The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation.

Background: Computerised decision support systems (CDSS) are widely used by nurses and allied health professionals but their effect on clinical performance and patient outcomes is uncertain. Objectives: Evaluate the effects of clinical decision support systems use on nurses', midwives' and allied health professionals' performance and patient outcomes and sense-check the results with developers and users. Eligibility criteria: Comparative studies (randomised controlled trials (RCTs), non-randomised trials, controlled before-and-after (CBA) studies, interrupted time series (ITS) and repeated measures studies comparing) of CDSS versus usual care from nurses, midwives or other allied health professionals. Information sources: Nineteen bibliographic databases searched October 2019 and February 2021. Risk of bias: Assessed using structured risk of bias guidelines; almost all included studies were at high risk of bias. Synthesis of results: Heterogeneity between interventions and outcomes necessitated narrative synthesis and grouping by: similarity in focus or CDSS-type, targeted health professionals, patient group, outcomes reported and study design. Included studies: Of 36,106 initial records, 262 studies were assessed for eligibility, with 35 included: 28 RCTs (80%), 3 CBA studies (8.6%), 3 ITS (8.6%) and 1 non-randomised trial, a total of 1318 health professionals and 67,595 patient participants. Few studies were multi-site and most focused on decision-making by nurses (71%) or paramedics (5.7%). Standalone, computer-based CDSS featured in 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile or handheld technology. Care processes - including adherence to guidance - were positively influenced in 47% of the measures adopted. For example, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling, and documenting care were improved if they used CDSS. Patient care outcomes were statistically - if not always clinically - significantly improved in 40.7% of indicators. For example, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity, and accurate triaging were features of professionals using CDSS compared to those who were not. Evidence limitations: Allied health professionals (AHPs) were underrepresented compared to nurses; systems, studies and outcomes were heterogeneous, preventing statistical aggregation; very wide confidence intervals around effects meant clinical significance was questionable; decision and implementation theory that would have helped interpret effects - including null effects - was largely absent; economic data were scant and diverse, preventing estimation of overall cost-effectiveness. Interpretation: CDSS can positively influence selected aspects of nurses', midwives' and AHPs' performance and care outcomes. Comparative research is generally of low quality and outcomes wide ranging and heterogeneous. After more than a decade of synthesised research into CDSS in healthcare professions other than medicine, the effect on processes and outcomes remains uncertain. Higher-quality, theoretically informed, evaluative research that addresses the economics of CDSS development and implementation is still required. Future work: Developing nursing CDSS and primary research evaluation. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme and will be published in Health and Social Care Delivery Research; 2023. See the NIHR Journals Library website for further project information. Registration: PROSPERO [number: CRD42019147773].

Computerised decision support systems (CDSS) are software or computer-based technologies providing advice to professionals making clinical decisions ­ for example, which patients to treat first in emergency departments. CDSS improve some doctors' decisions and patients' outcomes, but we don't know if they improve nurses', midwives' and therapists' or other staff decisions and patient outcomes. Research into, and health professionals' use of, technology ­ for example, in video consultations ­ has grown since the last relevant systematic review in 2009. We systematically searched electronic databases for research measuring how well nurses, midwifes and other therapists/staff followed CDSS advice, how CDSS influence their decisions, how safe CDSS are, and their financial costs and benefits. We interviewed CDSS users and developers and some patient representatives from a general practice to help understand our findings. Of 35 relevant studies ­ from 36,106 initially found ­ most (71%) focused on nurses. Just over half (57%) involved hospital-based staff, and three-quarters (75%) were from richer countries like the USA or the UK. Research quality had not noticeably improved since 2009 and all studies were at risk of potentially misleading readers. CDSS improved care in just under half (47%) of professional behaviours, such as following hand-disinfection guidance, working out insulin doses, and sampling blood on time. Patient care ­ judged using outcomes like falls, pressure ulcers, diabetes control and triage accuracy ­ was better in 41% of the care measured. There wasn't enough evidence to judge CDSS safety or the financial costs and benefits of systems. CDSS can improve some nursing and therapist decisions and some patient outcomes. Studies mostly measure different behaviours and outcomes, making comparing them hard. Theories explaining or predicting how decision support systems might work are not used enough when designing, implementing or evaluating CDSS. More research into the financial costs and benefits of CDSS and higher-quality evidence of their effects are still needed. Whether decision support for nurses, midwives and other therapists reliably improves decision-making remains uncertain.

