Customer relationship management systems (CRMS) in the healthcare environment: A systematic literature review.
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ABSTRACT:
SUBMITTER: Baashar Y
PROVIDER: S-EPMC7194637 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Chronic wounds such as diabetic foot ulcers, venous leg ulcers, and pressure ulcers are a massive burden to health care facilities. Many randomized controlled trials on different wound care elements have been conducted and published in the Cochrane Library, all of which have only a low evidential basis. Thus, health care professionals are forced to rely on their own experience when making decisions regarding wound care. To progress from experience-based practice to evidence-based wound care practice, clinical decision support systems (CDSS) that help health care providers with decision-making in a clinical workflow have been developed. These systems have proven useful in many areas of the health care sector, partly because they have increased the quality of care, and partially because they have generated a solid basis for evidence-based practice. However, no systematic reviews focus on CDSS within the field of wound care to chronic wounds. OBJECTIVE:The aims of this systematic literature review are (1) to identify models used in CDSS that support health care professionals treating chronic wounds, and (2) to classify each clinical decision support model according to selected variables and to create an overview. METHODS:A systematic review was conducted using 6 databases. This systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement for systematic reviews. The search strategy consisted of three facets, respectively: Facet 1 (Algorithm), Facet 2 (Wound care) and Facet 3 (Clinical decision support system). Studies based on acute wounds or trauma were excluded. Similarly, studies that presented guidelines, protocols and instructions were excluded, since they do not require progression along an active chain of reasoning from the clinicians, just their focus. Finally, studies were excluded if they had not undergone a peer review process. The following aspects were extracted from each article: authors, year, country, the sample size of data and variables describing the type of clinical decision support models. The decision support models were classified in 2 ways: quantitative decision support models, and qualitative decision support models. RESULTS:The final number of studies included in the systematic literature review was 10. These clinical decision support models included 4/10 (40%) quantitative decision support models and 6/10 (60%) qualitative decision support models. The earliest article was published in 2007, and the most recent was from 2015. CONCLUSIONS:The clinical decision support models were targeted at a variety of different types of chronic wounds. The degree of accessibility of the inference engines varied. Quantitative models served as the engine and were invisible to the health care professionals, while qualitative models required interaction with the user.
| S-EPMC6238865 | biostudies-other
Project description:IntroductionManagement has been identified as a critical component of organisational resilience when responding to adverse events and crises, as managers must ensure an effective operational response and provide direction and guidance to teams. While there are many management approaches, strategies and interventions that have been applied and studied in healthcare, the impact of them in relation to resilience in healthcare has not been explored, particularly at the organisational level. Understanding the impact of management approaches, strategies and interventions on resilience has the potential to inform healthcare organisations on how to better use management to prepare and respond to organisational adverse events. The objective of this mixed-methods systematic review is to understand the relationship between management and organisational resilience in healthcare, including management approaches and strategies that promote resilience in healthcare.Methods and analysisA search through MEDLINE, Cumulative Index to Nursing and Allied Health Literature, PubMed and EMBASE will be conducted between 1 August 2021 and 31 December 21. This review will consider empirical quantitative, qualitative and mixed-methods studies published in English from 2010 to the present that meet the inclusion and exclusion criteria. Selected studies will be assessed in detail and extracted data will be reviewed by two independent reviewers. Results of the search will be reported in full in the final systematic review and presented in a Preferred Reporting Items for Systematic Reviews and Meta-Analysis flow diagram. This review will follow a convergent integrated approach to data synthesis and integration.Ethics and disseminationThis systematic literature review includes no collection of primary data; hence ethical approval will not be sought. The outcomes from this review will be disseminated in a peer-reviewed journal, as conference presentation, and as condensed summary for managers in healthcare and policy-makers.Prospero registration numberCRD42020223362.
| S-EPMC8291312 | biostudies-literature
Project description:PurposeResearch shows that the professional healthcare working environment influences the quality of care, safety climate, productivity, and motivation, happiness, and health of staff. The purpose of this systematic literature review was to assess instruments that provide valid, reliable and succinct measures of health care professionals' work environment (WE) in hospitals.Data sourcesEmbase, Medline Ovid, Web of Science, Cochrane CENTRAL, CINAHL EBSCOhost and Google Scholar were systematically searched from inception through December 2018.Study selectionPre-defined eligibility criteria (written in English, original work-environment instrument for healthcare professionals and not a translation, describing psychometric properties as construct validity and reliability) were used to detect studies describing instruments developed to measure the working environment.Data extractionAfter screening 6397 titles and abstracts, we included 37 papers. Two reviewers independently assessed the 37 instruments on content and psychometric quality following the COSMIN guideline.Results of data synthesisOur paper analysis revealed a diversity of items measured. The items were mapped into 48 elements on aspects of the healthcare professional's WE. Quality assessment also revealed a wide range of methodological flaws in all studies.ConclusionsWe found a large variety of instruments that measure the professional healthcare environment. Analysis uncovered content diversity and diverse methodological flaws in available instruments. Two succinct, interprofessional instruments scored best on psychometrical quality and are promising for the measurement of the working environment in hospitals. However, further psychometric validation and an evaluation of their content is recommended.
