MATERIALS AND METHODS: Fourteen HS and 14 TLE patients with age and gender matched underwent resting state functional magnetic resonance imaging (rsfMRI) scanning using a 3-Tesla MRI machine to investigate the EC and percentage of amplitude fluctuation (PerAF) involving SMG and PRE. The rsfMRI data were analysed using Statistical Parametric Mapping (SPM12) and Spectral Dynamic Causal Modelling (spDCM) from which causal models were specified, estimated and inferred.
RESULTS: Model with bidirectional connections between PRE and SMG was chosen as the winning model. The EC from PRE to SMG is positive but the EC from SMG to PRE is negative in both hemispheres and in HS and TLE. Based on the findings from the EC analysis, there is an excitatory effect shown by PRE to SMG connection indicating a dominant role of PRE over SMG in both groups.
CONCLUSION: There is important evidence showing that PRE might also have influence on areas outside resting state network and the influence changes in the presence of brain abnormality.
OBJECTIVE: This study investigates the WTP for NHI and factors influencing it in Melaka, Malaysia.
METHOD: Using the contingent valuation method, the researchers distributed a pre-tested self-administered questionnaire to 489 respondents in three leading public hospitals from 1 to 9 November 2019. Multi-stage sampling forms the selection of respondents. Respondents were presented with a hypothetical scenario on NHI and asked whether they would be willing to pay for NHI. Chi-square was used to examine the association between categorical independent variables and WTP for NHI, and binary logistic regression was applied to determine the variables with the most predictive effect towards WTP for NHI.
RESULTS: Out of 462 usable responses, 344 respondents (74.5%) were willing to pay for NHI. The majority (51.3%) of the respondents were willing to pay 15 Malaysian Ringgit (3.70 US dollars) or more for the NHI scheme. Chi-square analysis revealed that age, marital status, education level, employment status, chronic diseases, and perception towards NHI were significantly associated with WTP for NHI. Binary regression analysis found that marital status and perception towards NHI have the most predictive effect on respondents' WTP for NHI.
CONCLUSION: This study revealed that the majority of the respondents are willing to pay for NHI if implemented in Malaysia. The findings lay a foundation for implementing a future NHI framework in Malaysia and reference future health financing research.