 to n=20 and n=16 participants (respectively). Qualitative data was analyzed thematically, while quantitative data was analyzed with the NodeXL software and MS Excel to generate descriptive statistics, visualizations, and specific metrics related to indegree, betweenness and closeness centrality of organizations grouped by type.

Findings suggest the one-year intervention did stimulate change within the AT network in Sierra Leone, increasing the number of connections within the AT network and strengthening existing relationships within the network. Findings are also consistent with existing data suggesting cost is a key barrier to AT access for both organizations providing AT and people with disabilities to obtain AT.

While this paper is the first to demonstrate that a targeted investment in AT systems and policies at the national level can have a resulting impact on the nature and strength of the AT, it only measures outcomes at one-year after investment. Further longitudinal impact evaluation would be desirable. Nonetheless, the results support the potential for systemic investments which leverage inter-organizational relationships and prioritize financial accessibility of AT, as one means of contributing towards increased access to AT for all, particularly in low-income settings.

Assistive technology (AT) is an umbrella term which broadly encompasses assistive products (AP) and the related services which improves function and enhances the user’s participation in all areas of life. 1 Assistive products are “any external products (including devices, equipment, instruments and software) […] with the primary purpose to maintain or improve an individual’s functioning and independence and/or well-being, or to prevent impairments and secondary health conditions”. 2

Recently, awareness for the urgent need to improve access to Assistive Technology has expanded, as 2022 global population statistics highlights one in three people, or 2.5 billion people, requires at least one assistive product. 1 The demand for AT is projected to increase to 3.5 billion people by 2050, yet 90% of them lack access to the products and services they need. 1 , 3 A systemic approach which adequately measures outcomes and impact is urgently required to stimulate evidence-based policies and systems which support universal access to AT. 1 , 4 , 5 However, a systemic approach first necessitates baseline understandings of the existing system, inclusive of sociopolitical context and the key stakeholders working within that context.

Assistive technology is necessary for people with disabilities to engage in activities of daily living, such as personal care or employment, and social engagement. 6 Moreover, people with disabilities also require AT to enact their basic human rights, as outlined in the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD). 7 Unfortunately, many people do not have access to the AT they require, an inequity which is perpetuated within low-income settings. 8 Despite this growing disparity and a well-documented association between poverty and disability, 9 research gaps remain related to AT within low-income settings in the global South. 10

In Sierra Leone, the national prevalence of disability is estimated to be 1.3%, according to the most recent population and housing census data. 11 , 12 This is unusually low, as compared to the 16% global prevalence (World Health Organization, 2022). National stakeholders within the AT network argue this statistic does not adequately represent the true scope of disability in Sierra Leone. 10 Their stance is supported by survey data from the Rapid Assistive Technology Assessment (rATA) across a subset of the population in Freetown, which indicated a dramatically different picture: a 24.9% prevalence of self-reported disability on the basis of the Washington Group Questions (20.6% reported as having “some difficulty”, while 4.3% rated “a lot of difficulty” or above), predominantly mobility and vision related disabilities. 13 The rATA also highlighted 62.5% of older people surveyed indicated having a disability, while the incidence of disability among females was nearly 2% higher than in males. 13

Despite the 2011 Sierra Leone Disability Act being implemented, access to AT in Sierra Leone remains poor. 13 The rATA suggests only 14.9% of those with disabilities in Freetown have the assistive products they require, an alarming rate which also fails to consider people with disabilities not surveyed in rural Sierra Leone where access to such services is likely lower. 13 Meanwhile, it is estimated over half of the population of Sierra Leone lives in poverty, with 13% in extreme poverty. 14 As affordability ranks as the top barrier for AT access, poverty further perpetuates the challenges of people with disabilities within this subset of the population to access necessary AT. 13 Within the context of low-resource settings it is therefore imperative that those resources which are allocated to provide assistive products are used in the most optimal manner, and that different stakeholders work together to co-construct a systemic approach which can identify and prioritise those most in need.

