Physicians' intention to provide exercise counseling to patients in Taiwan: an examination based on the Theory of Planned Behavior

Differences in influencing mechanism of clinicians' adoption behavior for liver cancer screening technology between the leading and subordinate hospitals within medical consortiums

BACKGROUND

Medical consortiums have been extensively established to facilitate the integration of health resources and bridge the technical gap among member institutions. However, some commonly appropriate technologies remain stagnant in subordinate hospitals, although they have been routinely applied in leading hospitals. Besides, the mechanism underlying differences in clinicians' adoption behavior at different levels of institutions was unknown. Therefore, this study aimed to investigate the differences in influencing mechanisms of clinicians' hepatic contrast-enhanced ultrasound technology (CEUS) utilization behavior between leading and subordinate hospitals within medical consortiums, thus providing clues for expanding effective and appropriate technologies within integrated care systems.

METHODS

A self-designed scale was developed based on the theory of planned behavior (TPB). A multistage sampling method was applied to investigate clinicians who were aware of CEUS and worked in liver disease-related departments within the sampled medical institutions. The final sample size was 289. AMOS 24.0 software was used to construct multi-group structural equation modeling (SEM) to validate the hypotheses and determine the mechanism of hepatic CEUS utilization.

RESULTS

It revealed that behavioral intention significantly influenced adoption behavior, regardless of whether it was in leading hospitals or subordinate hospitals (β = 0.283, p < 0.001). Furthermore, behavioral attitude (β = 0.361, p < 0.001) and perceived behavioral control (β = 0.582, p < 0.001) exerted significant effects on adoption behavior through behavioral intention. However, in leading hospitals, subjective norm had a significant positive effect on behavioral intention (β = 0.183, p < 0.01), while it had a significant negative impact on behavioral intention in the subordinate hospitals (β = -0.348, p < 0.01).

CONCLUSION

To effectively translate the adoption intention into actual behavior, it is recommended to elucidate the demand and facilitators involved in the process of health technology adoption across leading and subordinate hospitals. Additionally, bolstering technical support and knowledge dissemination within subordinate hospitals while harnessing the influential role of key individuals can further enhance this transformative process.

A state-wide education program on opioid use disorder: influential community members' knowledge, beliefs, and opportunities for coalition development

BACKGROUND

Deep South states, particularly Alabama, experience disproportionately higher opioid prescribing rates versus national rates. Considering limited opioid use disorder (OUD) providers in this region, collaborative efforts between non-healthcare professionals is critical in mitigating overdose mortality. The Alabama Opioid Training Institute (OTI) was created in 2019 to empower community members to take action in combatting OUD in local regions. The OTI included: 1) eight full-day in-person conferences; and 2) an interactive mobile-enabled website ( https://alabamaoti.org ). This study assessed the impact of the OTI on influential community members' knowledge, abilities, concerns, readiness, and intended actions regarding OUD and opioid overdose mitigation.

METHODS

A one-group prospective cohort design was utilized. Alabama community leaders were purposively recruited via email, billboards, television, and social media advertisements. Outcome measures were assessed via online survey at baseline and post-conference, including: OUD knowledge (percent correct); abilities, concerns, and readiness regarding overdose management (7-point Likert-type scale, 1 = strongly disagree to 7 = strongly agree); and actions/intended actions over the past/next 6 months (8-item index from 0 to 100% of the time). Conference satisfaction was also assessed. Changes were analyzed using McNemar or Marginal Homogeneity tests for categorical variables and two-sided paired t-tests for continuous variables (alpha = 0.05).

RESULTS

Overall, 413 influential community members participated, most of whom were social workers (25.7%), female (86.4%), and White (65.7%). Community members' OUD knowledge increased from mean [SD] 71.00% [13.32] pre-conference to 83.75% [9.91] post-conference (p < 0.001). Compared to pre-conference, mean [SD] ability scale scores increased (3.72 [1.55] to 5.15 [1.11], p < 0.001) and concerns decreased (3.19 [1.30] to 2.64 [1.17], p < 0.001) post-conference. Readiness was unchanged post-conference. Attendees' intended OUD-mitigating actions in the next 6 months exceeded their self-reported actions in the past 6 months, and 92% recommended the OTI to others.

CONCLUSIONS

The Alabama OTI improved community leaders' knowledge, abilities, and concerns regarding OUD management. Similar programs combining live education and interactive web-based platforms can be replicated in other states.

Evaluation of a Clinical Platform to Promote Chronic Disease Management

Self-reported data suggest American adults with multiple chronic conditions account for 25.7% to 60% of the population. Despite emphasis on information technology to improve quality in health care, data addressing outcomes of clinically focused, provider-oriented dashboards are limited. To explore integrating performance platforms into clinical care, the authors designed a platform-based intervention to address 2 prevalent chronic conditions with significant long-term burden. This study used a performance platform to enhance clinicians' management of patients with diabetes and osteoporosis. Descriptive statistics were used to summarize patients' surveys and quality metrics, and to analyze clinicians' knowledge, attitudes, and beliefs in the pre and post time frames. The frequency of screening for osteoporosis in women improved post intervention (40% vs. 44%, P < 0.0001), whereas other quality metrics did not. Clinician respondents were primarily physicians (82%), white (73%), internal medicine specialists (58%), with an average of 18 years' experience, and nearly equally male and female. Their percent of correctly answered knowledge questions increased slightly in the postintervention phase for osteoporosis and hypoglycemia (0.53 and 1.74, respectively); however, results were not statistically significant (P > 0.4). Post intervention, clinicians reported that their attitudes and beliefs regarding disease management had changed in the past 6 months in a positive direction. Although few outcomes studied changed over time, results suggest that performance platforms may have a role to play in managing chronic conditions. However, their efficacy must continue to be evaluated in order to improve understanding of optimal approaches to integrating technology into patient care.