Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation


IntroductionBackground

Aboriginal and Torres Strait Islander people in Australia can access sexually transmitted infection (STI) testing at primary health care services, including Aboriginal Community Controlled Health Services (ACCHSs) and mainstream general practice or government sexual health services []. The first ACCHS was established in 1971; now, there are >150 ACCHSs nationwide []. As in other countries with a history of colonization similar to that of Australia, culturally competent primary health care services run by and for Aboriginal communities play a vital role in ensuring equitable and culturally safe access to sexual and reproductive health care [-]. Reflecting this, previous research has identified that ACCHSs are more likely to provide health care that is free of racism than mainstream services []. ACCHSs are well situated to embed screening for STIs into routine clinical practice to more regularly identify asymptomatic infections [].

In Australia, the highest rates of notified STIs (chlamydia, gonorrhea, and syphilis) are among young people aged 15 to 29 years, higher in young Aboriginal and Torres Strait Islander people than in young non-Indigenous people, and the highest in remote areas []. Chlamydia trachomatis (CT) is the most commonly reported STI among young Aboriginal people, followed by Neisseria gonorrhea (NG) and Treponema pallidum (syphilis) []. CT and NG are easily cured with antibiotics but can be asymptomatic and lead to complications if not treated, such as pelvic inflammatory disease, ectopic pregnancy, and infertility [-]. Syphilis is of major concern in Australia, with an expanding epidemic over the last decade beginning in northern Australia and extending to southern Australia, including New South Wales (NSW) and Victoria. Nationally, the notification rate (defined as the rate of notifiable diagnoses per 100,000 person years) is 6 times higher for Aboriginal and Torres Strait Islander people and up to 50 times higher in very remote areas of northern Australia []. If left untreated, syphilis can have particularly serious consequences, including miscarriage, stillbirth, and fetal abnormalities []. Modeling suggests that the STI prevalence in remote Aboriginal and Torres Strait Islander communities could be considerably reduced if screening was increased to 60% coverage and sustained for 10 years [], and increasing STI screening rates for young Aboriginal people is a priority target in state and national public health strategies [,].

Most ACCHS patients present for reasons other than seeking an STI test; therefore, the mechanisms proposed to increase STI testing in this cohort include integration into other routine primary care visits, such as the Medicare Benefits Schedule item 715 annual health assessment (hereinafter referred to as health assessment) []. This is a structured preventive health assessment that can be provided annually to Aboriginal and Torres Strait Islander people in primary care settings, including ACCHSs. Australia’s universal health insurance system, Medicare, provides a rebate per individual health assessment, and additional practice-level incentives are attached for eligible practices managing patients with chronic disease []. The National guide to a preventive health assessment for Aboriginal and Torres Strait Islander people [] recommends the inclusion of STI screening for sexually active young people, along with an assessment of lifestyle factors; social and emotional well-being; vaccination status; and blood lipids, renal function, and blood glucose levels. Approximately one-quarter of young Aboriginal and Torres Strait Islander people participate in a health assessment each year []. This is a national figure, and local uptake is highly variable among regions and services []. The uptake of health assessments more than tripled in the decade preceding the COVID-19 pandemic, which resulted in a slight decrease of 2% over 2 years []. The pandemic also resulted in many health services temporarily deprioritizing the routine STI screening of asymptomatic patients in a context of significant disruption to clinical services [].

Health assessments involve completing an electronic template in the patient electronic medical record (EMR), which can be customized at the practice level or by the software vendor []. The potential of EMR customization to improve the completeness and consistency of health assessments has been anticipated since ACCHSs first began to implement computerized health assessment templates >10 years ago []. Electronic prompts have been found to be more effective at increasing STI test requests made by clinicians in other settings than nonelectronic reminders, such as reminder stickers on paper medical records or pathology result forms []. The implementation of electronic prompts and automated pathology sets in both the mainstream general practice setting and at government-funded sexual health clinics has been found to increase comprehensive STI testing in line with clinical guidelines and the resulting detection of STIs for patients considered to be at higher risk, such as gay and bisexual men [-]. To our knowledge, the use of electronic prompts or automated pathology sets to increase STI testing in the context of a health assessment at ACCHSs has not been evaluated.

