Community health systems (CHSs) have historically been approached from multiple perspectives, with different purposes and methodological and disciplinary orientations. The terrain is, on the one hand, vast and diverse. On the other hand, under the banner of universal health coverage (UHC) and the Sustainable Development Goals (SDGs), a streamlined version of 'community health' is increasingly being consolidated in global health and donor communities. With the view to informing debate and practice, this paper seeks to synthesise approaches to the CHS into a set of 'lenses,' drawing on the collective and multi-disciplinary knowledge (both formal and experiential) of the authors, a collaborative network of 23 researchers from seven institutions across six countries (spanning low, middle and high income). With a common view of the CHS as a complex adaptive system, we propose four key lenses, referred to as and . The lenses represent different positionalities in community health, encompassing macro-level policy-maker, front-line and community vantage points, and purposes ranging from social justice to instrumental goals. We define and describe the main elements of each lens and their implications for thinking about policy, practice and research. Distilling a set of key lenses offers a way to make sense of a complex terrain, but also counters what may emerge as a dominant, single narrative on the CHS in global health. By making explicit and bringing together different lenses on the CHS, the limits and possibilities of each may be better appreciated, while promoting integrative, systems thinking in policy, practice and research.
In many clinical contexts, the event of interest could occur multiple times for the same patient. Considerable advancement has been made on developing recurrent event models based on or that use biomarker information. However, less attention has been given to evaluating the prognostic accuracy of a biomarker or a composite score obtained from a fitted recurrent event-rate model.
Many trials are designed to collect outcomes at or around pre-specified times after randomization. If there is variability in the times when participants are actually assessed, this can pose a challenge to learning the effect of treatment, since not all participants have outcome assessments at the times of interest. Furthermore, observed outcome values may not be representative of all participants' outcomes at a given time.
Infant undernutrition, defined by length- and weight-based indices, is common in low- and middle-income countries (LMICs), but corresponding deficits in head size have received less attention. In a cohort of term newborns in Dhaka, Bangladesh, we compared the severity of deficits (vs. World Health Organization Growth Standards) in head circumference (HC), length and weight at birth and every 3 months until 2 years of age (n range across timepoints: 843-920).
Clinical trials are the most rigorous scientific and regulated method to investigate the safety and efficacy of vaccines or drugs in pre-licensure stage. Clinical trial design and implementation are complex, time-consuming and involves close engagement with country's regulatory authority, clinical trial sites, investigators, and the healthcare system. Over the past few decades, a significant number of clinical trials have been conducted in low- and middle-income countries (LMICs), particularly in resource-limited settings.
