Knowledge management, health information technology and nurses' work engagement

Impact of workplace bullying on work engagement among early career employees

This study aims to measure the impact of workplace bullying on work engagement in terms of employee silence and knowledge sharing. It also helps to explain how psychological contract breach moderates the bullying-silence relationship. For this study, data is collected from 384 early-career employees having experience up to three years from seven banks of Lahore, Pakistan. Findings of this study reveals that workplace bullying has a positive relationship with employee silence and negative relationship with work engagement. Results of all moderation and mediated variables are significantly related to each other. However, the results explain that a psychological contract breach slightly moderates the bullying-silence relationship. Survey-based questionnaire, cross-sectional research design, and convenience-based sampling technique are some of the limitations of this study. This is the first study that tried to investigate the bullying-engagement relationship among early-career employees in the banking sector of Lahore, Pakistan. This study may help practitioners and policymakers to develop anti-bullying laws that can support the management in overcoming the negative workplace environment. This study aims to promote an equal opportunity for all employees where they can raise their voices about misconduct. This is the first study that investigated the victimization of bullying behavior among early-career employees in a Pakistani cultural context.

Impacts of technology implementation on nurses' work motivation, engagement, satisfaction and well-being: A realist review

AIM

To examine current literature for causal explanations on how, why and under what circumstances, implementation of a new hospital electronic medical record system or similar technology impacts nurses' work motivation, engagement, satisfaction or well-being.

BACKGROUND

Implementation of new technology, such as electronic medical record systems, affects nurses and their work, workflows and inter-personal interactions in healthcare settings. Multiple individual and organisational-level factors can affect technology adoption by nurses and may have negative consequences for nurses and patient safety.

DESIGN

Five-step realist review method and Realist And Meta-narrative Evidence Syntheses: Evolving Standards checklist was used to guide this review. Eight initial theories (programme theories) were used as the basis to explore, examine and refine literature from a range of sources.

DATA SOURCES

Literature from five databases (APA PsycInfo, CINAHL, Embase, IEEE Xplore and MEDLINE Complete) and grey literature (from 1 January 2000 to 31 October 2021) were systematically searched and retrieved on 4 November 2021.

RESULTS

In all, 8980 records were screened at the title and abstract level, of which 1027 full texts were screened and 10 were included in the review. Seven studies assessed concepts in both pre- and post-technology implementation. Most common contexts related to knowledge, rationale and skills to use new technology. Mechanisms that impacted nurses or nursing care delivery included: nurses' involvement in technology implementation processes; nurses' perceptions, understanding and limitations of technology impact(s) on patient care delivery; social supports; skills; implementation attitude and hardware. Work satisfaction was the most frequently examined outcome. An analysis led to nine final programme theories (including two original, six revised and one new programme theory).

CONCLUSION

Nurses must be informed about the rationale for new technology and have the knowledge and skills for its use. Understanding nurses' work motivation and attitudes related to technology adoption in the workplace can support work engagement, satisfaction and well-being.

IMPLICATIONS FOR THE PROFESSION

Complex contexts and mechanisms play a role in nurses' work motivation, engagement, satisfaction and well-being with the implementation of new technology into healthcare settings.

RELEVANCE TO CLINICAL PRACTICE

Nurses, their work and workflows are all influenced by the implementation of new technologies (such as electronic medical records), which in turn has consequences for patient safety and quality of care.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

PROSPERO REGISTRATION NUMBER

CRD42020131875 (https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=131875).

Routine Health Information System (RHIS) improvements for strengthened health system management

BACKGROUND

A well-functioning routine health information system (RHIS) can provide the information needed for health system management, for governance, accountability, planning, policy making, surveillance and quality improvement, but poor information support has been identified as a major obstacle for improving health system management.

OBJECTIVES

To assess the effects of interventions to improve routine health information systems in terms of RHIS performance, and also, in terms of improved health system management performance, and improved patient and population health outcomes.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE Ovid and Embase Ovid in May 2019. We searched Global Health, Ovid and PsycInfo in April 2016. In January 2020 we searched for grey literature in the Grey Literature Report and in OpenGrey, and for ongoing trials using the International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov. In October 2019 we also did a cited reference search using Web of Science, and a 'similar articles' search in PubMed.

SELECTION CRITERIA

Randomised and non-randomised trials, controlled before-after studies and time-series studies comparing routine health information system interventions, with controls, in primary, hospital or community health care settings. Participants included clinical staff and management, district management and community health workers using routine information systems.

