Patient and public involvement/engagement (PPI/E) in public health research and health technology assessment (HTA) in high-income countries (HICs) have significantly increased over the past decade. PPI/E helps to improve research and HTA, ultimately benefitting patients and service users. PPI/E is a very new concept in many low- and middle-income countries (LMICs). This paper considers the importance of PPI in public health research and HTA in the development and implementation of technology in the health sector in South Asia. Currently, in this region, health technology is frequently adopted from HICs without local research and HTA. It also discusses the importance of local co-creation of technology to reflect the needs of users within a culturally appropriate setting. It is important for LMIC-based researchers to understand the potential of PPI/E and how it can contribute to it to improve health care and research, especially perhaps in the era of COVID-19.

The objective of the present study was to utilise an accurate canine pedometer methodology and to assess the relationship between activity and body condition score (BCS) in dogs. Initial methodology validation used videography and pedometer step measurements to assess actual steps taken in comparison with pedometer readings for twenty large, medium and small dogs. During the validation, dogs considered to be medium or large breed showed no significant difference between pedometer readings and actual steps taken. A total of seventy-seven obese and non-obese dogs over 35 cm (14 inches) shoulder height and over 10 kg were recruited from a dog obesity clinic and a community sample to assess daily walking activity. Body condition scoring and pedometer steps were assessed on three separate weeks during a 10-week period. During the activity monitoring, daily step counts ranged from 5555 to 39 970 steps/d among the seventy-seven medium and large dogs. Dogs’ BCS were inversely correlated with average daily steps (Spearman's ρ = − 0·442, P < 0·0001). The present study identified a significant inverse correlation between daily walking steps and BCS over a range from 4 to 9 out of 9 (P < 0·0001).

Contemporaries and economic historians have noted several features of medieval and early modern European monetary systems that are hard to analyze using models of centralized exchange. For example, contemporaries complained of recurrent shortages of small change and argued that an abundance/dearth of money had real effects on exchange, especially for the poor. To confront these facts, we build a random-matching monetary model with two indivisible coins with different intrinsic values. The model shows that small change shortages can exist, in the sense that adding small coins to an economy with only large coins is welfare-improving. This effect is amplified by increases in trading opportunities. Further, changes in the quantity of monetary metals affect the real economy and the amount of exchange as well as the optimal denomination size. Finally, the model shows that replacing full-bodied small coins with tokens is not necessarily welfare-improving.