This paper presents a dataset collected in tandem with an Assistive Technology 2030 (AT2030) funded Country Investment project in Sierra Leone in collaboration with Clinton Health Access Initiative (CHAI). The study aimed to explore the nature and strength of the assistive technology stakeholder network in Sierra Leone over the course of one year through a mixed methods survey methodology. We provide a systemic snapshot of the AT network in Sierra Leone, highlighting what assistive products are available, who provides and receives them, and how. We also present a relational analysis of the existing AT network, inclusive of the organizations working within areas of AT and their degrees of connectivity and collaboration amongst one another. We hope that such data can strengthen the provision of AT in Sierra Leone through identifying assistive product availability, procurement, and provision, as well as the nature of the relationships between (the relationality ) of the AT network. We also sought to provide an overview of any possible changes to the network over the course of a one-year investment by AT2030.

This study used a mixed methods survey approach, facilitated by Qualtrics online survey software. Surveys were collaboratively developed and distributed at the two time periods in December 2021 and September 2022 (herein respectively described as Baseline=T1 and Follow Up= T2).

Intervention

This paper presents the Sierra Leone country project built within a larger, targeted investment in assistive technology systems development in four African countries,by AT2030, a project led by the Global Disability Innovation Hub and funded by UK Aid. The four in-country projects were administered by Clinton Health Access Initiative (CHAI) in partnership with local government ministries and agencies. As part of this investment, CHAI and its partners convened a Technical Working Group which brought together key stakeholders in the assistive technology field. Over the course of one year, the Technical Working Group had an overarching goal to develop and strengthen key assistive technology related policies in each of the four countries. The data in this study on the AT network in Sierra Leone was collected at the outset and following completion of the AT2030 investment, by researchers who were not part of the investment process, thus allowing for third-party evaluation. To maintain objectivity, neither CHAI nor the funder were responsible for the design, data collection, analysis or reporting of results, but this paper has benefited from a programmatic perspective provided by CHIA.

Participants

Participants included members of relevant ministries involved in assistive technology leadership and/or delivery, and staff representing relevant non-profit organizations (both international and local), service providers and organizations for persons with disabilities. Participants were asked to respond on behalf of their organization. All prospective participants were identified by the researchers and local project partners, including those coordinating the investment identified above, and added to a distribution list on Qualtrics, which only contained pertinent identifying information such as name, organization, and email. Over the course of the study, n=20 (T1) and n=16 (T2) participants consented to and completed surveys. While the relatively small sample size may inherently restrict the generalizability of this study, the sample size is reflective of the size of the assistive technology network in Sierra Leone, which we aimed to explore.

Data collection

The survey was emailed to the distribution list at two time points: December 2021 (T1) and September 2022 (T2). Two reminder emails were sent out via Qualtrics at two-week intervals following each time point, to participants who had not yet completed the surveys as a means to stimulate participant retention. The T1 and T2 surveys were identical, however the T2 survey utilized display logic functionalities such as conditional skipping to prevent retained respondents from completing redundant questions such as demographic information. If a participant completed the survey for the first time during the T2 period, they received the survey in its entirety without conditional skipping.

Survey content

Survey questions aimed to capture what AT is available, how it is being provided, who is receiving it and how. Questions also consisted of demographic information and qualitative prompts to identify participants’ roles within the AT network and critical challenges experienced in enacting their roles, as well as the nature and strength of relationships between stakeholders. Additional data was collected on participatory engagement in policy development, knowledge of assistive technology, and capacity for leadership which will be published separately.

Using the methodology reported by Smith and colleagues, 15 the WHO priority assistive products list was provided for respondents to select the products and associated services their organization provides. Additionally, the survey requested respondents to select from a list of organizations, which ones they were aware of as working within AT areas in Sierra Leone, followed by a subsequent 5-point Likert scale (1-5, 1= no relationship, 5= collaboration) to indicate which organizations they had working relationships with and to what extent. In attempts to maximize response rates and maintain participant retention, two reminder emails were sent to participants for T1 and T2; however, challenges encountered were participant drop-out from T1 to T2.