The implementation and integration of complex health care interventions into routine clinical practice relies on action and interaction by and among individuals—the “work” of normalizing and embedding change []. In this paper, normalization is defined as per May et al [] as the work of actors when engaging with new or changed activities by which the new activities become routinely embedded into existing knowledge and practices. Through this lens, implementation is characterized as an inherently social process involving collective action from human actors within dynamic contexts []. This provides a framework to analyze the factors that encourage or inhibit the incorporation of health care interventions into routine clinical practice [].

Objectives

This mixed methods evaluation examined whether the systems change implemented at an NSW ACCHS increased the integration of STI testing into health assessments in young people, with a particular focus on concurrent syphilis testing, and explored the understandings of the acceptability and normalization of the systems change among ACCHS staff.


MethodsSetting

This study was conducted in partnership with a western NSW ACCHS caring for a large Aboriginal population [] of between 8.4% in the main town center and 61.2% in smaller satellite towns (compared with 2.9% for NSW as a whole) [,]. This ACCHS provides 53,000 occasions of service to an average of 3500 patients per year, 80% of whom are Aboriginal patients. This figure accounts for all separate interactions with patients and includes face-to-face visits and telephone calls, both clinical and administrative. As the Torres Strait Islander population is low, we will hereinafter respectfully use the term Aboriginal when referring to this setting. Although NSW is home to the largest Aboriginal population in Australia, there is little quantitative sexual health research conducted with Aboriginal populations in NSW [], although some qualitative studies have been published in recent years [,].

The Systems Change

We collaboratively developed a multifaceted systems change with ACCHS staff in March 2019. ACCHS clinical, managerial, and administrative staff who had been identified as potential sexual health champions cocreated the systems change at a workshop facilitated by 2 members of the research team (HM and CB). The workshop aimed to identify strategies to improve syphilis testing rates and STI testing rates more broadly among the patient population within the existing range of services, activities, and staff skills available. A core component was the addition to the EMR of an electronic prompt and an automated pathology set. The prompt was attached to the health assessment template completed by general practitioners (GPs) and triggered for all patients in the target age range, advising the GP to query sexual activity since the patient’s last test because guidelines recommend STI screening after a change in partner or otherwise annually []. An affirmative indication updated the health assessment template in the EMR and autopopulated a pathology request for a comprehensive STI test (chlamydia, gonorrhea, and syphilis). The automated pathology set replaced the manual completion of pathology requests for individual STI tests with a single-click button that autopopulated a pathology request for a comprehensive STI test. The prompt aimed to increase the integration of STI tests into the health assessment, and the automated pathology test set aimed to increase the inclusion of syphilis tests when STI tests were requested, both within and outside of the health assessment.

Three other operational components completed the package: credentialing registered nurses (RNs) and Aboriginal health practitioners (AHPs) to undertake STI screening, pathology request forms presigned by a GP to authorize tests conducted by RNs and AHPs [], and the enhanced internal reporting of STI screening targets to staff via standing agenda items at staff meetings for detailed data reports. Credentialing RNs and AHPs aimed to create opportunities for STI testing in clinical encounters that did not involve a GP, whereas having pathology forms presigned by a GP allowed these tests to receive Medicare funding under the signing GP’s provider number. Enhanced data reporting has been shown to be an important component of continuous quality improvement (CQI) systems implemented at ACCHSs [,]. These 3 components aimed to increase STI testing outside of the health assessment.

Strengths-Based Approach

Our evaluation explicitly adopted a strengths-based approach. This project centers the strengths, assets, and capabilities of ACCHSs and ACCHS staff [], rather than deficit-focused epidemiological framing that can act as a barrier to improving health outcomes []. As such, both the qualitative and quantitative analyses focused on factors associated with positive health outcomes for Aboriginal people rather than measuring ill health against a non-Indigenous baseline [], and the integration of findings in the discussion foregrounded the strengths and enablers of success rather than barriers and deficiencies.

