Literature DB >> 34815274

Frequencies and patterns of microbiology test requests from primary care in Oxfordshire, UK, 2008-2018: a retrospective cohort study of electronic health records to inform point-of-care testing.

J M Ordóñez-Mena1,2, Thomas R Fanshawe3, Dona Foster4, Monique Andersson5, Sarah Oakley5, Nicole Stoesser2,4,5, A Sarah Walker2, Gail Hayward3.   

Abstract

OBJECTIVES: To inform point-of-care test (POCT) development, we quantified the primary care demand for laboratory microbiology tests by describing their frequencies overall, frequencies of positives, most common organisms identified, temporal trends in testing and patterns of cotesting on the same and subsequent dates.
DESIGN: Retrospective cohort study.
SETTING: Primary care practices in Oxfordshire. PARTICIPANTS: 393 905 patients (65% female; 49% aged 18-49). PRIMARY AND SECONDARY OUTCOME MEASURES: The frequencies of all microbiology tests requested between 2008 and 2018 were quantified. Patterns of cotesting were investigated with heat maps. All analyses were done overall, by sex and age categories.
RESULTS: 1 596 752 microbiology tests were requested. Urine culture±microscopy was the most common of all tests (n=673 612, 42%), was mainly requested without other tests and was the most common test requested in follow-up within 7 and 14 days. Of all urine cultures, 180 047 (27%) were positive and 172 651 (26%) showed mixed growth, and Escherichia coli was the most prevalent organism (132 277, 73% of positive urine cultures). Antenatal urine cultures and blood tests in pregnancy (hepatitis B, HIV and syphilis) formed a common test combination, consistent with their use in antenatal screening.
CONCLUSIONS: The greatest burden of microbiology testing in primary care is attributable to urine culture ± microscopy; genital and routine antenatal urine and blood testing are also significant contributors. Further research should focus on the feasibility and impact of POCTs for these specimen types. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; microbiology; primary care

Mesh:

Year:  2021        PMID: 34815274      PMCID: PMC8611454          DOI: 10.1136/bmjopen-2020-048527

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


We analysed a very comprehensive dataset with detailed data for all microbiology test requests and results over a decade by a large clinical microbiology laboratory. Coding of tests may have changed over time, but we reviewed 95% of all codes and grouped similar ones to avoid missing relevant tests. The results of our study may not apply to other regions of the UK or other countries, where patterns of testing and prevalence of organisms may differ. It was not always possible to distinguish between test combinations done together as a standard of practice by the laboratory from those that were requested together for clinical reasons.

Introduction

Viral, bacterial and parasitic infections are associated with a large burden of morbidity and mortality worldwide.1 2 Rapid and accurate identification of pathogens causing the infection could lead to quicker selection of therapy, improve prognosis and reduce transmission. This may also facilitate antibiotic stewardship by ensuring antibiotics are only prescribed when appropriate.3 4 Near-patient or point-of-care (POC) tests are investigations carried out in clinical settings or the patient’s home that provide a rapid result without depending on specialist laboratories, which can take hours to days to yield an outcome.5 Technological advances and their potential benefits3 have contributed to some POC tests becoming available in primary care,5 despite doubts about their cost-effectiveness.6 In the UK, antimicrobial prescribing guidelines for primary care are produced locally and can occasionally also incorporate suggested diagnostics.7 These change over time according to national and local changes in resistance and guidelines. Due to limited resources and technical development in some cases, and also partly to the variability in specimens received by the laboratory (eg, urine, blood, stool, sputum), which guides the processing and culture medium needed, clinical microbiology continues to rely on traditional methods such as specimen-specific cultures to identify microorganisms.8 In the last decade, molecular methods including PCR, microarray and nucleic acid sequencing have started to take a prominent place in clinical microbiology. There are examples of rapid tests for HIV,9 hepatitis C,10 influenza,11 syphilis12 and urinary tract infections.13 Multiplex tests that permit the identification of different pathogens in the same specimen are also now available.14 For example, there are various multiplex molecular panels that can detect bacteria, viruses and parasites in stool samples.15 In secondary care, BioFire FilmArray panels can be used to detect bacterial or viral pathogens and antimicrobial resistance genes when investigating respiratory tract infections. Despite the potential advantages of POC testing in primary care, barriers to uptake include concerns about their clinical utility and technical performance, over-reliance on results, undermining of clinical skills and cost.16 Identifying which individual tests and combinations are most frequently requested from primary care, as has already been noted for biochemistry laboratory blood tests,17 could inform test development and adoption of POC tests by general practitioners (GPs). Although microbiology testing in primary care in the UK has been examined in terms of regional inequalities for a limited number of tests,18 a comprehensive assessment of current demand for microbiology testing from primary care is currently lacking. The aim of this study was to describe the frequencies of the most commonly requested microbiology tests, individually and in combination, from primary care practices in the publicly funded National Health Service Oxfordshire Clinical Commissioning Group.19 We also explored the yearly usage of these tests and described the most common organisms identified in positive results.