Data analysis

Data was reviewed across the two time periods and descriptive statistics (counts and means) were calculated for all variables using MS Excel software. Qualitative data employed content analysis of the text responses from each open-ended survey question, with a particular emphasis on themes which represented commonalities or a lack of representation across all stakeholders. Network data was analyzed using the NodeXL software and MS Excel to generate visualizations, and specific metrics related to indegree, betweenness and closeness centrality of organizations grouped by organization type. Indegree represents the total number of incoming connections per organization, while weighted indegree represents the sum of weights (strength) of each connection. Closeness centrality represents the relationship of the organization to the centre of the network (lower scores indicate greater centrality). To accommodate for different response rates at baseline and follow up, indegree was calculated as a proportion of incoming connections out of the total respondents (n) for that time point. Weighted indegree was calculated as a proportion of the sum of weights of incoming connections divided by the total possible weighting for the respondents for that time point (i.e. n*5). Statistical comparisons for overall network metrics across T1 and T2 were calculated using a paired t-test in SPSS v.28. While means are also reported by organization type as a subsample of the overall data, no statistical tests were carried out due to small subsample sizes.

The study received ethical approval from Maynooth University and the Sierra Leone Ethics and Scientific Review Committee. Each survey contained a mandatory informed consent section which required completion prior to respondents accessing the survey questions. Respondents were not required to answer any specific questions and were not coerced to participate. All respondents received a unique identification code to preserve anonymity, and any identifying information was removed prior to data analysis.

A total of 27 participants from 24 organizations participated in the surveys across both baseline and follow-up time points (T1 n=20 and T2 n= 16). Nine individuals and 11 organizations were retained across both T1 and T2 surveys. The majority of participants represented International non-governmental organizations (n=9), followed by Organizations of Persons with Disabilities (n=8), Government Ministry (n=4), Service Delivery organisations (n=4) and Academic Institutions (n=2).

Additionally, the respondents were requested to identify multiple areas of AT that their organizations were aligned with. Advocacy ranked as the top selection (24.5%), followed by direct service provision (14.9%), human resources and capacity building (14.9%), policy or systems development (13.8%), product selection and/or procurement (13.8%), data and information systems (11.7%), and financing (6.4%).

Assistive Products in Sierra Leone

Participants were asked to select from the APL which products and/or product services they provide. Manual wheelchairs, crutches, canes, lower limb prosthetics and orthopaedic footwear were the most selected across both time points. Table 1 lists summarises the types of assistive products and services provided in Sierra Leone, and the number of organisations providing each product and/or service across all 50 APL products.

*Other assistive product offered but not on the Assistive Product List **Assistive product not provided, only service related to the prescription, servicing and maintenance, and customization of that Assistive product

Respondents indicated that the products they provide were most commonly procured by their organizations through purchase (38.7%), followed by donation (29%), building products themselves (22.6%) or other (9.7%), which was explicated as recycling used products.

Providers of Assistive Products in Sierra Leone

Participants were asked to indicate whether their organization provided assistive products and/or related services. The findings highlighted 38.3% of stakeholders directly provided AT and 40.4% directly provided AT related services to beneficiaries, while only 21.3% indicated they do not provide AT or AT related services at all.

More specifically, respondents who did indicate providing products and/or services indicated they provided the following services: provision of locally made assistive products, repairs and maintenance of assistive products, education and training of users on the utility of assistive products, referrals of people with disabilities to service providers, prosthetic and orthotics, accessibility assessments, and rehabilitation service provision. Participants whom do not directly provide AT or AT related services indicated their work falls within AT advocacy, fundraising, procurement, policy, and research.

When asked about the challenges they experienced procuring and distributing these products to beneficiaries, qualitative data indicated difficulty sourcing materials, challenges obtaining products due to poor infrastructure, poor quality standards and/or customizability of products, and low technical and managerial support as common barriers. High product and material costs and inadequate funds from both the organizations and beneficiaries was the most commonly cited challenge.

Beneficiaries of Assistive Products in Sierra Leone

When probed on the number of clients they served each month, respondents indicated the range of beneficiaries spanned from as little as 10 per month to upwards of 1000, while one respondent noted there was no fixed number as they serve at the national level. Respondents noted that their beneficiaries were predominantly people with mobility related disabilities or functional limitations (21.4%), closely followed by people with vision disabilities (17.9%), communication disabilities (15.4%) and hearing disabilities (13.1%).