Mixed Methods Approach

Our mixed methods evaluation used an explanatory sequential design as defined by Creswell and Clark [], with quantitative data collected first and then used to inform qualitative data collection and analysis. This design supported the use of in-depth qualitative analysis to more closely examine potential explanations for the quantitative findings, which provides greater insight into the performance of the systems change than quantitative analysis alone []. The interview guide for the qualitative component was informed by preliminary findings from the quantitative component, with the qualitative interviews then exploring how staff understood the implementation and outcomes of the systems change. Our qualitative analysis allowed the researchers to explore how and why the components of the systems change had or had not been successfully normalized into staff experiences of routine practice, building on our quantitative analysis to provide a more whole and complex picture of the success of the systems change. The quantitative and qualitative findings have been narratively integrated and explored together in the Discussion section.

Quantitative Methods

Our analysis was based on an annually deduplicated data set of unique Aboriginal patients aged 15 to 29 years who attended the NSW ACCHS in the 24 months before implementation and in the 12 months after implementation (April 2017-March 2020). Using the exact probabilities of the binominal distribution, we determined that a sample size of ≥2000 patients would be sufficient to detect a difference of 5% to 7% in the proportion of those who had an STI test between the intervention and control periods, assuming that STI testing coverage was 10% to 20%, with 80% power.

The primary outcome for the quantitative component of this study was the proportion of health assessments that included a test for any STI (chlamydia, gonorrhea, or syphilis). The secondary outcomes were the proportion of health assessments that included all 3 STI tests, the proportion of health assessments inclusive of a chlamydia and gonorrhea test that also included a syphilis test (concurrent testing), the proportion of the total study population that received a test for any STI (chlamydia, gonorrhea, or syphilis), and the proportion of the total study population that received a health assessment. The control outcome was the proportion of health assessments that included a random blood glucose level test, a recommended inclusion in the health assessment unaffected by the systems change.

Under strict confidentiality and privacy protocols, deidentified routinely collected clinical data for all young Aboriginal people aged 15 to 29 years who attended the ACCHS in the study period (April 2017-March 2020) were extracted from the EMR using software called GRHANITE (Generic Health Network Information Technology for the Enterprise) [] via the enrolment of the service in the ATLAS sentinel surveillance network, which has been described elsewhere []. We estimated the average number of clinical interactions per person and their 95% CIs using Poisson regression. Demographic variables included age, sex, and Aboriginal status. Testing variables collected via ATLAS included the test performed (chlamydia, gonorrhea, or syphilis) and the date the test was conducted. A further testing variable (random blood glucose level test) was collected manually by the in-house ACCHS statistician because it was outside the scope of ATLAS. ATLAS data collected via natural language processing and keyword search was validated with the help of ACCHS clinical staff. The ATLAS keywords are shown in . As tests were conducted at the time of consultation at an in-house pathology service, the date of the test request is not reported separately. Attendance and visit variables included the date of consultation and Medicare Benefits Schedule item for health assessment.

Annual changes in each outcome were examined by age group and sex. An interrupted time series (ITS) regression model (also known as segmented regression) was used to estimate the changes in the proportion of any STI test conducted among those who had a health assessment over time. Regression coefficients with 95% CIs were presented for comparing the before and after periods. An ITS is a technique used for evaluating what are sometimes referred to as natural experiments by estimating the consequence of specific changes in a real-world setting and adjusting for individual- and community-level factors via multilevel regression models to account for covariates []. The ITS analysis was then stratified by sex for the primary outcome and the control outcome.

Figure 1. Health assessment and sexually transmitted infection test request data extract coding. Qualitative Methods

The staff of the NSW ACCHS were the population for the qualitative component of this study. Stratified purposeful sampling [] was used to recruit staff, who were informed of the project at an in-service information program delivered by members of the research team (HM and CB) and then invited to participate via email, with key staff members also contacted by telephone. Recruitment remained open until the sample contained representation from each of the 3 inclusion categories of clinical staff (GPs, RNs, and AHPs). Because of the impacts of the COVID-19 pandemic, interviews were not completed until the year after the implementation of the systems change. Each participant completed a semistructured interview lasting approximately 1 hour that followed an interview guide informed by normalization process theory (NPT) [,,]. Previous sexual health research has drawn on NPT to examine provider-initiated HIV testing and counseling in South Africa [] and annual STI screening in remote ACCHSs in the Northern Territory, Australia [,]. As well as open-ended questions on topics such as how the systems change affected work practices, the factors that made the components of the systems change easier or more difficult to implement, perceived impacts on the service, and suggestions for future modifications, the interviews included questions informed by the quantitative findings. Participants were asked whether they thought that STI testing rates had increased after the systems change, then presented with preliminary quantitative data and asked for their opinions on how the components of the systems change had contributed to these findings.

