Iterative categorisation (IC) (part 2): interpreting qualitative data

Neale, Joanne

doi:10.1111/add.15259

Cited by 57 publications

(29 citation statements)

References 36 publications

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“…No formal definition of power was used since the intention was to be as inclusive as possible to minimize the chances that any manifestations of power (or powerlessness) would be overlooked. All interview extracts labelled as 'power' were then exported into a single Microsoft Word document and analysed inductively following the stages of Iterative Categorisation (IC) (Neale, 2016(Neale, , 2021. To this end, HW first read and re-read the contents of the Word document and then summarised each text extract into one or more bullet-points labelled by participant identifier.…”

Section: Discussionmentioning

confidence: 99%

Contraceptive choice and power amongst women receiving opioid replacement therapy: qualitative study

Neale

Werthern

Alhusein

et al. 2021

Drugs: Education, Prevention and Policy

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Background: Women receiving treatment for opioid use disorder have low levels of contraception use and high rates of unintended pregnancies, abortion and children being adopted or fostered. This paper aims to understand the relationship between contraceptive choice and power amongst women receiving Opioid Replacement Therapy (ORT). Methods: During 2016/17, semi-structured interviews were undertaken with 40 women (aged 22-49 years) receiving ORT in the South of England. Data relating to the latent concept of power were inductively coded and analysed via Iterative Categorisation. Findings: Power manifested itself through six interconnected 'fields': i. 'information about fertility and contraception'; ii. 'access to contraception'; iii. 'relationships with professionals and services'; iv. 'relationships with male partners'; v. 'relationships with sex work clients'; and vi. 'life priorities and preferences'. Each field comprised examples of women's powerlessness and empowerment. Even when women appeared to have limited power or control, they sometimes managed to assert themselves. Conclusions: Power in relation to contraceptive choice is multi-faceted and multi-directional, operating at both individual and structural levels. Informed decision-making depends on the provision of clear, non-judgemental information and advice alongside easy access to contraceptive options. Additional strategies to empower women to make contraceptive choices and prevent unplanned pregnancies are recommended.

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Section: Discussionmentioning

confidence: 99%

Contraceptive choice and power amongst women receiving opioid replacement therapy: qualitative study

Neale

Werthern

Alhusein

et al. 2021

Drugs: Education, Prevention and Policy

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“…During data analysis, researchers use the data triangulation method to provide additional sources for improving accuracy, credibility, validity, and reliability [21]. Data analysis is an iterative or recurring process that leads to the creativity or development of new ideas to clarify the meaning of data [22].…”

Section: Discussionmentioning

confidence: 99%

Fraud in Nonprofit Organizations: How to Mitigate it?

Blye

Luamba

2021

IJBMR

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In the United States, nonprofit organizations lose at least $40 billion every year because of fraud. Fraud negatively affects nonprofit organizations’ productivity. Nonprofit managers need effective strategies to prevent fraud, increase trust among stakeholders, and ensure longevity. The purpose of this multiple case study was to explore strategies to mitigate fraud in nonprofit organizations. The conceptual framework of this study was Cressey’s fraud triangle theory. Data of this study were collected through interview questions from 4 top successful managers of nonprofit organizations in Maryland. The emerging themes after data analysis were ethics and regulatory compliance, transformational leadership, and managerial skills.

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“…Data analyses followed the stages of Iterative Categorization [ 27 , 28 ]. To begin with, the audio files were transcribed verbatim by a professional transcription service and the transcriptions were uploaded to the software data management program MAXQDA (version 2018.2; VERBI Software GmbH) [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

Lessons for Uptake and Engagement of a Smartphone App (SURE Recovery) for People in Recovery From Alcohol and Other Drug Problems: Interview Study of App Users

Neale¹,

Bowen²

2022

JMIR Hum Factors

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Background Mobile health apps promoting health and well-being have substantial potential but low uptake and engagement. Barriers common to addiction treatment app uptake and engagement include poor access to mobile technology, Wi-Fi, or mobile data, plus low motivation among non–treatment-seeking users to cut down or quit. Working with people who used substances, we had previously designed and published an app to support recovery from alcohol and other drug problems. The app, which is available for free from the Apple App Store and Google Play, is called SURE Recovery. Objective The aim of this paper is to undertake a qualitative study to ascertain end users’ views and experiences of the SURE Recovery app, including how it might be improved, and present the findings on uptake and engagement to assist other researchers and app developers working on similar apps for people experiencing alcohol and other drug problems. Methods Semistructured telephone interviews were conducted with 20 people (n=12, 60%, men and n=8, 40%, women aged 25-63 years; all identifying as White British) who had varied patterns of using the app. The audio recordings were transcribed, and the data were coded and analyzed through Iterative Categorization. Results Analyses identified three main factors relevant to uptake (discoverability of the app, personal relevance, and expectations and motivations) and three main factors relevant to engagement (the appeal and relevance of specific features, perceived benefits, and the need for improvements). The findings on uptake and engagement were largely consistent with our own earlier developmental work and with other published literature. However, we additionally found that uptake was strongly affected by first impressions, including trust and personal recommendations; that users were attracted to the app by their need for support and curiosity but had relatively modest expectations; that engagement increased if the app made users feel positive; and that people were unlikely to download, or engage with, the app if they could not relate to, or identify with, aspects of its content. Conclusions Incorporating end-user views into app design and having a network of supportive partners (ie, credible organizations and individuals who will champion the app) seem to increase uptake and engagement among people experiencing alcohol and other drug problems. Although better digital literacy and access to devices and mobile data are needed if addiction recovery apps are to reach their full potential, we should not evaluate them based only on observable changes in substance use behaviors. How using an app makes a person feel is more transient and difficult to quantify but also relevant to uptake and engagement.

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Iterative categorisation (IC) (part 2): interpreting qualitative data

Cited by 57 publications

References 36 publications

Contraceptive choice and power amongst women receiving opioid replacement therapy: qualitative study

Contraceptive choice and power amongst women receiving opioid replacement therapy: qualitative study

Fraud in Nonprofit Organizations: How to Mitigate it?

Lessons for Uptake and Engagement of a Smartphone App (SURE Recovery) for People in Recovery From Alcohol and Other Drug Problems: Interview Study of App Users

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