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Doctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect user satisfaction and doctors' engagement behaviors. However, whether and how DMIC occurs is still ambiguous because the topic is rarely examined. To bridge this gap, this study explores doctors' participation in DMIC services and its effects on their online performance, as well as its effect on patients' evaluation of them on OHC platforms.

The authors propose hypotheses based on structural holes theory. A unique dataset obtained from one of the most popular OHCs in China is used to test the hypotheses, and difference-in-differences estimation is adopted to test the causality of the relationship.

The results demonstrate that providing DMIC services improves doctors' online consultation performance and patients' evaluations of them but has no significant effect on doctors' knowledge-sharing performance on OHC platforms. Doctors' knowledge-sharing performance and consultation performance mediate the relationship between participation in DMIC services and patients' evaluation of doctors. Regarding doctors' participation in DMIC services, its impact on doctors' consultation performance and patients' evaluation of them is weaker for doctors with higher professional titles than for doctors with lower professional titles.

The findings clarify the value creation mechanisms of online collaboration between doctors and medical institutions and thereafter facilitate doctors' participation in DMIC services and enhance the sustainable development of OHCs.

The author studies the determinants of public trust in government doctors and hospitals (DH) – a crucial indicator of the quality of a country's healthcare system – in India by analyzing the India Human Development Survey (IHDS) 2011–2012.

The author uses descriptive statistics and a set of ordered probit regression models controlling for a set of individual-specific, household-level and other covariates and analyze across heterogeneous contexts (national/rural/urban/male heads/female heads/social groups).

Across contexts, people reporting a great deal of trust in private DH (PDH) are significantly more likely to report a great deal of trust in government DH. Those people with a great deal of trust in government schools to provide good education (vis-à-vis people with only some trust in government school) have significantly higher likelihood of reporting a great deal of trust in government DH. Visiting a private doctor last time (vis-à-vis a government doctor) makes reporting higher trust levels in government DH less likely.

India's healthcare system is afflicted with several resource allocation problems and low public trust issues are indicative of misgovernance. In presence of limited state capacity, ubiquitous corruption and underwhelming institutional trust, understanding the factors influencing public trust in healthcare providers is critical to designing appropriate trust-enhancing public health policies.

Given the sparse empirical literature on public trust in healthcare systems in the developing countries such as India, this study is a pertinent contribution as the study explains the determinants of public trust in DH using a comprehensive unit-recorded household survey dataset.

One of the targets of sustainable development goal (SDG) 2030 is to reduce maternal mortality ratio to 70 per 100,000 live births and ensure pregnant women attend at least four antenatal visits. In urban Pakistan, it is expected that more women utilize antenatal care (ANC) because urban areas have more resources, higher education and wealthier people. Despite these facilities, the lack of utilization of antenatal care among pregnant women is abysmal—the latest estimate by Pakistan Demographic and Health Survey (PDHS) places the figure at 63%. Therefore, the paper attempts to identify the factors that affect the utilization of ANC in urban areas by using the PDHS 2017–2018.

The study used cross-tabs to determine the socioeconomic characteristics of women, and used the marginal effects from the probit model to evaluate the significance and relationship between socioeconomic determinants and antenatal visits. Finally, the study used Adam Wagstaff's decomposition analysis to identify the magnitude and main determinants of inequality.

The marginal effects show that socioeconomic variables such as education, province of residence, birth of a first child, age, education and consulting a doctor predicted the probability of 4+ antenatal visits. The decomposition analysis shows that women who consulted a doctor, belonged to non-poor class, were more educated and older contributed significantly to the inequality of antenatal care utilization in urban areas.

The study calls for increasing the number of doctors, promoting education, increasing awareness related to pregnancy complications and reducing wealth inequality. Moreover, the study also calls for increasing global intervention by implementing programs similar to ending preventable maternal mortality (EPPM) to increase antenatal coverage.

The distinctiveness of the study can be found in the fact that no study has been conducted that analyses the inequality related to the usage of ANC in urban areas of Pakistan.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0390

This study aims to investigate the consumer behavior toward telemedicine services in India during the COVID-19 pandemic onset. With lockdown restrictions and safety concerns in visiting brick-and-mortar clinics or hospitals during the pandemic, Telemedicine had emerged as a potent alternative for seeking redressal to health issues. Based on theory and focus interviews with the telemedicine users, the researchers proposed a model to understand the intent and actual usage of telemedicine in India.

The cross-sectional study undertaken used a questionnaire designed on a seven-point Likert scale and administered to respondents with the objective of identifying the determinants of intent and actual usage of telemedicine services. Simple random sampling was used to collect primary data. The data was cleaned and finally a sample of 405 responses complete in all respects was considered for analysis. The questionnaire comprised of 34 items and following the recommendation of Hair et al. (2016), which says the minimum sample size in structural equation modeling should be ten times the number of indicator variables, a sample size of 405 was deemed adequate.