Methods

Study setting and population

The Oxford University Hospitals Microbiology laboratory processes all samples taken from primary care GP surgeries in Oxfordshire. We conducted a retrospective cohort study using the Infections in Oxfordshire Research Database (IORD), including all microbiology tests requested by 74 active and 20 closed/merged GP surgeries in Oxfordshire between January 2008 and May 2018.20

Test grouping

As our aim was to summarise frequently occurring tests, we decided to exclude infrequent tests which were requested less than 1000 times a year. This rule covered for 95% of all test codes. Some of the included tests may show a lower frequency due to elimination of duplicates and grouping of test codes. Tests routinely performed together as part of standard operating procedures were grouped (online supplemental table 1). For example, urine microscopy is reserved for few specific indications and usually accompanied by urine culture (but not necessarily vice versa), so formed a single category. Faecal test was similarly grouped. This created eight groups of culture±microscopy test requests: urine, genital, surface swab, faecal, antenatal urine, dermatophyte, pus and respiratory tract. Gastrointestinal PCR bacterial panel tests (BD MAX Enteric Panel, Becton Dickinson, New Jersey, USA), for the identification of Salmonella spp, Campylobacter spp, Shigella spp, and shigatoxigenic Escherichia coli in faeces, were also grouped. Other tests targeted individual organisms/infections (online supplemental table 1). For each of hepatitis B, hepatitis C and HIV, serology and molecular tests (antigen, antibody, ±DNA or RNA) were grouped. We excluded a small number of tests that are no longer routinely requested or tests misclassified as microbiological, such as semen analysis for male fertility. Nearly all test codes (99%) were included, the remaining excluded due to being too infrequent. Results were classified as positive or negative, as appropriate for the test type. For example, a culture was considered positive if it met the laboratory standard defined in standard operating procedures (eg >104–105 CFUs/mL of a pathogenic organism in urine cultures); mixed growth and equivocal results were reported separately.

Statistical analysis

The frequency of the most common microbiology tests was described. We also reported the number of patients with at least one test during the study period, and the frequency of positive results. For each test, we reported the five the most common organisms identified, as percentages of the total number of tests and of the total number of positives. Data were reported overall, by sex, and by age category. We used heat maps to investigate test combinations requested on the same date, and within 7 and 14 days after an initial request, since tests within this time period are more likely to be requested for the same medical condition. Statistical analyses were conducted in R (V.3.6.0) using the ‘ComplexHeatmap’ package.21

Patient and public involvement

Patients and the public were not involved in the design, conduct or reporting of this research.

Results

The dataset included 1 596 752 test requests (average 145 000/year), corresponding to 1 207 518 request dates among 393 905 patients. For comparison, the mid-2018 population estimate for Oxfordshire was 687 524.22 Most patients were female (257 367, 65.3%), and the age distribution was similar to that of Oxfordshire (online supplemental table 2).

