The research team, led by Yayun Song and Pu Lin of Hubei Polytechnic University together with Jia Qu of Tongji Hospital at Huazhong University of Science and Technology, designed a descriptive qualitative study with a deceptively simple instrument. In June 2025, students from three cohorts at a single university in central China were given a fill-in-the-blank prompt: “A community nurse is like ______ because ______.” Each response consisted of two parts — an image and a justification — and the pair together formed the unit of analysis. This structure matters methodologically, because the metaphor alone can be ambiguous; it is the stated reason that anchors the interpretation and allows researchers to code responses reliably rather than reading meanings into them.

The analytical machinery behind the study combined two complementary approaches. The researchers used inductive qualitative content analysis, meaning that categories emerged from the data itself rather than being imposed from a pre-existing framework. At the same time, they adopted conceptual metaphor theory as a sensitizing lens — the idea, originating in cognitive linguistics, that metaphors are not decorative flourishes but cognitive tools through which people understand abstract or unfamiliar domains in terms of concrete, embodied experience. A community nurse is an abstract professional role; a mother, a shield or a breath of air are immediately graspable. The gap between the two is precisely where the students’ mental models live.

To guard against the subjectivity that plagues qualitative coding, the team built in two verification steps. First, intercoder agreement was formally assessed on 65 responses that were independently categorized, providing a quantitative check on whether different coders assigned the same responses to the same categories. Second, in a member-checking procedure, 22 participants reviewed the category their own response had been assigned to along with the category’s description, confirming or challenging the researchers’ interpretation. The study was approved by the Institutional Review Board of Hubei Polytechnic University in May 2025 and conducted in accordance with the Declaration of Helsinki, with written informed consent obtained from all participants before data collection.

Out of this process emerged six descriptive categories, and their relative sizes tell a story about what dominates students’ imaginations. The largest group, accounting for 31.0 percent of responses, was Nurturer/Caregiver — the metaphorical territory of mothers, warmth and sustenance. Students in this category framed community nursing as relational, emotionally close care, the kind of work that feeds and sustains people rather than merely treating them. The second-largest category, at 23.6 percent, was Guardian/Defender, capturing images of protection: the nurse as a shield standing between residents and illness, harm or vulnerability. Together, these two categories account for more than half of all responses, suggesting that students conceive of community nursing first and foremost through intimacy and protection rather than through technical procedure.

The remaining categories sketch a more organizationally sophisticated picture. Connector/Coordinator, at 16.2 percent, captured the nurse as a bridge or link — someone who joins residents to resources, services and the wider health system. Guide/Educator, at 13.4 percent, emphasized teaching, health promotion and lighting the way for people to manage their own health. Versatile/Multi-role Professional, at 10.2 percent, reflected an awareness that community nursing demands adaptability, with students describing the nurse as a multi-tool or an all-rounder who must shift between roles as circumstances demand. The final 5.6 percent fell into Other Role Representations, a residual category covering responses focused on specific tasks, working style or perceived professional value rather than a coherent relational image.

What makes these findings more than a curiosity is what the metaphors reveal about the reasoning behind them. The authors note that students represented community nursing through three interlocking dimensions: relationships with residents, the organization of care, and the sheer variety of responsibilities the role entails. A student who writes “a community nurse is like a mother because she cares for residents with warmth and patience” is not just being sentimental — she is encoding a theory of care that privileges continuity, emotional labor and long-term relationship over episodic intervention. A student who chooses “air” — something omnipresent, essential and often unnoticed — is making a subtler claim about how community nursing functions as invisible infrastructure for population health.

There is also a diagnostic dimension to the technique. Metaphor elicitation, as the authors point out, can help educators explore students’ understanding of community nursing and open discussions about the reasoning and responsibilities involved in practice. If a cohort overwhelmingly produces nurturer images while underrepresenting coordination or education, that imbalance is a signal — perhaps of curricular gaps, perhaps of limited clinical exposure to the full breadth of community roles. Conversely, the prominence of Connector/Coordinator and Versatile/Multi-role Professional categories in this sample suggests that at least some students already grasp that community nursing is less about bedside tasks and more about orchestrating care across households, clinics and social services. For educators designing placements and role-modeling opportunities, the metaphor inventory functions as a low-cost, high-yield window into professional identity formation before it hardens.

The study’s setting adds context to its interpretation. Community nursing in China sits within a health system under pressure from an aging population, chronic disease burden and policy pushes toward tiered, community-first care — making the pipeline of students who choose community roles a matter of national health strategy. How students conceptualize the role influences whether they see it as a career destination or a professional backwater. The metaphors collected here — overwhelmingly positive, relational and protective — suggest an idealized but genuinely engaged view, one that educators could either nurture or, if left unexamined, allow to collide with the bureaucratic and logistical realities of practice. The authors are careful not to overclaim: this was a single university, three cohorts, and a one-prompt instrument, and the findings are descriptive rather than predictive.

