Implementation of National HIV Screening Recommendations in the Indian Health Service

Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review

OBJECTIVES

To review current studies about designing and implementing clinician-facing clinical decision support (CDS) integrated or interoperable with an electronic health record (EHR) to improve health care for populations facing disparities.

METHODS

We searched PubMed to identify studies published between January 1, 2011 and October 22, 2021 about clinician-facing CDS integrated or interoperable with an EHR. We screened abstracts and titles and extracted study data from articles using a protocol developed by team consensus. Extracted data included patient population characteristics, clinical specialty, setting, EHR, clinical problem, CDS type, reported user-centered design, implementation strategies, and outcomes.

RESULTS

There were 28 studies (36 articles) included. Most studies were performed at safety net institutions (14 studies) or Indian Health Service sites (6 studies). CDS tools were implemented in primary care outpatient settings in 24 studies (86%) for screening or treatment. CDS included point-of-care alerts (93%), order facilitators (46%), workflow support (39%), relevant information display (36%), expert systems (11%), and medication dosing support (7%). Successful outcomes were reported in 19 of 26 studies that reported outcomes (73%). User-centered design was reported during CDS planning (39%), development (32%), and implementation phase (25%). Most frequent implementation strategies were education (89%) and consensus facilitation (50%).

CONCLUSIONS

CDS tools may improve health equity and outcomes for patients who face disparities. The present review underscores the need for high-quality analyses of CDS-associated health outcomes, reporting of user-centered design and implementation strategies used in low-resource settings, and methods to disseminate CDS created to improve health equity.

Creating a path forward: understanding the context of sexual health and sexually transmitted infections in American Indian/Alaska Native populations – a review

This review assessed sexual health and sexually transmitted infection (STI) burden among American Indian/Alaska Native (AI/AN) peoples within the context of current clinical and public health services. We conducted a review of published literature about sexual health and bacterial STIs among AI/AN populations in the United States using Medline (OVID), CINAHL (EbscoHost) and Scopus. Peer-reviewed journals published during 1 January 2005-2 December 2021 were included and supplemented by other publicly available literature. A total of 138 articles from reference lists met inclusion criteria, including 85 peer-review articles and 53 additional references. Results indicate a disproportionate burden of STIs is carried by AI/AN populations compared to non-Hispanic Whites. Risk for STIs in AI/AN people has origins in historical trauma and structural and social determinants of health. STI services are available for AI/AN populations, but many barriers to care exist. Community-based sexual health programming has been successful, but has thus far focused primarily on adolescents and young adults. A myriad of factors contributes to high rates of STIs among AI/AN populations. Longstanding disparities show a clear need to increase the availability of integrated, low-barrier STI prevention and treatment services. Implementation of multi-level (individual, physician, clinic, healthcare organisation, and/or community level), culturally relevant sexual health and STI interventions should be community-based and person-centred, acknowledge social determinants of health, and grounded in deep respect and understanding of AI/AN histories and cultures.

Electronic medical record alert increases HIV screening rates: the Foch hospital pilot POP-up project

Background

Despite significant national human immunodeficiency virus (HIV) screening activity, there are persistent delays in screening, and many missed diagnostic opportunities. To facilitate targeted screening, an electronic medical record (EMR) alert reminder was applied in the Foch hospital. Screening rates after implementation were reported.

Methods

A prospective cohort analysis was performed in Foch Hospital between 24 April 2018 and 4 October 2019 among hospitalized patients born in high HIV prevalence countries and/or having social vulnerability criteria (universal health coverage). From the admissions software, when specific low health coverage was provided and/or high-prevalence country of birth was registered, an electronic alert (EMR alert) appeared on the ward where the patient was hospitalized. The EMR alert database was examined for HIV screening and activity responses from each service of the Hospital.

Results

Eight thousand one hundred eighty-one alerts were recovered during the period for 1448 patients. 27 services used the EMR alert. Most of the alerts were directly closed (74.4%), 14.5% of the alerts were closed due to doctors declaring that they did not have time to respond. 297 (3.6%) of the 8181 alerts resulted in a prescription of HIV serology corresponding for 20.5% of the patients.

Conclusion

EMR alert can help to increase the rate of HIV screening in hospital care practice. Through this EMR alert system, HIV screening can be implemented as a common practice like any other medical alternative. Future research should examine the factors influencing physicians’ attitudes to this alert system to improve the HIV screening rate.

