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Despite growing numbers of qualitative research studies published in human resource development (HRD), there is a limited scope of qualitative methodologies applied. When it comes to qualitative data analysis, coding-based analysis is the go-to analytical method in HRD. This article introduces diffractive analysis, a concept for data analysis that encourages new ways to consider the entanglement between data, theories, researchers, and the researched. This paper introduces the philosophical foundation of diffractive analysis that challenges reflection as the prominent metaphor for inquiry in HRD research and practice. Examples from empirical studies are presented to illustrate how data and theory can be read diffractively into each other to produce different knowledge in HRD. The differences diffractive analysis can potentially make in HRD include engaging with research philosophically, analyzing data diffractively, developing a performative understanding of the field, and strengthening researcher-practitioner partnership.

Objective The objective of the study was to synthesize the epidemiological findings for the associations between dysmenorrhea, including primary dysmenorrhea and endometriosis-associated dysmenorrhea and any chronic pain conditions, including chronic pelvic pain, and chronic nonpelvic pain. Data Sources The data sources included PubMed, Embase, and CINAHL from inception to December 2019. Study Eligibility Criteria The study criteria included observational population-based studies in which the relationship between dysmenorrhea and the presence or severity of chronic pain was examined. Study Appraisal and Synthesis Methods Each study was double coded and evaluated for bias based on the modified Newcastle and Ottawa Scale. Random-effect meta-analyses were conducted to quantify the associations between dysmenorrhea and the presence of chronic pelvic and nonpelvic pain. Results Out of 9452 records, 32 studies were included, with 14 reporting associations between dysmenorrhea and chronic pelvic pain, and 20 for dysmenorrhea and chronic nonpelvic pain. Primary dysmenorrhea and endometriosis-associated dysmenorrhea were examined in 7 studies, respectively. More than 30% of the studies were categorized as poor quality, 56% as moderate, and 12.5% as high. Dysmenorrhea was positively associated with both the presence and severity of chronic pelvic and nonpelvic pain conditions. Based on 6689 women from 8 studies, those with chronic pelvic pain had 2.43 (95% confidence interval, 1.98–2.99, I2, 42%) times the odds of having dysmenorrhea compared with those without. Based on 3750 women from 11 studies, those with chronic nonpelvic pain had 2.62 (95% confidence interval, 1.84–3.72, I2, 72%) times the odds of having dysmenorrhea compared with those without. Overall, dysmenorrhea was associated with 2.50 (95% confidence interval, 2.02–3.10) times the odds of chronic pain, which did not differ by chronic pelvic vs chronic nonpelvic pain, community vs clinical populations, or different geographical regions. Conclusions Dysmenorrhea may be a general risk factor for chronic pain, although whether primary dysmenorrhea increases the risk for chronic pain is unclear. Given that adolescence is a sensitive period for neurodevelopment, elucidating the role of primary dysmenorrhea in pain chronicity in future longitudinal studies is important for preventing both chronic pelvic and nonpelvic pain.

Background This article reports an evaluation of the Immunization Training Challenge Hackathons (ITCH), invented by The Geneva Learning Foundation (TGLF) for national and sub-national immunization staff who strive to develop the knowledge and capacity of others to improve immunization program performance. ITCH, a fully-digital program focused on networked collaborative problem-solving between peers, provided an “opt-in” activity for learners in the Teach to Reach (T2R) Accelerator Program designed to improve training effectiveness in the immunization sphere. Methods Conducted by a team from the University of Georgia, this mixed method evaluation consisted of thematic analysis of recorded sessions and open-ended comments; and statistical analyses of application and follow-up survey data. The evaluation focused on what was learned and how ITCH participants implemented what they learned. Key stakeholder interviews provided supplemental data about program intent and results. ITCH consisted of 17 30-min sessions held in 2020, in English and French, with 581 participating at least once out of 1,454 enrolled in the overall program. Challenge owners and respondents came from 15 African and Asian countries and spanned different roles with differing scope. Results Over 85% [n = 154] of survey respondents [n = 181, a 31% response rate] indicated they were able to implement what they learned from the ITCH sessions. A majority [n = 139, 76.7%] reported finding the sessions useful. Issues with poor connectivity and the timing of the live meetings impeded some in their ability to participate, a problem compounded by consequences of the pandemic. The ITCH process constituted of learning or coming to consciousness simultaneously of four types of learning — participants realizing how much they could learn from each other (peer learning), experiencing the power of defying distance to solve problems together (remote learning), and feeling a growing sense of belonging to a community (social learning), emergent across country borders and health system levels (networked learning). Conclusions Based on evaluation findings, it was concluded that ITCH demonstrated an effective scalable, informal, non-didactic, experience-led, fast-paced, peer learning design. A focus on community engagement and developing brokering skills was recommended.