The interviews were transcribed and analyzed thematically by the first author (HM) as per Braun and Clarke [] and later works [,] using NVivo software (Lumivero). HM is an Aboriginal woman from NSW with expertise in sexual health. She was supported throughout the analysis by CN, a non-Indigenous researcher with substantial experience in qualitative approaches to sexual health research. Codes were informed by NPT [,], focusing on the 4 main constructs of coherence, cognitive participation, collective action, and reflexive monitoring. Component definitions within each construct were informed by the study conducted by Hengel et al [], which used NPT to assess the integration into routine practice of an ACCHS CQI program. (adapted from Hengel et al [] and Murray et al []) outlines NPT constructs and components.

Textbox 1. Normalization process theory constructs and components.

Construct, component, and definition of component

CoherenceDifferentiation: perceived difference from existing practiceCommunal specification: shared understanding of the aims of the systems changeIndividual specification: individual understanding of the aims of the systems changeInternalization: perceived importance and value of the systems changeCognitive participationInitiation: willingness to drive the systems change forwardEnrolment: collaborative work to make the systems change succeedLegitimation: perceptions of the worthiness of time and effortActivation: likelihood of participants sustaining the changes to work practiceCollective actionInteractional workability: effect of the systems change on shared workRelational integration: accountability built on knowledgeSkill set workability: appropriateness of the systems change to participant skill setsContextual integration: compatibility with existing policies, practices, and environmental contextReflexive monitoringSystematization: effectiveness of the systems change in daily practiceCommunal appraisal: group evaluation of the systems changeIndividual appraisal: personal relationship with the systems changeReconfiguration: opportunities for participant experience to inform modifications to systems change

HM developed a thematic map and undertook a reread of the raw data to recode any data that were missed in the earlier stages of analysis. Codes, themes, and the analytic framework were discussed by all authors throughout the coding and analysis process to make sense of shared understandings and to interrogate assumptions and interpretations.

Ethical Considerations

The evaluation was overseen by a research governance committee with representation from the medical staff, nursing staff, public health staff, and primary health care management staff of the ACCHS. An ACCHS staff member also contributed to the research team. This study received ethics approval through the ethics committee of the Aboriginal Health & Medical Research Council of NSW (HREC 1700/20). Participants were informed both at the in-service program and before each interview that their participation was voluntary and provided with a participation information sheet and consent form, the contents of which were read aloud at the commencement of the interview. Informed voluntary consent was obtained before the collection of any personal information. The research team includes 2 researchers with an existing relationship with the health service with no authoritative influence over prospective interview participants.


ResultsQuantitative Results

During the study period (April 2017-March 2020), a total of 54,299 patient interactions were recorded in the EMR; after excluding interactions recorded with non-Indigenous patients (n=6317, 11.63%) and deduplication, 2461 (4.53%) unique Aboriginal patients who attended the ACCHS for a clinical interaction at least once, with an average of 19 interactions (SE 0.09; 95% CI 19.32-19.68) recorded in the EMR per patient, were included in the analysis. The recorded interactions per patient may have occurred at a single visit or across multiple visits. Among these 2461 unique Aboriginal patients, 644 (26.17%) had at least 1 episode of a health assessment annually recorded as a clinical interaction in the EMR. Of the 2461 unique Aboriginal patients, 45.43% (n=1118) were men, and 54.57% (n=1343) were women, with a median age of 22 (IQR 18-26) years. The study population is shown in .

Overall, 27.2% (175/644) of the health assessments included any STI test, 23.6% (152/644) included a CT/NG test, and 18.5% (119/644) included a syphilis test. Combined CT/NG and syphilis testing occurred in 14.9% (96/644) of the health assessments.