Frequencies of testing

Table 1 shows the frequencies of the most commonly requested test groups. Urine culture±microscopy was the most common (65 000 /year), accounting for 42% of tests and 63% of patients with at least one test during the study period. The most common targeted test was hepatitis B virus (11 000/year, primarily surface antigen tests) accounting for 7% of all tests and 20% of all patients. Respiratory tract cultures accounted only for 0.20% of all tests and 0.42% of all study participants.
Table 1

Frequency of microbiology tests requested by primary care surgeries in Oxfordshire between 2008 and 2018

Test groupTestsTest resultsPatients
N%Positive*Mixed growthEquivocalN%†
All tests 1 596 752100393 905100
Culture±microscopy
 Urine673 61242.226.725.63.05247 35662.8
 Genital108 8616.8227.869 05517.5
 Surface swab68 2884.2841.148 85412.4
 Faecal68 2404.279.7455 03214.0
 Antenatal urine57 4233.606.5725.41.7937 9239.63
 Dermatophyte24 0931.5126.821 0295.34
 Pus49330.3135.03.2643321.10
 Respiratory tract32110.2093.616710.42
Tests targeting specific organisms Positive
 Hepatitis B116 3667.29Surface antigen:0.59 (470/79811) antenatal,3.15 (956/30359) non-antenatal80 65820.5
 HIV99 4366.230.5667 46717.1
Treponema pallidum (syphilis)84 6865.300.0658 00214.7
Chlamydia76 7114.802.3555 68214.1
 Rubella (antibody)76 5564.7996.551 70513.1
Helicobacter pylori51 1373.2020.045 45611.5
Hepatitis C30 9101.94Antibody: 5.52 (1633/29561)RNA 51.3 (779/1519)25 4686.47
Cryptosporidium/Giardia22 4221.402.4519 0764.84
Clostridioides difficile12 9750.815.7010 4892.66
 Gastrointestinal bacterial panel‡10 0150.6315.692022.34
Epstein-Barr virus68770.43EBNA IgG: 70.5 (4649/6592)VCA IgG: 47.6 (1033/2172)VCA IgM: 26.6 (568/2136)65701.67

*Positivity in cultures reflects the detection of one or more organisms in the specimen provided, and should not necessarily be interpreted as an indication of pathogenicity.

†Percentages may not add to total as patients could have more than a single test of a different type during the study period.

‡An enteric pathogen panel that tests for Shigella spp, Salmonella spp, Campylobacter spp and shiga toxin genes (for the detection of shigatoxigenic Escherichia coli such as O157).

EBNA, Epstein-Barr virus Nuclear Antigen; VCA, viral capsid antigen.

Frequency of microbiology tests requested by primary care surgeries in Oxfordshire between 2008 and 2018 *Positivity in cultures reflects the detection of one or more organisms in the specimen provided, and should not necessarily be interpreted as an indication of pathogenicity. †Percentages may not add to total as patients could have more than a single test of a different type during the study period. ‡An enteric pathogen panel that tests for Shigella spp, Salmonella spp, Campylobacter spp and shiga toxin genes (for the detection of shigatoxigenic Escherichia coli such as O157). EBNA, Epstein-Barr virus Nuclear Antigen; VCA, viral capsid antigen. Of all tests, 79% were from females, and among included patients, females had two times as many tests per person as males (mean 4.9 vs 2.5) (table 2), mainly due to more urine and genital cultures and antenatal tests in women aged 18–49. Conversely, surface swabs, faecal tests, dermatophyte, pus and respiratory tract cultures were the most common in males. Proportionally more urine and Clostridioides difficile tests were conducted in older individuals (online supplemental table 3). Cryptosporidium/Giardia tests were done mostly in children aged 13 or younger. Respiratory tract cultures were more likely done in children aged 14–17 years, and in older adults.
Table 2