Methodologically, the paper is a compact demonstration of how a qualitative prompt can be made rigorous. The SRQR standards for reporting qualitative research frame the write-up; the inductive coding with a sensitizing theory, the quantified intercoder agreement, and the member checking with participants collectively address the classic objections to metaphor research — that categories are arbitrary and interpretations are projections. The funding acknowledgments, spanning Hubei provincial teaching reform projects and a national medical education research program, signal institutional interest in the pedagogical payoff of this line of work. For a field where professional identity is known to shape retention, job satisfaction and quality of care, a two-blank sentence may turn out to be one of the cheapest diagnostic instruments available. The next step, implicitly, is longitudinal: tracking whether the students who wrote “shield” and “air” as undergraduates become the community nurses who embody those images — or discover that the reality demands a metaphor no one thought to write down.

Subject of Research: Metaphorical perceptions of the community nursing role among undergraduate nursing students

Article Title: ‘Mother, shield, or air’: undergraduate nursing students’ metaphorical constructions of the community nursing role

Article References: Song, Y., Lin, P., & Qu, J. (2026). ‘Mother, shield, or air’: undergraduate nursing students’ metaphorical constructions of the community nursing role. BMC Nursing. https://doi.org/10.1186/s12912-026-05494-y

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05494-y

Keywords: community nursing, nursing education, nursing students, metaphor elicitation, professional role perception, qualitative content analysis, conceptual metaphor theory, nursing research, China, professional identity, Mother, shield

The research team, led by Citra Windani Mambang Sari of the Doctoral Program in Medical Science and the Department of Community Health Nursing at Universitas Padjadjaran, used a sequential model-development design. Rather than testing a finished intervention, the study focused on the crucial early stages of building one: synthesising existing concepts, drafting the model and its supporting modules, submitting them to multidisciplinary expert scrutiny, refining the materials and finally checking whether the intended users could actually read and use them. This staged approach reflects a growing recognition in implementation science that interventions fail in the field far more often because of weak design and validation than because of poor ideas.

The intellectual architecture of the model draws on several complementary frameworks. The researchers integrated the Functional Consequences framework, which foregrounds how diabetes and its treatments interact with age-related changes in function; King’s Goal Attainment Theory, which frames care as a negotiated process in which nurse and patient jointly set and pursue goals; and Meiqari and colleagues’ continuity-of-care framework, which maps the informational, management and relational dimensions of seamless care. These theoretical anchors were combined with unpublished formative project findings, focus group discussions with community nurses, and systematic review evidence on continuity-of-care strategies for older adults with diabetes across Asia. The result is a model grounded simultaneously in theory, local practice experience and the best available regional evidence.

What emerged from this synthesis is a comprehensive care package in which the community nurse acts as the coordinating hub. Under the model, the nurse orchestrates physician-led structured diabetes education, shared goal setting with the patient, interprofessional home visits carried out by community nurses working alongside nutritionists and pharmacists, telephone follow-up with patients, multidisciplinary case conferences, family follow-up, and dedicated education sessions for patients and their families. Each element targets a known weak point in fragmented primary care: education that ends at the clinic door, home environments that health professionals never see, families left without guidance, and specialists and generalists who never compare notes.

Validation was handled with quantitative precision. Twelve purposively selected multidisciplinary experts — spanning community and primary care nursing, programme leadership, academia, medicine, pharmacy and geriatric diabetes care, each meeting predefined eligibility criteria — rated the model book and two accompanying modules on a four-point scale. The researchers quantified agreement using the item-level content validity index, calculated as the proportion of experts rating an item 3 or 4, and the scale-level content validity index average, with an acceptability threshold set in advance at 0.90 or above. The results were striking: because no expert rated any item below 3, every item-level index reached 1.00, and the scale-level average was 1.00 for all three instruments. Mean item scores stood at 3.86 for the model book, 3.82 for the older-adult and family module, and 3.90 for the health-worker module.

A perfect validity score is rare in instrument development, and its significance deserves careful reading. It indicates unanimous expert endorsement that the model’s content is relevant, clear and appropriate for its purpose — not that the model has been proven to work. The authors are explicit on this point, noting that the findings support progression to pilot and feasibility testing but do not establish implementation feasibility or clinical effectiveness. That distinction matters for readers weighing the study’s implications: content validation is a gate through which promising interventions must pass, but it is the first gate, not the last.