Compared with the 24 months before implementation, the annual proportion of health assessments that integrated any STI test (CT/NG and syphilis) increased in the postintervention period (year 1: 38/237, 16%; year 2: 43/188, 22.9%; and intervention period: 94/219, 42.9%). Greater increases were observed in those aged 20 to 24 years and 25 to 29 years than in those aged 15 to 19 years. The increase by age group was similar for all study outcomes. The changes in the integration of a CT/NG test into a health assessment were similar for both male individuals and female individuals, although male individuals had a higher baseline value. However, the increase in concurrent syphilis testing with CT/NG testing was more substantial for male individuals than for female individuals. Similar results by patient sex were observed for the integration of any STI test and the integration of both a CT/NG test and a syphilis test ().

Of the health assessments that included a CT/NG test, 63.2% (96/152) overall also included a concurrent syphilis test.

Figure 2. Study population. Table 1. Proportion of health assessments conducted on young Aboriginal people aged 15 to 29 years during the study period that included tests for Chlamydia trachomatis (CT) and Neisseria gonorrhea (NG) or syphilis (n=644).Time period and breakdownAny STIa test included (CT or NG or syphilis; n=175), n (%)CT and NG test included (n=152), n (%)Syphilis test included (n=119), n (%)Combined CT and NG and syphilis testing included (n=96), n (%)April 2017-March 2018 (year 1; n=237)
Breakdown by age group (years)

15-19 (n=86)14 (16.3)12 (14)6 (7)4 (4.7)

20-24 (n=81)13 (16.1)10 (12.4)6 (7.4)3 (3.7)

25-29 (n=70)11 (15.7)10 (14.3)7 (10)6 (8.6)
Breakdown by sex

Male (n=119)23 (19.3)21 (17.7)9 (7.6)7 (5.9)

Female (n=118)15 (12.7)11 (9.3)10 (8.5)6 (5.1)April 2018-March 2019 (year 2; n=188)
Breakdown by age group (years)

15-19 (n=67)13 (19.4)12 (17.9)5 (7.5)4 (6)

20-24 (n=63)17 (27)16 (25.4)12 (19.1)11 (17.5)

25-29 (n=58)13 (22.4)11 (19)9 (15.5)7 (12.1)
Breakdown by sex

Male (n=89)22 (24.7)21 (23.6)14 (15.7)13 (14.6)

Female (n=99)21 (21.2)18 (18.2)12 (12.1)9 (9.1)April 2019-March 2020 (intervention; n=219)
Breakdown by age group (years)

15-19 (n=79)24 (30.4)20 (25.3)18 (22.8)14 (17.7)

20-24 (n=69)34 (49.3)32 (46.4)25 (36.2)23 (33.3)

25-29 (n=71)36 (50.7)29 (40.9)31 (43.7)24 (33.8)
Breakdown by sex

Male (n=113)55 (48.7)49 (43.4)49 (43.4)43 (38.1)

Female (n=106)39 (36.8)32 (30.2)25 (23.6)18 (17)

aSTI: sexually transmitted infection.

The annual proportion of health assessments inclusive of a CT/NG test that also included a syphilis test increased in all age groups, although those aged 25 to 29 years had higher baseline values than those aged 15 to 19 years or 20 to 24 years (). The inclusion of a syphilis test in health assessments with a CT/NG test increased for male individuals to 88% (18/32) but remained relatively stable for female individuals.

The annual proportion of young people who received a health assessment fluctuated slightly, with uptake slightly higher in male individuals than in female individuals and in those aged 15 to 19 years than in older young people throughout the study period. Among unique young Aboriginal people attending the service each year, there was a small increase in the proportion tested for CT/NG (from 195/800, 24.4% to 243/823, 29.5%) and a greater increase in the proportion tested for syphilis (from 103/800, 12.9% to 225/823, 27.3%), with increases greater for male individuals than for female individuals for both as well as the outcome: receiving all STI tests ().

The ITS model shown in shows a significant increase in the quarterly proportion of health assessments completed with young Aboriginal people that included an STI test immediately after implementation (coefficient=0.22; P=.003), greater among male individuals (coefficient=0.28; P=.01) than among female individuals (coefficient=0.15; P=.005; ; and ). There was no trend in the quarterly intervals in the postintervention period for either male or female individuals.

When the ITS analysis was repeated with the final quarter excluded (January-March 2020, the beginning of the COVID-19 pandemic), an increasing trend was observed (P=.006, data not shown).