Frequency of microbiology tests by sex in Oxfordshire primary care practices between 2008 and 2018

Test groupMaleFemale
N tests%N patients%*N tests%N patients%*
All tests 343 020100136 5381001 253 732100257 367100
Culture±microscopy
 Urine171 65650.075 46055.3501 95640.0171 89666.8
 Genital6480.196000.44108 2138.6368 45526.6
 Surface swab28 9668.4420 51115.039 3223.1428 34311.0
 Faecal30 5948.9225 01418.337 6463.0030 01811.7
 Antenatal urine57 41537 915
 Dermatophyte11 2783.2998627.2212 8151.0211 1674.34
 Pus25660.7522341.6423670.1920980.82
 Respiratory tract13370.397510.5518740.159200.36
Tests targeting specific pathogens
 Hepatitis B17 9525.2315 03311.098 4147.8565 62525.5
 HIV94182.7577815.7090 0187.1859 68623.2
Treponema pallidum (syphilis)18650.5417391.2782 8216.6156 26321.9
Chlamydia46551.3643423.1872 0565.7551 34020.0
 Rubella3530.103420.2576 2036.0851 36320.0
Helicobacter pylori21 4636.2619 35414.229 6742.3726 10210.1
 Hepatitis C16 4284.7913 4899.8814 4821.1611 9794.65
Cryptosporidium/Giardia11 5713.3797517.1410 8510.8793253.62
Clostridioides difficile50331.4741173.0279420.6363722.48
 Gastrointestinal bacterial panel†44861.3141463.0455290.4450561.96
 Epstein-Barr virus27430.8026391.9341340.3339311.53

*Note these percentages may not add to the total as patients could have more than a single test of a different type during the study period.

†An enteric pathogen panel that tests for Shigella spp, Salmonella spp, Campylobacter spp and shiga toxin genes (for the detection of shigatoxigenic Escherichia coli such as O157).

Frequency of microbiology tests by sex in Oxfordshire primary care practices between 2008 and 2018 *Note these percentages may not add to the total as patients could have more than a single test of a different type during the study period. †An enteric pathogen panel that tests for Shigella spp, Salmonella spp, Campylobacter spp and shiga toxin genes (for the detection of shigatoxigenic Escherichia coli such as O157).

Patterns of testing

Figure 1 shows combinations of tests requested on the same date. Urine tests were mainly requested in isolation. Antenatal tests were often requested in combination. Faecal culture±microscopy were often accompanied by Cryptosporidium/Giardia, C. difficile and gastrointestinal bacterial PCR tests. Many genital cultures were accompanied by a chlamydia PCR test.
Figure 1

Heat map showing the percentage of all tests in the row that were also accompanied by the test in the column.

Heat map showing the percentage of all tests in the row that were also accompanied by the test in the column. Online supplemental figures 1–6 show test combination frequencies by age. In all age groups, urine culture±microscopy remained the most frequent request in isolation. Faecal culture±microscopy, Cryptosporidium/Giardia, gastrointestinal bacterial PCR and C. difficile tests were the most common combination in children aged 0–13. In children aged 14–17, genital culture±microscopy and chlamydia tests became more common. In the 50–64 age group, Helicobacter pylori was the second most common test. In the two oldest groups, surface swabs were the second most common test, and faecal tests, Cryptosporidium/Giardia, gastrointestinal bacterial and C. difficile formed the most common combination. Overall, 18% (71 572/393 905) and 23% (91 483/393 905) of all patients were retested on 102 108 and 154 528 occasions within 7 and 14 days, respectively. Urine (including antenatal) tests were a common reason for retesting within 7 days, often in combination with rubella, hepatitis B, syphilis or HIV (figure 2). Of the gastrointestinal bacterial panel, 13% were followed by faecal culture or microscopy within 7 days. Similar patterns were seen for 14 days (online supplemental figure 7). Repeated testing more often followed a mixed growth result than a positive or negative result: 7% of mixed growth urine cultures were followed by a repeat urine culture test within 7 days, compared with 4% of positive and negative urine cultures.
Figure 2

Heat map showing the percentage of all tests in the row that were followed by the test in the column within 7 days.

