Applying a mixed methods design to test saturation for qualitative data in health outcomes research

Fofana, Fatoumata; Bazeley, Pat; Regnault, Antoine

doi:10.1371/journal.pone.0234898

Cited by 22 publications

(14 citation statements)

References 32 publications

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“…We used a sequential mixed methods study design to guide our analytical approach [29,30]. Data are reported by study site and presented as a number (proportion) for categorical variables (e.g.…”

Section: Discussionmentioning

confidence: 99%

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Health, Psychosocial, and Economic Impacts of the Covid-19 Pandemic on People with Chronic Conditions in India: A Mixed Methods Study

et al. 2020

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Section: Discussionmentioning

confidence: 99%

“…The interview transcripts were coded thematically using MAXQDA software version 2020 [30]. Initial codes were developed and applied initially to a small number of transcripts, enabling further iteration of the thematic index [29,32]. We used illustrative non-attributable quotations.…”

Section: Discussionmentioning

confidence: 99%

Health, Psychosocial, and Economic Impacts of the Covid-19 Pandemic on People with Chronic Conditions in India: A Mixed Methods Study

et al. 2020

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“…We used a sequential mixed methods study design to guide our analytical approach [ 29 , 30 ]. Data are reported by study site and presented as a number (proportion) for categorical variables (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…The interview transcripts were coded thematically using MAXQDA software version 2020 [ 30 ]. Initial codes were developed and applied initially to a small number of transcripts, enabling further iteration of the thematic index [ 29 , 32 ]. We used illustrative non-attributable quotations.…”

Section: Methodsmentioning

confidence: 99%

Health, psychosocial, and economic impacts of the COVID-19 pandemic on people with chronic conditions in India: a mixed methods study

et al. 2021

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Background People with chronic conditions are disproportionately prone to be affected by the COVID-19 pandemic but there are limited data documenting this. We aimed to assess the health, psychosocial and economic impacts of the COVID-19 pandemic on people with chronic conditions in India. Methods Between July 29, to September 12, 2020, we telephonically surveyed adults (n = 2335) with chronic conditions across four sites in India. Data on participants’ demographic, socio-economic status, comorbidities, access to health care, treatment satisfaction, self-care behaviors, employment, and income were collected using pre-tested questionnaires. We performed multivariable logistic regression analysis to examine the factors associated with difficulty in accessing medicines and worsening of diabetes or hypertension symptoms. Further, a diverse sample of 40 participants completed qualitative interviews that focused on eliciting patient’s experiences during the COVID-19 lockdowns and data analyzed using thematic analysis. Results One thousand seven hundred thirty-four individuals completed the survey (response rate = 74%). The mean (SD) age of respondents was 57.8 years (11.3) and 50% were men. During the COVID-19 lockdowns in India, 83% of participants reported difficulty in accessing healthcare, 17% faced difficulties in accessing medicines, 59% reported loss of income, 38% lost jobs, and 28% reduced fruit and vegetable consumption. In the final-adjusted regression model, rural residence (OR, 95%CI: 4.01,2.90–5.53), having diabetes (2.42, 1.81–3.25) and hypertension (1.70,1.27–2.27), and loss of income (2.30,1.62–3.26) were significantly associated with difficulty in accessing medicines. Further, difficulties in accessing medicines (3.67,2.52–5.35), and job loss (1.90,1.25–2.89) were associated with worsening of diabetes or hypertension symptoms. Qualitative data suggest most participants experienced psychosocial distress due to loss of job or income and had difficulties in accessing in-patient services. Conclusion People with chronic conditions, particularly among poor, rural, and marginalized populations, have experienced difficulties in accessing healthcare and been severely affected both socially and financially by the COVID-19 pandemic.

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“…We aim for at least 12 participants to be included in focus groups. When assessing thematic saturation, the sample size will be reviewed [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

A cultural experience to support mental health in people aged 16–24 during the COVID-19 pandemic compared to a typical museum website: study protocol of an online randomised controlled trial

Sheriff

Vuorre

Riga

et al. 2021

Trials

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Background Despite the high prevalence of common mental disorders in adolescents and young adults, and their association with poor health and socio-economic outcomes throughout the lifespan, many young people do not seek or receive help for such disorders. There is growing interest in the community sector in supporting mental health in young people; however, there is little by way of experimental research in this area. During the COVID-19 pandemic and lockdown, we designed an online cultural experience to reduce anxiety and depression and support mental health in people aged 16–24. Methods/design The O-ACE POP (Online Active Community Engagement Proof of Principle) study is a UK-based online randomised controlled trial of an online cultural experience named Ways of Being, involving human centred narratives and viewpoints, compared with a typical museum website (the Ashmolean Museum). We aim to compare efficacy on affect, symptoms of epression and anxiety, flourishing and loneliness as well as investigating potential mechanisms of action. Discussion The COVID-19 pandemic has provided a unique opportunity to design an innovative approach to supporting mental health in young adults. Findings derived from this study will allow us to evaluate the efficacy of this intervention and will inform the design of studies to further refine the resource and test it further. Trial registration ClinicalTrials.gov NCT04663594. Registered on 11 December 2020 (submitted in same form 27 November 2020). Protocol v1.0: 27 November 2020. Date recruitment began: 4 December 2020. Recruitment complete (estimate): February 2021

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Applying a mixed methods design to test saturation for qualitative data in health outcomes research

Cited by 22 publications

References 32 publications

Health, Psychosocial, and Economic Impacts of the Covid-19 Pandemic on People with Chronic Conditions in India: A Mixed Methods Study

Health, Psychosocial, and Economic Impacts of the Covid-19 Pandemic on People with Chronic Conditions in India: A Mixed Methods Study

Health, psychosocial, and economic impacts of the COVID-19 pandemic on people with chronic conditions in India: a mixed methods study

A cultural experience to support mental health in people aged 16–24 during the COVID-19 pandemic compared to a typical museum website: study protocol of an online randomised controlled trial

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