The research paper finds that performance expectancy, attitude, credibility and self-efficacy positively impact the intention of consumers to use telemedicine services. As the effort expectancy or risk perception toward telemedicine increases the intent and actual usage of telemedicine decreases. The intention to use telemedicine emerged as a strong predictor of the actual usage of telemedicine. Intent to use telemedicine was explained 81.4% by its predictors of performance expectancy, effort expectancy, attitude, risk, credibility and self-efficacy, and actual usage was explained 79.9% by its predictors. This study also reports that telemedicine was found to be popular among chronic as well as episodic patients though the preference was skewed in favor of the episodic patients. One of the advantages of telemedicine is its availability round the clock, and the study found that 8 a. m. to 12 noon time slot as the most preferred slot for seeking telemedicine services.

Chang (2004) opined that telemedicine can fulfill the needs of all stakeholders: citizens, health-care consumers, medical doctors and health-care professionals, policymakers, and so on. Considering the promise telemedicine holds, this realm must be studied and leveraged to the full potential. The study found that patients were using telemedicine even for their day-to-day aliments. This indicates a growing popularity of telemedicine and as such an opportunity for telemedicine companies to leverage it. In India, pharmaceutical companies cannot give commercial advertisements for medicines, and the same can only be sold through a registered medical practitioner’s prescription. As such there is total dependency on the medical practitioner for the sale of medicines. Telemedicine companies offer services of home delivering medicines clubbed with medical consultation thus giving them forward integration in their business models. Using telemedicine the patients had control over the timings of the services offered, and as such the waiting time to get a consultation and subsequent treatment was reduced considerably. Best medical advice from across the globe is available to the patient at less cost. Medical practitioners also stand to benefit as they can treat a variety of cases, collaborate among the medical fraternity and give consultation safely in case of fatal contagious diseases.

This study points to a definite growing popularity of telemedicine services not only in episodic patients but also chronic patients. Telemedicine with its unique advantages holds the promise to grow exponentially in the future and is a compelling health-care segment to focus on for delivering health-care solution to the geographically distant consumers.

Supporting and nurturing effective communication between healthcare professionals is vital to protect patients from harm. However, not all forms of employee voice are effective. Fear can lead to defensive voice, while the role of other emotions to drive voice behaviour is less well understood. This paper aims to understand what role the broader range of emotions, including compassion and shame, experienced by healthcare professionals following patient safety incidents (PSI) play in the subsequent enactment of prosocial voice, a positive and other-oriented form of communication.

This study is based on data from a single English NHS hospital: interviews with healthcare professionals involved in PSIs (N = 40), observations at quality and risk committees and meetings (N = 26 h) and review of investigative documents (N = 33). Three recent PSIs were selected for cross-case analysis based upon organisational theory related to professional hierarchy, employee voice and literature on emotions.

Among three cases, the authors found variance in context, emotional experience and voice behaviour. Where professionals feared blame and repercussion, voice was defensive. Meanwhile where they experienced shame and compassion, prosocial voice was enacted to protect patients.

Healthcare organisations seeking to foster prosocial voice should: (1) be more considerate of professionals' emotional experiences post-PSI and ensure adequate support for recovery (2) establish norms for professionals to share their struggles with others (3) reward professionals who demonstrate caring behaviour (4) buffer professionals from workplace pressures.

The authors’ study highlights how emotional experiences, such as shame and compassion, can mediate blame and defensiveness and lead to the enactment of prosocial voice in the professional hierarchy.

In times of crisis, such as the Covid-19 global pandemic, journalists who write about biomedical information must have the strategic aim to be clearly and easily understood by everyone. In this study, we assume that journalistic discourse could benefit from language redundancy to improve clarity and simplicity aimed at science popularization. The concept of language redundancy is theoretically discussed with the support of discourse analysis and information theory. The methodology adopted is a corpus-based qualitative approach. Two corpora samples with Brazilian Portuguese (BP) texts on Covid-19 were collected. One with texts from a monthly science digital magazine called Pesquisa FAPESP aimed at students and researchers for scientific information dissemination and the other with popular language texts from a news Portal G1 (Rede Globo) aimed at unspecified and/or non-specialized readers. The materials were filtered with two descriptors: “vaccine” and “test.” Preliminary analysis of examples from these materials revealed two categories of redundancy: paraphrastic and polysemic. Paraphrastic redundancy is based on concomitant language reformulation of words, sentences, text excerpts, or even larger units. Polysemic redundancy does not easily show material evidence, but is based on cognitively predictable semantic association in socio-cultural domains. Both kinds of redundancy contribute, each in their own way, to improving text readability for science popularization in Brazil.