Heat map showing the percentage of all tests in the row that were followed by the test in the column within 7 days.

Test results

Table 1 shows percentages of tests that yielded a positive result. Urine cultures were positive, mixed growth and equivocal in 27%, 26% and 3% of cases, respectively. Antenatal urine cultures were less often positive (7%) but mixed growth (25%) remained common. Positive results occurred more often for surface swabs (41%) and pus (35%) cultures. Most respiratory tract cultures were positive for at least one organism (94%). The most common organism detected in urine culture was E. coli: 20% of all urine cultures, 73% of positive urine cultures and 48% of positive antenatal urine cultures (table 3). Enterococcus spp (primarily Enterococcus faecalis) were more common in positive antenatal urine cultures (33%) than in positive general urine cultures (7%). Particular organisms predominated in other groups: Candida spp in 72% of positive genital cultures, Staphylococcus spp in 60% of positive surface swab cultures and 62% of positive pus cultures, Campylobacter spp in 85% of positive faecal cultures, and Trichophyton spp in 89% of positive dermatophyte cultures.
Table 3

Frequency of the five most common organisms by test group in Oxfordshire primary care practices between 2008 and 2018

Test grouporganism detectedN positive*% of positive specimens% of all tested specimens
Urine 180 04710026.7
Escherichia coli132 22773.419.6
Enterococcus spp13 0937.271.94
Klebsiella spp70503.921.05
Staphylococcus spp67833.771.01
Proteus spp67283.741.00
 Other14 1777.872.10
Genital 30 27010027.8
Candida spp21 76771.920.0
 Metronidazole-sensitive anaerobes531617.64.88
Streptococcus spp442114.64.06
Staphylococcus spp6762.230.62
E. coli3931.300.36
 Other410.140.04
Surface swab 28 02910041.0
Staphylococcus spp16 79859.924.6
Streptococcus spp849530.312.4
Candida spp322711.54.73
 Metronidazole-sensitive anaerobes11093.961.62
Haemophilus spp10013.571.47
 Other7972.841.17
Faecal 66491009.74
Campylobacter spp563184.78.25
Salmonella spp6089.140.89
 Giardia lamblia2884.330.42
Shigella spp831.250.12
E. coli821.230.12
 Other40.060.01
Antenatal urine 37731006.57
E. coli179647.63.13
Enterococcus spp125033.12.18
Streptococcus spp†3258.610.57
Staphylococcus spp1935.120.34
Candida spp1002.650.17
 Other1092.890.19
Dermatophyte 645210026.8
Trichophyton spp574689.123.8
Candida spp5778.942.39
Fusarium spp941.460.39
Acremonium spp681.050.28
Scopulariopsis spp440.680.18
 Other80.120.03
Pus 172510035.0
Staphylococcus spp107662.421.8
Streptococcus spp29517.15.98
Pseudomonas spp18610.83.77
E. coli1237.132.49
 Metronidazole-sensitive anaerobes1005.802.03
 Other21812.64.42
Respiratory tract 300410093.6
Haemophilus spp120340.037.5
Pseudomonas spp88029.327.4
Streptococcus spp31410.59.78
Staphylococcus spp30610.29.53
Moraxella spp2839.428.81
 Other35811.911.1

*The number of tests positives for all organisms within a test group may not add up to the total number of positives, as some specimens may be positive for more than one organism.

†Predominantly Group B streptococcus.