Researching nurses' use of digital technology during the COVID-19 pandemic.

The adoption of digital technology by nurses accelerated during the coronavirus disease 2019 (COVID-19) pandemic. However, not all nurses were familiar with the various digital systems used in their organisations and there were reports of digital technology not being fit for purpose. This article describes a service evaluation that used an online survey to obtain nurses' feedback on the digital systems used to support patient care during the pandemic. Fifty-five respondents provided details about 85 separate digital systems. The usability of these systems varied significantly across technology types, while barriers to their use included nurses' lack of digital literacy and inadequate access to IT infrastructure. However, most of the nurse respondents felt that digital technology had supported effective patient care during the COVID-19 pandemic.

Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies.

OBJECTIVE: Computerised clinical decision support systems (CDSS) are an increasingly important part of nurse and allied health professional (AHP) roles in delivering healthcare. The impact of these technologies on these health professionals' performance and patient outcomes has not been systematically reviewed. We aimed to conduct a systematic review to investigate this. MATERIALS AND METHODS: The following bibliographic databases and grey literature sources were searched by an experienced Information Professional for published and unpublished research from inception to February 2021 without language restrictions: MEDLINE (Ovid), Embase Classic+Embase (Ovid), PsycINFO (Ovid), HMIC (Ovid), AMED (Allied and Complementary Medicine) (Ovid), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (Wiley), Cochrane Database of Systematic Reviews (Wiley), Social Sciences Citation Index Expanded (Clarivate), ProQuest Dissertations & Theses Abstracts & Index, ProQuest ASSIA (Applied Social Science Index and Abstract), Clinical Trials.gov, WHO International Clinical Trials Registry (ICTRP), Health Services Research Projects in Progress (HSRProj), OpenClinical(www.OpenClinical.org), OpenGrey (www.opengrey.eu), Health.IT.gov, Agency for Healthcare Research and Quality (www.ahrq.gov). Any comparative research studies comparing CDSS with usual care were eligible for inclusion. RESULTS: A total of 36 106 non-duplicate records were identified. Of 35 included studies: 28 were randomised trials, three controlled-before-and-after studies, three interrupted-time-series and one non-randomised trial. There were ~1318 health professionals and ~67 595 patient participants in the studies. Most studies focused on nurse decision-makers (71%) or paramedics (5.7%). CDSS as a standalone Personal Computer/LAPTOP-technology was a feature of 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile/handheld-technology. DISCUSSION: CDSS impacted 38% of the outcome measures used positively. Care processes were better in 47% of the measures adopted; examples included, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling and documenting care. Patient care outcomes in 40.7% of indicators were better; examples included, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity and triaging appropriateness. CONCLUSION: CDSS may have a positive impact on selected aspects of nurses' and AHPs' performance and care outcomes. However, comparative research is generally low quality, with a wide range of heterogeneous outcomes. After more than 13 years of synthesised research into CDSS in healthcare professions other than medicine, the need for better quality evaluative research remains as pressing.

The Lived Experience of Inequalities in the Provision of Treatment for Hepatitis C.

The issues of health, illness, stigma and inequalities in healthcare provision, areas that in my role as a social researcher were already of interest and concern, shifted to a different perspective when I was diagnosed with hepatitis C. From this altered position, my body and lifeworld were a nexus point for a range of ongoing challenges around staying as well as possible, and the struggle to get my healthcare needs met. There is a gap between the support provided for some ill and disabled people, and the help that they actually require. This is particularly so for conditions that are not well understood, that have a low public profile, limited funding, and/or are in some way stigmatised due to perceived differences to social norms. Hepatitis C is one such condition, it is a viral disease that is transmitted through blood-to-blood contact and it causes ongoing damage to the liver. Because of the systemic nature of the disease, individuals may struggle to cope with the demands of work and daily living, and their lifeworld and opportunities are frequently limited. It can be challenging for the patient to advocate for themselves due to low energy levels, self-blame for getting ill, and the stigma associated with the condition. The first generation of effective anti-viral drugs emerged from clinical trials in 2013, but in the United Kingdom context, access was only possible for those with advanced liver disease. Therefore, many patients felt compelled to purchase the anti-virals through Buyers Clubs, whereby generic versions of the drugs are imported for personal use at a fraction of the market cost. In this article I draw on my own lived experience of joining a Buyers Club as an example of how risks and benefits are weighed, and to explain the contexts in which decisions are shaped and made.