Assessing New Diagnoses of HIV Among American Indian/Alaska Natives Served by the Indian Health Service, 2005-2014

OBJECTIVES

The objectives of this study were to use Indian Health Service (IHS) data from electronic health records to analyze human immunodeficiency virus (HIV) diagnoses among American Indian/Alaska Natives (AI/ANs) and to identify current rates and trends that can support data-driven policy implementation and resource allocation for this population.

METHODS

We analyzed provider visit data from IHS to capture all AI/AN patients who met a definition of a new HIV diagnosis from 2005 through 2014 by using International Classification of Diseases, Ninth Revision, Clinical Modification codes. We calculated rates and trends of new HIV diagnoses by age, sex, region, and year per 100 000 AI/ANs in the IHS user population.

RESULTS

A total of 2273 AI/ANs met the definition of newly diagnosed with HIV from 2005 through 2014, an average annual rate of 15.1 per 100 000 AI/ANs. Most (356/391) IHS health facilities recorded at least 1 new HIV diagnosis. The rate of new HIV diagnoses among males (21.3 per 100 000 AI/ANs) was twice as high as that among females (9.5 per 100 000 AI/ANs; rate ratio = 2.2; 95% confidence interval, 2.1-2.4); by age, rates were highest among those aged 20-54 for males and females. By region, the Southwest region had the highest number (n = 1016) and rate (19.9 per 100 000 AI/ANs) of new HIV diagnoses. Overall annual rates of new HIV diagnoses were stable from 2010 through 2014, although diagnosis rates increased among males ( P < .001) and those aged 15-19 ( P < .001), 45-59 ( P < .001), and 50-54 ( P = .01).

CONCLUSIONS

New HIV diagnoses, derived from provider visit data, among AI/ANs were stable from 2010 through 2014. AI/ANs aged 20-54, particularly men, may benefit from increased HIV prevention and screening efforts. Additional services may benefit patients in regions with higher rates of new diagnoses and in remote settings in which reported HIV numbers are low.

Use of an electronic medical record reminder improves HIV screening

Background

More than 1 in 7 patients with human immunodeficiency virus (HIV) infection in the United States are unaware of their serostatus despite recommendations of US agencies that all adults through age 65 be screened for HIV at least once. To facilitate universal screening, an electronic medical record (EMR) reminder was created for our primary care practice. Screening rates before and after implementation were assessed to determine the impact of the reminder on screening rates.

Methods

A retrospective cohort analysis was performed for patients age 18–65 with visits between January 1, 2012-October 30, 2014. EMR databases were examined for HIV testing and selected patient characteristics. We evaluated the probability of HIV screening in unscreened patients before and after the reminder and used a multivariable generalized linear model to test the association between likelihood of HIV testing and specific patient characteristics.

Results

Prior to the reminder, the probability of receiving an HIV test for previously unscreened patients was 15.3%. This increased to 30.7% after the reminder (RR 2.02, CI 1.95–2.09, p < 0.0001). The impact was most significant in patients age 45–65. White race, English as primary language, and higher median household income were associated with lower likelihoods of screening both before and after implementation (RR 0.68, CI 0.65–0.72; RR 0.74, CI 0.67–0.82; RR 0.84, CI 0.80–0.88, respectively).

Conclusions

The EMR reminder increased rates of HIV screening twofold in our practice. It was most effective in increasing screening rates in older patients. Patients who were white, English-speaking, and had higher incomes were less likely to be screened for HIV both before and after the reminder.

A comprehensive theoretical framework for the implementation and evaluation of opt-out HIV testing

Opt-out HIV testing (in which patients are offered HIV testing as a default) is a potentially powerful strategy for increasing the number of people who know their HIV status and thus limiting viral transmission. Like any change in clinical practice, implementation of opt-out HIV testing in a health service requires a change management strategy, which should have theoretical support. This paper considers the application of three theories to the implementation and evaluation of an opt-out HIV testing programme: Behavioural Economics, the Health Belief Model and Normalisation Process Theory. An awareness, understanding and integration of these theories may motivate health care providers to order HIV tests that they may not routinely order, influence their beliefs about who should be tested for HIV and inform the operational aspects of opt-out HIV testing. Ongoing process evaluation of opt-out HIV testing programmes (based on these theories) will help to achieve individual health care provider self-efficacy and group collective action, thereby improving testing rates and health outcomes.