Frequency of the five most common organisms by test group in Oxfordshire primary care practices between 2008 and 2018 *The number of tests positives for all organisms within a test group may not add up to the total number of positives, as some specimens may be positive for more than one organism. †Predominantly Group B streptococcus. Urine cultures were more likely to return positive results in females than in males (29% vs 20%), while positive dermatophyte cultures were more common in males (32%) than in females (22%) (online supplemental table 4). Urine cultures were more often positive in older individuals, and Proteus spp were more common in children and older adults (online supplemental tables 5 and 6). In surface swab cultures, Staphylococcus spp prevalence increased with age. In dermatophyte cultures, Trichophyton spp became less prevalent and Candida spp more prevalent with increasing age. Most serological tests performed in the antenatal screen returned negative results; for example, hepatitis B surface antigen was detected in 0.6% of samples, and 96% were positive for rubella antibodies, consistent with previous vaccination/infection (table 1). Among non-antenatal serological tests, H. pylori antibodies were detected in 20% of samples. Of the Epstein-Barr virus group, 71% were positive for Epstein-Barr virus Nuclear Antigen (EBNA) IgG (suggesting previous exposure), 48% for Viral Capsid Antigen (VCA) IgG and 27% for VCA IgM (consistent with acute infection). Positive results for H. pylori and Epstein-Barr virus were more common at older ages (online supplemental table 6). For non-culture faecal investigations, positive results occurred in 16% of gastrointestinal PCR tests, 6% of C. difficile tests and 2% of Cryptosporidium/Giardia tests.

Longitudinal trends in testing

For most tests, the number of requests per year remained roughly constant over time (online supplemental figures 8 and 9). Antenatal urine requests increased between 2008 and 2011 in line with the National Institute for Health and Care Excellence (NICE) guidance to offer women screening for asymptomatic bacteriuria early in pregnancy to reduce the risk of pyelonephritis.23 Genital testing declined slightly after 2015 as swabs without specific clinical indication are no longer recommended in the NICE guidance.24 Rubella IgG and C. difficile tests have decreased, as NICE guidelines did not advocate rubella screening in pregnancy after April 2016,25 alongside a national decline in C. difficile-associated infection.26 H. pylori testing has gradually increased, and gastrointestinal PCR tests were not conducted until 2016, when the BD MAX Enteric Bacterial Panel was introduced.

Discussion

Summary of findings

In this analysis of microbiology testing patterns in primary care in Oxfordshire, we have shown that the greatest burden of testing is attributable to urine tests (42% of all tests). The burden was even greater in the older age groups (57%–81% of all tests in these age groups). This is understandable as NICE guidance recommends samples to be sent for urine cultures in women with suspected urinary tract infection if they are pregnant, are older than 65, had a positive urine dipstick or had symptoms persisting after antibiotic treatment.7 27 Antenatal urine cultures and blood tests, which are part of national antenatal screening NICE guidelines,28 are the second largest contributor, but are much less frequent (5%–7% of all tests) than urine cultures. Of note, 26% of all urine cultures were reported as mixed growth, consistent with poor sample quality reflecting perineal contamination. Antenatal urine cultures were less likely to be positive (7%) than urine cultures in other individuals (27%), many of whom would be expected to be symptomatic. NICE guidance advocates treatment of asymptomatic bacteriuria in pregnancy as this may be a risk factor for pyelonephritis, low birth weight and premature delivery.29 While E. coli was the predominant organism in positive urine cultures, the proportion containing Enterococcus spp or Streptococcus spp (predominantly Group B) was higher in antenatal cultures. Novel POC urine tests should therefore be capable of identifying a range of targets, including Group B streptococci in pregnant women. For several tests, results may have reflected the prevalence of normal flora or sample contamination, so those classified as ‘positive’ were not necessarily pathogenic and may not have changed empiric management.30 31 Examples include Candida spp in genital cultures and Staphylococcus spp in surface swab cultures. The apparent high positivity rate in respiratory tract cultures was caused by a range of organisms, of which some may be pathogenic but many may form part of the commensal microbiota.30 32 Among faecal specimens, positive culture results were less common overall (10% of faecal samples), with Campylobacter spp being the most common organism detected, consistent with national trends.33 We observed gastrointestinal PCR tests and faecal cultures are often requested on the same and subsequent dates. Since 2016, the most common bacterial pathogens have been tested with PCR and if positive for Shigella spp, and/or shigatoxigenic E. coli, they are confirmed with faecal culture and reference laboratory testing. For Salmonella spp, a culture plate is usually set up in parallel with PCR. In the UK, respiratory tract infections are a common reason for consultation in primary care34 although are in most cases caused by a virus and do not need antibiotic prescription.7 Guidelines recommend further investigation only if symptoms deteriorate or do not resolve after 3 weeks.7 Respiratory tract cultures were very uncommon in our study, although commoner among males, in children aged 14–17 years, and in older adults. Respiratory tract cultures are requested by primary care doctors to assist in the diagnosis of rare respiratory conditions such as cystic fibrosis35 or in the management of acute exacerbations of bronchiectasis36 or chronic obstructive pulmonary disease.37 Due to their being used significantly less than other culture types, they are unlikely to be a useful candidate for the development of new POC tests.