DATA COLLECTION AND ANALYSIS

Two authors independently reviewed records to identify studies for inclusion, extracted data from the included studies and assessed the risk of bias. Interventions and outcomes were too varied across studies to allow for pooled risk analysis. We present a 'Summary of findings' table for each intervention comparisons broadly categorised into Technical and Organisational (or a combination), and report outcomes on data quality and service quality. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included six studies: four cluster randomised trials and two controlled before-after studies, from Africa and South America. Three studies evaluated technical interventions, one study evaluated an organisational intervention, and two studies evaluated a combination of technical and organisational interventions. Four studies reported on data quality and six studies reported on service quality. In terms of data quality, a web-based electronic TB laboratory information system probably reduces the length of time to reporting of TB test results, and probably reduces the overall rate of recording errors of TB test results, compared to a paper-based system (moderate certainty evidence). We are uncertain about the effect of the electronic laboratory information system on the recording rate of serious (misidentification) errors for TB test results compared to a paper-based system (very low certainty evidence). Misidentification errors are inaccuracies in transferring test results between an electronic register and patients' clinical charts. We are also uncertain about the effect of the intervention on service quality (timeliness of starting or changing a patient's TB treatment) (very low certainty evidence). A hand-held electronic device probably improves the length of time to report TB test results, and probably reduces the total frequency of recording errors in TB test results between the laboratory notebook and the electronic information record system, compared to a paper-based system (moderate-certainty evidence). We are, however, uncertain about the effect of the intervention on the frequency of serious (misidentification) errors in recording between the laboratory notebook and the electronic information record, compared to a paper-based system (very low certainty evidence). We are uncertain about the effect of a hospital electronic health information system on service quality (length of time outpatients spend at hospital, length of hospital stay, and hospital revenue collection), compared to a paper-based system (very low certainty evidence). High-intensity brief text messaging (SMS) may make little or no difference to data quality (in terms of completeness of documentation of pregnancy outcomes), compared to low-intensity brief text messaging (low-certainty evidence). We are uncertain about the effect of electronic drug stock notification (with either data management support or product transfer support) on service quality (in terms of transporting stock and stock levels), compared to paper-based stock notification (very low certainty evidence). We are uncertain about the effect of health information strengthening (where it is part of comprehensive service quality improvement intervention) on service quality (health worker motivation, receipt of training by health workers, health information index scores, quality of clinical observation of children and adults) (very low certainty evidence).

AUTHORS' CONCLUSIONS

The review indicates mixed effects of mainly technical interventions to improve data quality, with gaps in evidence on interventions aimed at enhancing data-informed health system management. There is a gap in interventions studying information support beyond clinical management, such as for human resources, finances, drug supply and governance. We need to have a better understanding of the causal mechanisms by which information support may affect change in management decision-making, to inform robust intervention design and evaluation methods.

Future Trends of the Primary Healthcare System in Iran: A Qualitative Study

Background

Primary healthcare system in Iran has played an extensive role in promoting people health in the past decades. However, regarding universal developments in the different global aspects effective on health, the performance of this system has been influenced significantly. The aim of the present research is to identify the future trends of the primary health care in Iran.

Methods

The participants of this qualitative case study were experts in primary healthcare, which were selected and interviewed through purposive sampling method. The interview process was saturated after 25 interviews, so we stopped the process at this point. Framework analysis based on STEEP model used to analysis the interviews.

Results

The most important social/value, technological, economic, environmental, and political future trends of primary healthcare in Iran included demographic transition, epidemiological transition, social and cultural changes, emergence of modern and advanced technologies, internet and cyberspace, budgeting limitations, resource management, changing paradigm from volume to value in providing health services, environmental pollutions, natural disasters, health governance, intellectual paradigm of senior officials, regional security, international development, and other internal factors of the health system.

Conclusions

The identified factors can be turned into opportunities for Iran primary healthcare system if health planners and policymakers have a deep and accurate look at these influential factors and manage them properly.

Inclusive/exclusive talent management, responsible leadership and organizational downsizing

Purpose

The purpose of this paper is to focus on three Egyptian public business schools in an attempt to explore the effect of inclusive/exclusive talent management on the organizational downsizing of academics and the mediating role of responsible leadership.

Design/methodology/approach

A total of 330 academics were contacted and given a set of questionnaires. After three follow-ups, a total of 240 responses were collected with a response rate of 72.73 percent. Multiple regressions were employed to show how much variation in organizational downsizing can be explained by inclusive/exclusive talent management and responsible leadership.

Findings

The findings highlighted a very weak statistical association between academics’ inclusive talent management and organizational downsizing, whereas a strong statistical association has been discovered between exclusive talent management and organizational downsizing. Statistical analysis showed that responsible leadership has no role in mediating the relationship between inclusive/exclusive talent management of academics and their downsizing.

Research limitations/implications

The authors have focused on only three Egyptian public business schools, the matter that may limit opportunities to generalize the results of this study to private business schools and other faculties in Egypt. Future research could use a double source method.

Practical implications

By preparing a set of academic competences, business schools will be able to classify their academic staff into talented and non-talented, and accordingly they can initiate their tailored downsizing strategies. Furthermore, undertaking a responsible strategy of downsizing, which includes and is not limited to justifying the need to decrease academic staff numbers to guarantee post-redundancy care practices for laid-off academics may alleviate many of the negative psychological, societal and economic consequences of downsizing.

Originality/value

This paper contributes by filling a gap in HR management and higher education literature, in which empirical studies on the relationship between talent management and academics’ organizational downsizing have been limited until now. This may create better research opportunities for cross-disciplinary papers that should be done by HR, higher education and leadership scholars.

An in-depth discussion and illustration of partial least squares structural equation modeling in health care

Partial least squares structural equation modeling (PLS-SEM) has become more popular across many disciplines including health care. However, articles in health care often fail to discuss the choice of PLS-SEM and robustness testing is not undertaken. This article presents the steps to be followed in a thorough PLS-SEM analysis, and includes a conceptual comparison of PLS-SEM with the more traditional covariance-based structural equation modeling (CB-SEM) to enable health care researchers and policy makers make appropriate choices. PLS-SEM allows for critical exploratory research to lay the groundwork for follow-up studies using methods with stricter assumptions. The PLS-SEM analysis is illustrated in the context of residential aged care networks combining low-level and high-level care. Based on the illustrative setting, low-level care does not make a significant contribution to the overall quality of care in residential aged care networks. The article provides key references from outside the health care literature that are often overlooked by health care articles. Choosing between PLS-SEM and CB-SEM should be based on data characteristics, sample size, the types and numbers of latent constructs modelled, and the nature of the underlying theory (exploratory versus advanced). PLS-SEM can become an indispensable tool for managers, policy makers and regulators in the health care sector.