The team also tested whether the materials would be usable by the people expected to rely on them. Twenty-two intended users — twelve health workers and ten older adults with diabetes — completed structured readability and practicality appraisals, with items scored as a percentage of the maximum possible. The health-worker module scored 90.52 percent and the older-adult and family module scored 97.13 percent; both fell within the appraisal instrument’s defined category of very practical, which requires scores above 81.25 percent. For a module designed to be read and acted upon by older patients and their families, a practicality score approaching 97 percent is a notable signal that the materials communicate in language and formats that real users can navigate.

Expert scrutiny was not merely confirmatory; it shaped the model. Feedback from the panel informed refinements across a wide range of content areas, including the scope of primary care activities, the implementation flow of the model, the delineation of interprofessional roles, the involvement of family members, telehealth monitoring, emergency action guidance, nutrition, medication management, foot care and stress-management content. This iterative refinement loop — draft, rate, revise — is precisely what content validation is designed to achieve, converting the collective judgement of a multidisciplinary panel into concrete improvements before any patient encounters the intervention in routine care.

The study’s context gives it broader resonance. Indonesia’s population is ageing rapidly, and community health centres are the frontline for chronic disease management for millions of older people. Diabetes care in later life demands coordination across time and across professions, yet the components that deliver it — education, follow-up, home visiting, referral, family engagement and interprofessional communication — often operate in silos. A model that positions the community nurse as the connective tissue, supported by explicit modules for both health workers and families, offers a structurally plausible answer to a systems problem rather than a purely clinical one. The two-day training curriculum and twelve-week intervention pathway documented in the study’s supplementary materials suggest the team has already thought through how the model would be operationalised on the ground.

The researchers are careful to frame what comes next. The readability and practicality scores represent preliminary user appraisal among a sampled group of intended users and do not establish practicality in routine care. Future studies, the authors write, should assess caregiver usability, feasibility, fidelity, acceptability, workforce and resource requirements, and the model’s effects on self-management, glycaemic outcomes as measured by markers such as HbA1c, and functional well-being. Ethics approval for the work was granted by the Health Research Ethics Committee of Universitas Padjadjaran, and the publication was supported by Universitas Padjadjaran through the Indonesian Endowment Fund for Education under the EQUITY Program, with the funder playing no role in study design or reporting. If subsequent pilot and feasibility studies bear out the promise suggested by the unanimous expert endorsement and near-perfect practicality scores, Indonesia may gain a replicable template for nurse-led chronic care coordination — one built not on imported assumptions but on the realities of its own primary care system and the lived circumstances of its older patients and their families.

Subject of Research: Nurse-led continuity of care model development and content validation for older adults with type 2 diabetes in Indonesian primary care

Article Title: Development and content validation of a nurse-led continuity of care model for older adults with type 2 diabetes in Indonesian primary care

Article References: Sari, C. W. M., Haroen, H., Juniarti, N., Amalia, L., & Pardosi, J. F. (2026). Development and content validation of a nurse-led continuity of care model for older adults with type 2 diabetes in Indonesian primary care. BMC Nursing. https://doi.org/10.1186/s12912-026-05432-y

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05432-y

Keywords: continuity of care, community nursing, older adults, type 2 diabetes, primary care, model development, content validity, self-management, Indonesia, interprofessional care, family engagement, nurse-led care

The research team, led by investigators affiliated with Shenzhen Nanshan People’s Hospital, surveyed 395 full-time community nurses working across 87 public community health service centres connected to a large tertiary hospital in southern China. Data were collected between August and September 2025 through an anonymous online platform, with safeguards including a minimum completion time, one-response-per-account restrictions and screening for contradictory or straight-lined answers. The effective response rate reached 94.1 percent, and the sample exceeded the recommended minimum of 300 participants for the latent profile analysis the researchers employed.

Latent profile analysis, or LPA, is a statistical method that sorts individuals into hidden subgroups based on their response patterns across several measured variables, rather than forcing everyone onto a single continuum. In this study, the indicator variables were the three dimensions of the Nurse Innovative Behaviour Scale: idea generation, support seeking and idea realization. The researchers fitted models with one through four profiles and evaluated fit using the Akaike Information Criterion, the Bayesian Information Criterion, entropy values and likelihood ratio tests. Although information criteria kept dropping as profiles were added, the Lo–Mendell–Rubin test was non-significant for the three- and four-profile models, so the two-profile solution was retained, backed by a high entropy of 0.934 and average posterior probabilities between 0.980 and 0.987.