Purpose This paper aims to study the effects of perceived organizational support (POS) on employees’ knowledge sharing intention (KSI). More specifically, this study examined whether these effects are moderated by job characteristics (JCs) and are mediated by organizational citizenship behavior (OCB). Design/methodology/approach Data for 426 employees were collected via an online questionnaire from four IT companies in South Korea. Combined effects in the variable set were analyzed using conditional process analyses (Hayes, 2013). Findings The results indicate that POS positively affects OCB and KSI, and that JCs moderate the relationship between POS and OCB. Also, the relationship between POS and KSI is mediated by OCB, and the hypothesized moderated mediation model is confirmed. Originality/value This study is novel in empirically establishing how employees’ KSI is affected by POS as an integrative construct bringing together JCs and OCB. This paper intends to fill a methodological gap and nurture future research by adopting conditional process analyses assessing whether JCs moderate the relationship between POS and OCB and mediate the effects of OCB on KSI.

The red-light running rate by type of road users has not been reported in China so far. We conducted an observation study to report the violation rate in Changsha, China. Portable digital devices were used to record red-light running violations at five selected intersections. The observation was performed for three days (weekday, weekend and holiday), four time periods per day and an hour per time period (peak and off-peak hours in the morning and in the afternoon). Violation rate was calculated as number of violations divided by total number of vehicles/pedestrians × 100%. We used adjusted violation rate ratio (VRR) to quantify the effects of type of day and time period based on Poisson model. Totally, 162,124 vehicles (including motor vehicles, motorcycles and bicycles) and 31,649 pedestrians were recorded. The red-light running rate was 0.14% for motor vehicle drivers, far lowering than those for motorcyclists (18.64%), bicyclists (18.74%) and pedestrians (18.54%). The rate on holiday was 1.89 times that on weekday for drivers. The rate for motorcyclists was high in off-peak hours (adjusted VRR: 1.11), but low on weekend and on holiday (adjusted VRRs: 0.80 and 0.65). The rate for bicyclists was 32% lower on weekend than on weekday. For pedestrians, the rates were high on weekend and holiday and in off-peak hours (adjusted VRR: 1.09, 1.67 and 1.30). The red-light running rate of motor vehicle drivers is far lower than those for motorcyclists, bicyclists and pedestrians. The effects of type of day and time period on violation rate vary with road users, indicating the type of day and time period should be considered when developing and implementing interventions to reduce red-light running of different road users.

Resveratrol is a phytoalexin synthesized by a wide variety of plants, which has been proven to be effective in suppressing oxidative stress and inflammation. The aim of the present study was to investigate the effect of Resveratrol's prodrug: 3,5,4'-tri-O-acetylresveratrol, on seawater drowning-induced acute lung injury (SWD-ALI). Histological changes were assessed to study lung injuries; cytokines in lung samples were monitored by ELISA to reflect inflammation; T-SOD and MDA activity were detected to examine oxidative stress in lung tissues. Besides, we also tested the expression of NF-κB and HIF-1α to probe the possible protecting mechanism of 3,5,4'-tri-O-acetylresveratrol on AWD-ALI. The results showed that pretreatment with different doses of 3,5,4'-tri-O-acetylresveratrol improved seawater-induced lung histopathologic changes, alleviated lung edema, reduced the production of inflammatory mediators including TNF-α and IL-1β, inhibited MDA activity, and enhanced T-SOD activity, which was possibly associated with inhibition of NF-κB and HIF-1α. In conclusion, the current study demonstrated that 3,5,4'-tri-O-acetylresveratrol exhibited a protective effect on SWD-ALI by inhibiting of the inflammatory response, which may also involve the suppression of oxidative stress in lung tissues.