| S-EPMC7654380 | biostudies-literature
Project description:BACKGROUND:Clinical care review is the process of retrospectively examining potential errors or gaps in medical care, aiming for future practice improvement. The objective of our systematic review is to identify the current state of care review reported in peer-reviewed publications and to identify domains that contribute to successful systems of care review. METHODS:A librarian designed and conducted a comprehensive literature search of eight electronic databases. We evaluated publications from January 1, 2000, through May 31, 2016, and identified common domains for care review. Sixteen domains were identified for further abstraction. RESULTS:We found that there were few publications that described a comprehensive care review system and more focus on individual pathways within the overall systems. There is inconsistent inclusion of the identified domains of care review. CONCLUSION:While guidelines for some aspects of care review exist and have gained traction, there is no comprehensive standardized process for care review with widespread implementation.
| S-EPMC5805667 | biostudies-literature
Project description:BackgroundThere has been increasing interest in examining the relationship between physician wellbeing and quality of patient care. However, few reviews have specifically focused on resident burnout and quality of patient care. The purpose of this systematic literature review of the current scientific literature is to address the question, "How does resident burnout affect the quality of healthcare related to the dimensions of acceptability and safety?"MethodsThis systematic literature review uses a multi-step screening process of publicly available peer-reviewed studies from five electronic databases: (1) Medline Current, (2) Medline In-process, (3) PsycINFO, (4) Embase, and (5) Web of Science.ResultsThe electronic literature search resulted in the identification of 4638 unique citations. Of these, 10 articles were included in the review. Studies were assessed for risk of bias. Of the 10 studies that met the inclusion criteria, eight were conducted in the US, one in The Netherlands, and one in Mexico. Eight of the 10 studies focused on patient safety. The results of these included studies suggest there is moderate evidence that burnout is associated with patient safety (i.e., resident self-perceived medical errors and sub-optimal care). There is less evidence that specific dimensions of burnout are related to acceptability (i.e., quality of care, communication with patients).ConclusionsThe results of this systematic literature review suggest a relationship between patient safety and burnout. These results potentially have important implications for the medical training milieu because residents are still in training and at the same time are asked to teach students. The results also indicate a need for more evidence-based interventions that support continued research examining quality of care measures, especially as they relate to acceptability.
| S-EPMC5680598 | biostudies-literature
Project description:Assessment in the Education system plays a significant role in judging student performance. The present evaluation system is through human assessment. As the number of teachers' student ratio is gradually increasing, the manual evaluation process becomes complicated. The drawback of manual evaluation is that it is time-consuming, lacks reliability, and many more. This connection online examination system evolved as an alternative tool for pen and paper-based methods. Present Computer-based evaluation system works only for multiple-choice questions, but there is no proper evaluation system for grading essays and short answers. Many researchers are working on automated essay grading and short answer scoring for the last few decades, but assessing an essay by considering all parameters like the relevance of the content to the prompt, development of ideas, Cohesion, and Coherence is a big challenge till now. Few researchers focused on Content-based evaluation, while many of them addressed style-based assessment. This paper provides a systematic literature review on automated essay scoring systems. We studied the Artificial Intelligence and Machine Learning techniques used to evaluate automatic essay scoring and analyzed the limitations of the current studies and research trends. We observed that the essay evaluation is not done based on the relevance of the content and coherence.Supplementary informationThe online version contains supplementary material available at 10.1007/s10462-021-10068-2.
| S-EPMC8460059 | biostudies-literature
Project description:IntroductionSeveral versions of Early Warning Systems (EWS) are used in obstetrics to detect and treat early clinical deterioration to avert morbidity and mortality. EWS can potentially be useful to improve the quality of care and reduce the risk of maternal mortality in resource-limited settings. We conducted a systematic literature review of published obstetric early warning systems, define their predictive accuracy for morbidity and mortality, and their effectiveness in triggering corrective actions and improving health outcomes.MethodsWe systematically searched for primary research articles on obstetric EWS published in peer-reviewed journals between January 1997 and March 2018 in Medline, CINAHL, SCOPUS, Science Direct, and Science Citation Index. We also searched reference lists of relevant articles and websites of professional societies. We included studies that assessed the predictive accuracy of EWS to detect clinical deterioration, or/and their effectiveness in improving clinical outcomes in obstetric inpatients. We excluded studies with a paediatric or non-obstetric adult population. Cross-sectional and qualitative studies were also excluded. We performed a narrative synthesis since the outcomes reported were heterogeneous.ResultsA total of 381 papers were identified, 17 of which met the inclusion criteria. Eleven of the included studies evaluated the predictive accuracy of EWS for obstetric morbidity and mortality, 5 studies assessed the effectiveness of EWS in improving clinical outcomes, while one study addressed both. Sixteen published EWS versions were reviewed, 14 of which included five basic clinical observations (pulse rate, respiratory rate, temperature, blood pressure, and consciousness level). The obstetric EWS identified had very high median (inter-quartile range) sensitivity-89% (72% to 97%) and specificity-85% (67% to 98%) but low median (inter-quartile range) positive predictive values-41% (25% to 74%) for predicting morbidity or ICU admission. Obstetric EWS had a very high accuracy in predicting death (AUROC >0.80) among critically ill obstetric patients. Obstetric EWS improves the frequency of routine vital sign observation, reduces the interval between the recording of specifically defined abnormal clinical observations and corrective clinical actions, and can potentially reduce the severity of obstetric morbidity.ConclusionObstetric EWS are effective in predicting severe morbidity (in general obstetric population) and mortality (in critically ill obstetric patients). EWS can contribute to improved quality of care, prevent progressive obstetric morbidity and improve health outcomes. There is limited evidence of the effectiveness of EWS in reducing maternal death across all settings. Clinical parameters in most obstetric EWS versions are routinely collected in resource-limited settings, therefore implementing EWS may be feasible in such settings.