The resulting picture was strikingly balanced. Profile 1, labelled the Moderate Innovation Profile, contained 199 nurses, or 50.4 percent of the sample, and showed a consistent but modest level of activity across all three innovation dimensions. Profile 2, the High Innovation Profile, contained 196 nurses, or 49.6 percent, and displayed a proactive, high-level pattern on every dimension. Notably, the two groups differed mainly in overall level rather than in shape, suggesting that innovation in this workforce behaves like a cumulative capacity built from resources and experience, rather than a specialized trait possessed by only a few.

Why do some nurses land in the high-innovation group while others with similar demographics do not? To answer this, the team grounded its analysis in the model of individual innovative behaviour developed by Scott and Bruce in 1994, which frames innovation as the product of individual characteristics interacting with the surrounding work environment. The study measured professional identity with a 30-item scale, telehealth readiness with the Chinese version of the Telehealth Readiness Assessment Tools, and perceived organizational support with a 13-item nursing-adapted scale. All instruments showed excellent internal consistency in this sample, with Cronbach’s alpha values ranging from 0.937 to 0.986.

Univariate comparisons flagged several variables that separated the two profiles, including age, education, professional title, years of experience, prior hospital work, research participation, innovation training and managerial knowledge sharing. A multinomial logistic regression then distilled which of these independently predicted membership in the High Innovation Profile. The strongest categorical predictors were access to departmental innovation training, with an odds ratio of 6.203, and prior experience working in a general hospital, with an odds ratio of 5.144. In practical terms, nurses who had received structured innovation training were more than six times as likely to belong to the high-innovation group, and those with hospital backgrounds more than five times as likely, compared with their peers.

Participation in research projects also carried substantial weight, with an odds ratio of 4.173, while managerial knowledge sharing more than doubled the odds at 2.568. Among the continuous psychological measures, professional identity and telehealth readiness were both statistically significant, with odds ratios of 1.025 and 1.077 respectively, though the authors note that these single-unit effects are modest compared with the powerful categorical catalysts of training and experience. Intriguingly, general perceived organizational support was not a significant predictor at all. The study’s interpretation is that broad, diffuse support fails to translate into proactive behaviour, whereas specific, tangible empowering actions, such as a manager who actively shares research knowledge, do.

The authors are candid about the limitations of their design. The cross-sectional structure prevents any causal claims, and convenience sampling from a single metropolitan hospital network may have attracted unusually motivated respondents, potentially inflating the share of high innovators while limiting generalizability to rural or resource-constrained settings. All measures were self-reported, leaving room for social desirability bias, and the innovation scale captures behavioural frequency rather than the objective clinical quality of the innovations produced. The analysis also relied on aggregated dimension scores rather than item-level data, and the two-profile solution has not yet been validated in an independent cohort, so its structural stability remains unverified.

Even with those caveats, the practical implications are concrete. The researchers recommend abandoning one-size-fits-all incentive schemes in favour of a stratified talent development pipeline. For nurses in the Moderate Innovation Profile, who make up roughly half of the workforce and serve as its stabilization baseline, the strategy should be foundational empowerment: quality improvement training, structured continuing education, small-scale funding for incremental micro-innovations such as refined scheduling procedures or localized health-education toolkits, and mentorship pairings with experienced innovators. For the High Innovation Profile, the strategy should be catalytic: granting clinical autonomy, flexible hours and formal roles as innovation champions, quality improvement coaches and peer mentors who lead the knowledge-sharing activities shown to be so influential.

The study also carries a policy dimension that extends well beyond any single hospital network. As populations age and chronic disease burdens shift care out of hospitals and into communities, the demand for adaptive, digitally capable nursing workforces will only intensify, a priority echoed in China’s National Nursing Development Plan for 2021 through 2025. The authors argue that healthcare authorities should institutionalize telehealth competency training and build centralized knowledge-sharing platforms across primary health networks, since digital readiness emerged as a meaningful channel through which community nurses can transcend local resource limits. Future longitudinal research, the team concludes, should track how stable these profiles are over time and link them to objective clinical outcomes, so that the promise of precision empowerment in nursing management can be tested against real-world results rather than self-report alone.

Subject of Research: Latent profiles of innovative behaviour and their predictors among community nurses in China

Article Title: Profiles of Innovative Behaviour Among Community Nurses and Associated Factors: A Cross‐Sectional Study

Article References: Profiles of Innovative Behaviour Among Community Nurses and Associated Factors: A Cross‐Sectional Study. (n.d.). https://doi.org/10.1002/nop2.70819

Image Credits: AI Generated

DOI: 10.1002/nop2.70819

Keywords: community nursing, innovative behaviour, latent profile analysis, telehealth readiness, professional identity, perceived organizational support, nursing management, primary healthcare, cross-sectional study, knowledge sharing, workforce development, China