The methods literature regarding sampling in qualitative research is characterized by important inconsistencies and ambiguities, which can be problematic for students and researchers seeking a clear and coherent understanding. In this article we present insights about sampling in qualitative research derived from a systematic methods overview we conducted of the literature from three research traditions: grounded theory, phenomenology, and case study. We identified and selected influential methods literature from each tradition using a purposeful and transparent procedure, abstracted textual data using structured abstraction forms, and used a multistep approach for deriving conclusions from the data. We organize the findings from this review into eight topic sections corresponding to the major domains of sampling identified in the review process: definitions of sampling, usage of the term sampling strategy, purposeful sampling, theoretical sampling, sampling units, saturation, sample size, and the timing of sampling decisions. Within each section we summarize how the topic is characterized in the corresponding literature, present our comparative analysis of important differences among research traditions, and offer analytic comments on the findings for that topic. We identify several specific issues with the available guidance on certain topics, representing opportunities for future methods authors to improve our collective understanding.

kaasalainen s, dolovich l, papaioannou a, holbrook a, lau e, ploeg j, levine m, cosby j & emily a (2011) Journal of Nursing and Healthcare of Chronic Illness 3, 407–418 
The process of medication management for older adults with dementia Aim.  The purpose of this study was to explore the personal experiences related to medication management of community‐dwelling older adults diagnosed with dementia, their informal caregivers, as well as healthcare professionals who assist them. Background.  Older adults who have dementia face many challenges in managing their medications while living in the community. Medication regimens used to treat a variety of conditions in older adults with dementia are usually overseen and coordinated by healthcare professionals such as community nurses, physicians and pharmacists, but often, more supports are needed. However, little research has been conducted to study the barriers and facilitators to medication adherence in this unique population. Methods.  Using a grounded theory approach, 57 interviews were completed (10 nurses, 10 pharmacists, 6 physicians, 20 caregivers and 11 patients) in southern Ontario, Canada, in 2007. Findings.  The findings indicate that the processes of medication management differ according to the level of dementia. A number of corresponding facilitators and barriers to medication management were identified. Medication management in early stage dementia is characterised by patients’ desire to maintain independence, denial of issues or disease, and a refusal to take medications owing to feeling angry. In late‐stage dementia, older adults often refuse medications owing to delusional or suspicious thinking, which results in caregivers assuming responsibility for managing their medications. Conclusions.  Older adults with dementia, their informal caregivers and the healthcare professionals who assist them are faced with the challenges of declining cognitive function and memory while trying to manage medications at home. However, a number of adherence strategies appear to be helpful and should be considered. Relevance to clinical practice.  Healthcare professionals struggle with helping older adults who have dementia manage medications safely and therapeutically, often with little resources to draw from. Future work is needed to design, implement and evaluate supportive networks and interventions with the goal of helping older adults with dementia manage their medications better while living in the community.

Providing palliative care for residents with dementia in long-term care (LTC) settings is problematic due to their declining verbal abilities and related challenges. The goal of this study was to explore nurses’ perceptions around providing palliative care for such residents. Using a qualitative descriptive design, data were gathered from focus groups at three LTC facilities. Participants represented all levels of nursing staff. Concepts that emerged from the data were labelled, categorized, and coded in an iterative manner. Nurses appraise residents’ general deterioration as a main factor in deciding that a resident is palliative. Nurses often employ creative strategies using limited resources to facilitate care, but are challenged by environmental restrictions and insufficient educational preparation. However, nurses said they do not wish for residents to be transferred to a hospice setting, as they wish to grieve with residents and their family members. Nurses aim to facilitate a “good death” for residents with dementia, while trying to manage multiple demands and deal with environmental issues. Supportive and educational initiatives are needed for nursing staff and families of dying residents.