| S-EPMC6544303 | biostudies-literature
Project description:Introduction: Healthcare systems increasingly move toward "value-based healthcare" (VBHC), aiming to further improve quality and performance of care as well as the sustainable use of resources. Evidence about healthcare professionals' contributions to VBHC, experienced job demands and resources as well as employee well-being in VBHC is scattered. This systematic review synthesizes this evidence by exploring how VBHC relates to the healthcare professional, and vice versa. Method: Seven databases were systematically searched for relevant studies. The search yielded 3,782 records, of which 45 were eligible for inclusion based on a two-step screening process using exclusion criteria performed by two authors independently. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (MMAT). Based on inductive thematic analysis, the Job Demands-Resources (JD-R) model was modified. Subsequently, this modified model was applied deductively for a second round of thematic analysis. Results: Ten behaviors of healthcare professionals to enhance value in care were identified. These behaviors and associated changes in professionals' work content and work environment impacted the experienced job demands and resources and, in turn, employee well-being and job strain. This review revealed 16 constructs as job demand and/or job resource. Examples of these include role strain, workload and meaning in work. Four constructs related to employee well-being, including engagement and job satisfaction, and five constructs related to job strain, including exhaustion and concerns, were identified. A distinction was made between job demands and resources that were a pure characteristic of VBHC, and job demands and resources that resulted from environmental factors such as how care organizations shaped VBHC. Conclusion and Discussion: This review shows that professionals experience substantial job demands and resources resulting from the move toward VBHC and their active role therein. Several job demands are triggered by an unsupportive organizational environment. Hence, increased organizational support may contribute to mitigating or avoiding adverse psychosocial factors and enhance positive psychosocial factors in a VBHC context. Further research to estimate the effects of VBHC on healthcare professionals is warranted.
| S-EPMC8792751 | biostudies-literature
Project description:Backgrounds/aimsPost-hepatectomy liver failure (PHLF) is a serious complication following liver resection, with limited treatment options, and is associated with high mortality. There is a need to evaluate the role of systems that support the function of the liver after PHLF.AimsThe aim of this study was to review the literature and summarize the role of liver support systems (LSS) in the management of PHLF. Publications of interest were identified using systematically designed searches. Following screening, data from the relevant publications was extracted, and pooled where possible.FindingsSystematic review identified nine studies, which used either Plasma Exchange (PE) or Molecular Adsorbent Recirculating System (MARS) as LSS after PHLF. Across all studies, the pooled 90-day mortality rate was 38% (95% CI: 9-70%). However, there was substantial heterogeneity, likely since studies used a variety of definitions for PHLF, and had different selection criteria for patient eligibility for LSS treatment.ConclusionsThe current evidence is insufficient to recommend LSS for the routine management of severe PHLF, with the current literature consisting of only a limited number of studies. There is a definite need for larger, multicenter, prospective studies, evaluating the conventional and newer modalities of support systems, with a view to improve the outcomes in this group of patients.
| S-EPMC8180400 | biostudies-literature
Project description:ObjectiveTo review the literature on the views of healthcare professionals to the linkage of healthcare data and to identify any potential barriers and/or facilitators to participation in a data linkage system.MethodsPublished papers describing the views of healthcare professionals (HCPs) to data sharing and linkage were identified by searches of Medline, EMBASE, SCOPUS, CINAHL, and PsychINFO. The searches were limited to papers published in the English language from 2001 to 2011.ResultsA total of 2917 titles were screened. From these, 18 papers describing the views of HCPs about data linkage or data sharing of routinely collected healthcare data at an individual patient level were included. Views were generally positive, and potential benefits were reported. Facilitators included having trust in the system including data governance, reliability, and feedback. Some negative views, identified as barriers were also expressed including costs, data governance, technical issues, and privacy concerns. Effects on the physician-patient relationship, and workload were also identified as deterrent.DiscussionFrom the published literature included in this review, the views of HCPs were in general positive towards data sharing for public health purposes. The identification of barriers to contributing to a data linkage system allows these to be addressed in a planned data linkage project for pharmacovigilance. The main barriers identified were concerns about costs, governance and interference with the prescriber-patient relationship. These would have to be addressed if healthcare professionals are to support a data linkage system to improve patient safety.
| S-EPMC3957379 | biostudies-literature