There was no immediate change in the quarterly proportion of health assessments that included a random blood glucose level test (), overall () and for male individuals () and female individuals (). In the postintervention period, no trend was detected overall (P=.90) or in male individuals (P=.20) and female individuals (P=.20).

Table 2. Proportion of health assessments conducted in young Aboriginal people aged 15 to 29 years inclusive of a Chlamydia trachomatis and Neisseria gonorrhea (CT/NG) test that concurrently included a syphilis test (n=152).Time period and breakdownHealth assessments with a CT and NG test that concurrently also included a syphilis test, n (%)April 2017-March 2018 (year 1; n=32)
Breakdown by age group (years)

15-19 (n=12)4 (33)

20-24 (n=10)3 (30)

25-29 (n=10)6 (60)
Breakdown by sex

Male (n=21)7 (33)

Female (n=11)6 (55)April 2018-March 2019 (year 2; n=39)
Breakdown by agegroup(years)

15-19 (n=12)4 (33)

20-24 (n=16)11 (69)

25-29 (n=11)7 (64)
Breakdown by sex

Male (n=21)13 (62)

Female (n=18)9 (50)April 2019-March 2020 (intervention; n=81)
Breakdown by age group (years)

15-19 (n=20)14 (70)

20-24 (n= 32)23 (72)

25-29 (n=29)24 (83)
Breakdown by sex

Male (n=49)43 (88)

Female (n=32)18 (56)Table 3. Proportion of young Aboriginal people aged 15 to 29 years attending the service during the study period who received a sexually transmitted infection (STI) test (chlamydia, gonorrhea, or syphilis) or a health assessment (n=2461).Time period and breakdownReceived a CTa and NGb test (n=637), n (%)Received a syphilis test (n=470), n (%)Received all STI tests (n=330), n (%)Received a health assessment (n=644), n (%)April 2017-March 2018 (year 1; n=800)
Breakdown by age group (years)

15-19 (n=276)48 (17.4)21 (7.6)14 (5.1)86 (31.2)

20-24 (n=273)74 (27.1)40 (14.7)30 (11)81 (29.7)

25-29 (n=251)73 (29.1)42 (16.7)35 (13.9)70 (27.9)
Breakdown by sex

Male (n=364)65 (17.9)38 (10.4)32 (8.8)119 (32.7)

Female (n=436)130 (29.8)65 (14.9)47 (10.8)118 (27.1)April 2018-March 2019 (year 2; n=838)
Breakdown by age group (years)

15-19 (n=285)515 (17.9)295 (10.2)18 (6.3)67 (23.5)

20-24 (n=280)79 (28.2)60 (21.4)42 (15)63 (22.5)

25-29 (n=273)69 (25.3)53 (19.4)32 (11.7)58 (21.3)
Breakdown by sex

Male (n=384)70 (18.2)43 (11.2)33 (8.6)89 (23.2)

Female (n=454)129 (28.4)99 (21.8)59 (13)99 (21.8)April 2019-March 2020 (intervention; n=823)
Breakdown by age group (years)

15-19 (n=279)59 (21.2)50 (17.9)32 (11.5)79 (28.3)

20-24 (n=280)95 (33.9)83 (29.6)61 (21.8)69 (24.6)

25-29 (n=264)89 (33.7)92 (34.9)66 (25)71 (26.9)
Breakdown by sex

Male (n=370)98 (26.5)94 (25.4)77 (20.8)113 (30.5)

Female (n=453)145 (32)131 (28.9)82 (18.1)106 (23.4)

aCT: Chlamydia trachomatis.

bNG: Neisseria gonorrhea.

