Economic effects of priority setting in healthcare: a scoping review of current evidence.

Objectives: Study objective was to map the current literature on the economic effects of priority setting at the system level in healthcare.

Design: The study was conducted as a scoping review.

Data Sources: Scopus electronic database was searched in June 2023.

Seeking connectivity to everyday health and wellness experiences: Specificities and consequences of connective gaps in self-tracking data.

Objective: Self-tracking technologies have created high hopes, even hype, for aiding people to govern their own health risks and promote optimal wellness. High expectations do not, however, necessarily materialize due to connective gaps between personal experiences and self-tracking data. This study examines situations when self-trackers face difficulties in engaging with, and reflecting on, their data with the aim of identifying the specificities and consequences of such connective gaps in self-tracking contexts.

Living the metrics: Self-tracking and situated objectivity.

This paper evaluates self-tracking practices in connection with ideas of objectivity via exploration of confrontations with personal data, particularly with reference to physiological stress and recovery measurements. The discussion departs from the notion of 'mechanical objectivity', seeking to obtain evidence that is 'uncontaminated by interpretation'. The framework of mechanical objectivity tends, however, to fall short when people translate physiological measurements to fit their expectations and everyday experiences.

Social rhythms of the heart.

A long-term research focus on the temporality of everyday life has become revitalised with new tracking technologies that allow methodological experimentation and innovation. This article approaches rhythms of daily lives with heart-rate variability measurements that use algorithms to discover physiological stress and recovery. In the spirit of the 'social life of methods' approach, we aggregated individual data ( = 35) in order to uncover temporal rhythms of daily lives.