Participants emphasized children and adolescents were the highest populations served, with an equal representation among the ages of 5-12 (23.7%) and 13-18 (23.7%). Adults aged 20-50 years (21%) closely followed, while children under 4 (15.8%) and adults over 50 years of age (15.8%) are equally less represented as beneficiaries of assistive products and services in Sierra Leone.

Respondents whose organizations provide assistive products indicated that their beneficiaries most commonly received APs free of cost (63.2%), followed by client payment (26.3%) and a fixed cost structure (10.5%).

Network Analysis

Respondents were asked to indicate which organizations in the AT network they were aware of, and subsequently to rate the strength of their relationship with the organizations they indicated an awareness of. The degree of relationality among these stakeholders involved in the assistive technology network was then analyzed across the two time points and organizational relationships were visualized using the NodeXL software, presented in Figure 1 and Figure 2 . The colored nodes in the figures depict the various sub-types of organizations, while the lines between the nodes represent their relationships, with thicker lines indicating stronger relationships. The red nodes represent government ministries and agencies, the green represent service delivery organizations, blue represents organization of persons with disabilities, black represents NGOs and yellow represents academic institutions.

Overall, this representation depicts a relatively centralized network with a higher degree of connections between organizations. Furthermore, ministries and government agencies appear towards the centre of the network, indicating a relatively greater role in connecting organizations to one another, however it is noteworthy that these are not the most central organizations in the network.

Table 2 provides quantitative data which demonstrates the overall number and strength of interconnections among the organizations within the assistive technology network in Sierra Leone. Indegree is the number of identified inward connections, or the number of other organizations who identified a connection with that organization. Indegree data are presented as a mean value per organization type to preserve anonymity. The data visualized in Table 2 significantly increased over one year from baseline to follow up, while the relative centrality of organizations did not change, at least over the one-year time period of this study.

SD – standard deviation, NGO – non-governmental organization *Differs significantly from baseline at p<0.01 (two-tailed)

Overall, there was a statistically significant increase in indegree scores between the two timepoints suggesting a higher level of connection among AT organizations in Sierra Leone following the 1-year investment. This suggests those organizations built more relationships and expanded their reach within the AT network. As relationship strength was measured on a 5-point scale (no awareness, awareness, communication, cooperation, collaboration), we can interpret increases in weighted indegree to suggest greater inter-organizational working between members of the network (please refer to Table 2 ).

These findings suggest the one-year intervention did indeed stimulate change within the AT network in Sierra Leone, increasing the number connections within the AT network, and strengthening existing relationships within the network.

The most common assistive products available in Sierra Leone were indicated to be manual wheelchairs, crutches, canes, lower limb prosthetics and orthopaedic footwear. This aligns with our participants ranking mobility related disabilities or functional limitations as the most common reason for beneficiary referral, as well as the rATA data 13 ). The global report on AT notes “the type, complexity, magnitude and duration of a humanitarian crisis impacts the need for and supply of assistive technology”. 1 When we factor in the sociopolitical context of Sierra Leone and its history of civil war, and the population requiring these products due to political violence, such as lower limb amputations, it is also not surprising that mobility related products are so widely available due to population need. Moreover, as many low-income settings procure their products through donations, often from abroad, these items are probable to be in high circulation in relation to the high global prevalence of mobility related disabilities, likely shaping what products donors perceive as being most relevant. 1

Interestingly, data from the rATA shows the people with disabilities who did have AP, most often obtained their product(s) through purchase, despite cost being the most significant barrier to access. 13 As such, these APs were often purchased through informal and unregulated providers who offer lower costs, such as market vendors. 16 In comparison, our findings demonstrated AT stakeholders providing AP did so predominantly at no-cost. This discrepancy could suggest those who need AT most are not aware of the regulated providers who offer free AP and/or AP services in Sierra Leone, or they simply cannot access them due to infrastructural barriers, or not having AT needed to navigate their environment in the first place. For example, our data highlighted only two organizations offering spectacles, yet the rATA indicated spectacles as being the most common AP obtained by people with disabilities sampled in Sierra Leone. This further supports our interpretation that access to free APs is limited if only a small subset of regulated providers are offering them, leading to an increased reliance on people with disabilities procuring APs from informal and unregulated providers in Sierra Leone. An interconnected and coherent national AT network could offer a way forward, should collaborative relationships among AT stakeholders continue to forge and their collective resources, contacts and beneficiaries were to be cross-pollinated for the advancement of beneficiary access.