Figure 3. Interrupted time series analysis of health assessments inclusive of any sexually transmitted infection (STI) test (chlamydia, gonorrhea or syphilis): overall study population. Regression with Newey-West SEs: lag(1). Table 4. Estimates from the interrupted time series analysis for the proportion of health assessments inclusive of any sexually transmitted infection test (chlamydia, gonorrhea, or syphilis).
OverallMaleFemale
Coefficient (95% CI)P valueCoefficient (95% CI)P valueCoefficient (95% CI)P valueBefore the intervention period of March 20190.004 (−0.02 to 0.03).70−0.003 (−0.04 to 0.03).080.01 (−0.008 to 0.030).18Immediate effect of the intervention period of March 20190.22 (0.10 to 0.34).0030.28 (0.08 to 0.50).010.15 (0.06 to 0.24).005Overall effect of the intervention period of March 20190.01 (−0.02 to 0.04).400.01 (−0.02 to 0.04).400.01 (−0.04 to 0.06).67Figure 4. Interrupted time series analysis of health assessments inclusive of any sexually transmitted infection (STI) test (chlamydia, gonorrhea or syphilis): male. Regression with Newey-West SEs: lag(1). Figure 5. Interrupted time series analysis of health assessments inclusive of any sexually transmitted infection (STI) test (chlamydia, gonorrhea or syphilis): female. Regression with Newey-West SEs: lag(1). Table 5. Estimates from the interrupted time series for the proportion of health assessments that included a random blood glucose level test.
OverallMaleFemale
Coefficient (95% CI)P valueCoefficient (95% CI)P valueCoefficient (95% CI)P valueBefore the intervention period of March 20190.01 (−0.003 to 0.030).100.02 (−0.004 to 0.050).090.002 (−0.03 to 0.03).90Immediate effect of the intervention period of March 2019−0.02 (−0.11 to 0.07).55−0.09 (−0.31 to 0.14).400.01 (−0.18 to 0.20).90Overall effect of the intervention period of March 2019−0.002 (−0.03 to 0.03).900.05 (−0.03 to 0.12).22−0.03 (−0.09 to 0.02).20Figure 6. Interrupted time series analysis of health assessments inclusive of a random blood glucose level test: overall study population. Regression with Newey-West SEs: lag(1). Figure 7. Interrupted time series analysis of health assessments inclusive of a random blood glucose level test: male. Regression with Newey-West SEs: lag(1). Figure 8. Interrupted time series analysis of health assessments inclusive of a random blood glucose level test: female. Regression with Newey-West SEs: lag(1). Qualitative ResultsOverview

A total of 6 ACCHS staff members participated in an interview: managers (n=2, 33%), GPs (n=2, 33%), an RN (n=1, 17%), and an AHP (n=1, 17%), representing a little more than half of the staff members who had maintained continuous employment from before the implementation until after the end of the postintervention period. The qualitative interviews explored potential explanations for the quantitative findings through seeking to understand how ACCHS staff had experienced and perceived the implementation of the systems change and its impact both on the STI testing rates examined in the quantitative analysis and on everyday work practice. This allowed the research team to tease out which components of the systems change had or had not been successfully normalized, what factors had contributed to normalization, and how the successful or unsuccessful normalization of different components of the systems change explained key findings from the quantitative analysis. The coding framework consists of 4 NPT constructs: coherence (how participants make sense of the change), cognitive participation (engagement by participants), collective action (the participants’ work that has contributed to the intervention functioning), and reflexive monitoring (participant assessment of benefits and costs). captures the key insights from the qualitative data of relevance to each of the 4 NPT constructs.

Figure 9. Thematic map of qualitative analysis informed by normalization process theory. AHP: Aboriginal health practitioner; GP: general practitioner; RN: registered nurse. Coherence

Managers and GPs displayed enthusiasm about the electronic prompts and automated pathology sets, but the RN and the AHP, whose roles did not require them to use the prompts and test sets, demonstrated low awareness. Communication to frontline staff about the systems change seemed to have been inadequate to instill a shared understanding of its importance and value. However, participants who demonstrated a high awareness of the systems change identified that the systematized incorporation of age-based STI testing into the health assessment had had a broader impact on organizational norms around sexual health in routine practice, with several participants identifying this as a potential explanation for the observed increase in STI testing:

Previously it was an individual clinician who may or may not have decided this patient should be tested. Like there was no organizational-wide policy or...expectation that clinicians would be doing that.... Our [health assessments] were changed to include the sexual health testing for people in the targeted age range. So that lifted sexual health screening from sort of some nebulous thing that people may or may not do...to something that was very much at the forefront and was discussed at clinical meetings. It really gained a life of its own which it had never had previously.
[Participant 1, manager]