Background: In 2013, the Canadian Institutes of Health Research funded 12 community-based primary health care research teams to develop evidence-based innovations. We aimed to explore the scalability of these innovations. Methods: In this cross-sectional study, we invited the 12 teams to rate their evidence-based innovations for scalability. Based on a systematic review, we developed a self-administered questionnaire with 16 scalability assessment criteria grouped into 5 dimensions (theory, impact, coverage, setting and cost). Teams completed a questionnaire for each of their innovations. We analyzed the data using simple frequency counts and hierarchical cluster analysis. We calculated the mean number and standard deviation (SD) of innovations that met criteria within each dimension that included more than 1 criterion. The analysis unit was the innovation. Results: The 11 responding teams evaluated 33 evidence-based innovations (median 3, range 1-8 per team). The innovations focused on access to care and chronic disease prevention and management, and varied from health interventions to methodological innovations. Most of the innovations were health interventions (n = 21), followed by analytical methods (n = 4), conceptual frameworks (n = 4), measures (n = 3) and strategies to build research capacity (n = 1). Most (29) met criteria in the theory dimension, followed by impact (mean 22.3 [SD 5.6] innovations per dimension), setting (mean 21.7 [SD 8.5]), cost (mean 17.5 [SD 2.1]) and coverage (mean 14.0 [SD 4.1]). On average, the innovations met 10 of the 16 criteria. Adoption was the least assessed criterion (n = 9). Most (20) of the innovations were highly ranked for scalability. Interpretation: Scalability varied among innovations, which suggests that readiness for scale up was suboptimal for some innovations. Coverage remained largely unaddressed; further investigation of this critical dimension is necessary.

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Objective To evaluate the effectiveness of a nurse-led hospital-to-home transitional care intervention versus usual care on mental functioning (primary outcome), physical functioning, depressive symptoms, anxiety, perceived social support, patient experience, and health service use costs in older adults with multimorbidity (≥ 2 comorbidities) and depressive symptoms. Design and setting Pragmatic multi-site randomized controlled trial conducted in three communities in Ontario, Canada. Participants were allocated into two groups of intervention and usual care (control). Participants 127 older adults (≥ 65 years) discharged from hospital to the community with multimorbidity and depressive symptoms. Intervention This evidence-based, patient-centred intervention consisted of individually tailored care delivery by a Registered Nurse comprising in-home visits, telephone follow-up and system navigation support over 6-months. Outcome measures The primary outcome was the change in mental functioning, from baseline to 6-months. Secondary outcomes were the change in physical functioning, depressive symptoms, anxiety, perceived social support, patient experience, and health service use cost, from baseline to 6-months. Intention-to-treat analysis was performed using ANCOVA modeling. Results Of 127 enrolled participants (63-intervention, 64-control), 85% had six or more chronic conditions. 28 participants were lost to follow-up, leaving 99 (47 -intervention, 52-control) participants for the complete case analysis. No significant group differences were seen for the baseline to six-month change in mental functioning or other secondary outcomes. Older adults in the intervention group reported receiving more information about health and social services (p = 0.03) compared with the usual care group. Conclusions Although no significant group differences were seen for the primary or secondary outcomes, the intervention resulted in improvements in one aspect of patient experience (information about health and social services). The study sample fell below the target sample (enrolled 127, targeted 216), which can account for the non-significant findings. Further research on the impact of the intervention and factors that contribute to the results is recommended. Trial registration clinicaltrials.gov Identifier: NCT03157999.

BackgroundPatient engagement in research priority-setting is intended to democratize research and increase impact. The objectives of the Canadian Frailty Priority Setting Partnership (PSP) were to engage people with lived or clinical experience of frailty, and produce a list of research priorities related to care, support, and treatment of older adults living with frailty.MethodsThe Canadian Frailty PSP was supported by the Canadian Frailty Network, coordinated by researchers in Toronto, On-tario and followed the methods of the James Lind Alliance, which included establishing a Steering Group, inviting partner organizations, gathering questions related to care, support and treatment of older adults living with frailty, processing the data and prioritizing the questions.ResultsIn the initial survey, 799 submissions were provided by 389 individuals and groups. The 647 questions that were within scope were categorized, merged, and summarized, then checked against research evidence, creating a list of 41 unanswered questions. Prioritization took place in two stages: first, 146 individuals and groups participated in survey and their responses short-listed 22 questions; and second, an in-person workshop was held on September 26, 2017 in Toronto, Ontario where these 22 questions were discussed and ranked.ConclusionResearchers and research funders can use these results to inform their agendas for research on frailty. Strategies are needed for involving those with lived experience of frailty in research.

Background This study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada. Methods We linked multiple cycles (2005–2006, 2007–2008, 2009–2010, 2011–2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship. Results Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions. Conclusions Strong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service use in those with multimorbidity. The study’s results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.