As technology and what constitutes as AT continues to advance, juxtaposed with the prevalence of disability increasing, there is a risk that the gap in access to AT will continue to rise. 17 It is therefore paramount that the goal of improving AT related outcomes, such as improved access to AT for all, is first warranted by the measurement of such outcomes. 4 This paper has attempted to provide a systemic snapshot of the AT network in Sierra Leone, highlighting key information such as what assistive products are presently available, who provides them, who receives them (and how), and the relational cohesion of the network itself.

This paper is the first to demonstrate that a targeted investment in assistive technology systems and policies at the national level can have a resulting impact on the nature and strength of the assistive technology ecosystem relationships. It is therefore recommended as an intervention to engage stakeholders within the assistive technology space, in particular policy makers who have power to formulate AP related policy and access. However, this work is limited in scope as it only provides a reassessment of outcomes following the one-year investment, and does provide a more longitudinal evaluation of the impact of that investment in the longer term.

Future research is recommended to replicate the work done to date to evaluate whether there is an improvement in access to assistive technologies over a longer period of time as a result of targeted policy and systems change, as well as larger impacts on policy formulation for AP access. For example, attention to data collection of which types and categories of AP are being manufactured locally can inform policy formation to encourage continuity of local manufacturing, while improving access to AP. Moreover, further studies to investigate factors influencing limited uptake of free AP by persons with disabilities, as explicated above and discovered in this study, are recommended.

CONCLUSIONS

Cohesive AT networks are particularly important in low-income settings such as Sierra Leone, where the intersection of poverty and disability disproportionately reduces people with disabilities’ access to the AT they need. Power and colleagues 18 have proposed the Assistive Technology Embedded Systems Thinking (ATEST) Model as a way of conceptualising the embedded relationships between individual-community- system-country-world influences on assistive technology provision. This paper suggests that even where resources are scarce and systemic relationships are uneven, an internationally-funded investment, which embraces the participation of country-level stakeholders and service providing organisations can result in enhanced inter-organisational working, which in turn has the potential to use existing resources more optimally, allowing greater access to services for individuals most in need.

The findings of this paper demonstrate an increase in organizational collaboration can strengthen assistive technology networks, however key barriers to access remain cost for both organizations providing AT and people with disabilities to obtain AT. Future work should use systemic approaches to leverage organizational relationality and prioritize financial accessibility of AT within systemic approaches to AT policy and practice, to leverage existing resources (particularly no-cost AT) and advance towards the ultimate goal of increased access to AT for all.

Ethics Statement

Ethical approval for the study was granted by Maynooth University and the Sierra Leone Ethics and Scientific Review Committee. The study involved human participants but was not a clinical trial. All participants provided informed consent freely and were aware they could withdraw from the study at any time.

Data Availability

All data generated or analysed during this study are included in this article.

This work was funded by the Assistive Technology 2030 project, funded by the United Kingdom Foreign Commonwealth Development Office (FCDO; UK Aid) and administered by the Global Disability Innovation Hub.

Authorship Contributions

Stephanie Huff led the manuscript preparation and contributed to data analysis. Emma M. Smith led the research design, data collection, analysis and contributed to manuscript preparation. Finally, Malcolm MacLachlan contributed to research design, analysis, manuscript review, and supervision. All authors read and approved the final manuscript.

Disclosure of interest

The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests.

Correspondence to:

Emma M. Smith Maynooth University Maynooth, Co. Kildare Ireland [email protected]

Submitted : February 27, 2024 BST

Accepted : June 26, 2024 BST

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