Participants expressed appreciation for RNs and AHPs, but the RN and AHP participants felt that non-GP clinical roles were not leveraged to their full potential and that this had limited the successful implementation of the systems change. All participants recognized the importance of the “soft” skill sets of RNs and AHPs in patient engagement. Adding to this with enhanced clinical autonomy and a nurse-led model of care via credentialing RNs and AHPs to complete STI screens independently was broadly supported by staff at all levels. Participants considered the nurse credentialing component of the package and the presigned pathology forms component to be strongly interlinked. However, whereas participants reported strong support for the credentialing component, the pathology forms met resistance among the GP workforce, although the RN participant was supportive of the component:

One thing I encounter when I was working here is things like, just ordering pathology form, like STI check, for example, if they can allow the nurses to do that, you know. Because sometimes people just come in.... They are asymptomatic.... But they don’t want to see the doctor...if I’m given the autonomy to practice, I could just give the, print out a pathology form and order it.... If the nurses are allowed to do, to order things like that, STI check, then it may improve the STI screening.
[Participant 6, RN]

The underuse of the non-GP personnel was also apparent in participant discussions of data reporting. An increased transparency of data was perceived positively, and several participants described an increased awareness of trends in practice data as motivating for the workforce. However, GPs and managers again had much greater awareness of the changes that had been made than the RN and AHP participants, although the RN and AHP participants felt that strengthening communication with frontline staff would increase whole-of-service commitment to improving outcomes. Participants did not identify any linkages between the improvements made to data analysis capacity and the quantitative findings.

Cognitive Participation

All participants perceived leads and champions as vital to moving the systems change forward, which was most evident in relation to the electronic prompts and automated pathology sets. Strong leadership encouraged early adoption among the GP workforce, but the departure of people in key lead or champion roles led to this action being deprioritized among some newer GPs. It was sustained consistently among GPs who had been present before the development of the package, but only implemented ad hoc for newer GPs after the departure of a key GP champion partway through the study period. Participants perceived staff turnover as a barrier to normalizing this component and felt that the positive impact seen on STI testing rates within the health assessment was the result of the commitment of longer-term staff to this component of the systems change.

Participants were unclear who held responsibility for the credentialing of RNs and AHPs. Some RNs completed training, but this lack of clarity impeded the necessary systemic change to routine practice. The presigned pathology forms were successfully sustained in the prenatal setting owing to a strong GP champion, and there was interest from RNs service-wide, but outside of the prenatal setting, no individual GP had self-nominated as the signatory. The lack of GP commitment to this component also prevented the implementation of the credentialing component because RNs who had completed credentialing could not order tests without presigned forms. As the aim of these components was to enable RN- and AHP-led testing outside of GP consultations, this explains the lower increase in STI testing outside of the health assessment:

I think a GP champion and I’m gonna say the sexual health physician that should be full time in that sexual health area.... Apart from the fact we have an inexperienced, untrained person in the job, there’s just not enough time left over to give it, to actually do all that; you know, that working one-on-one with people and following up, and talking to the GPs, and...yeah. So that’s what I’d say. A GP champion and a full-time sexual health RN or health worker.
[Participant 1, manager]

However, participants did not always expect champions to be senior clinicians or managers. The standardization of the health assessment was perceived to provide systemic support for AHPs to champion the inclusion of routine STI testing to GPs who may otherwise use their discretion to not include it, which further supports the systems change as the driver of increased testing within the health assessment. Participants expressed that this normalization of practice had partially addressed the concern regarding some newer or locum GPs not having implemented the EMR modifications:

If we’ve got good-quality, well-trained health workers, I think that’s a really big plus and a really good way for it to go forward, ’cause it doesn’t depend on the GP who might be a locum for 2 weeks: it depends on that health worker going, “Part of our [health assessment] is that we always do this comprehensive STI screen.”
[Participant 4, GP]

Although participants supported improvements in data reporting in principle, they almost universally perceived it as something that they were recipients of, rather than participants in. The interviews depicted an understanding of data reporting as a contribution to the service made by an unidentified other that would then inform participants’ work, rather than a reflection of the outcomes of their work that could meaningfully contribute to quality improvement. This perhaps explains why participants did not perceive a strong relationship between this component and the quantitative findings.

Collective Action

Considerable staff turnover and limited follow-up from the project team owing to travel restrictions imposed at the onset of the COVID-19 pandemic reduced knowle

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