Strengths and limitations

The main advantage of our investigation is the availability of a comprehensive dataset including all microbiology test requests and results recorded over a decade by a large clinical microbiology service, minimising selection or sampling bias. Our study has also limitations. First, test coding may have changed over time, but we reviewed 95% of all codes and grouped similar ones to avoid missing relevant tests. Second, as our study was done in a single county, we cannot extrapolate to other regions where patterns of testing and prevalence of organisms may differ.18 Thirdly, it was not always possible to distinguish test combinations performed together by default from those which were requested together for clinical reasons, and therefore it is unclear which elements of, for example, faecal PCR would be a clinical priority. Relatedly, we cannot be certain whether some test groups were requested in response to symptoms or as part of routine management. The latter appears likely for the antenatal test group, as typically antenatal urine tests and hepatitis B, HIV and syphilis blood tests would be requested together at booking, and so if these appeared on different dates it may have been an artefact of how data are recorded or reporting delays. Finally, we have considered the demand from primary care to inform prioritisation of the development of new POC tests, but we could not consider the likely costs of these new POC tests, their acceptability by primary care doctors and patients and other factors relevant for their adoption.16

Comparison with other literature

A previous study investigated the demand for biochemistry laboratory blood tests in the community in Oxfordshire.17 In comparison, microbiology tests form a smaller number of overall requests from primary care (approximately 145 000 per year vs 3.6 million per year), but microbiology tests were more frequently repeated within 7 days (18% vs less than 3% for most specific blood tests). This might be explained by the number of urine cultures that returned inconclusive or mixed growth results. The balance between total demand and the ability to perform rapid repeat testing should therefore be considered when setting priorities for POC test development. Consideration should also be given to improving sample quality for urine tests, whether performed at POC or in the laboratory.

Implications for research and practice

Our results suggest that tests targeting urine infection diagnostics should have high priority for POC test development, based on the high frequency of requests made. The figures presented here underestimate the likely demand for total number of urine investigations performed in primary care. Urine dipsticks taken at the point of care are more commonly used to diagnose urinary tract infection than urine cultures in the UK and other European countries.38 39 This is particularly the case among non-pregnant and non-menopausal women. The diagnostic performance of urine dipsticks is inferior to bacteriological urine culture, which are often used to confirm positive urine dipsticks, and remain the ‘gold standard’ for investigating urinary tract infections.40 Viable POC tests should be able to detect the range of organisms described here, and reduce the need for repeat testing, caused in part by mixed growth results. Further work should aim to assess factors that might affect uptake of such POC tests in practice, including cost-benefit considerations, as well as the clinical impact of tests becoming available. Our analysis has also highlighted the potential value of a diagnostic for other specimen types that have a high burden of testing, notably genital samples and tests for antenatal screening.
  25 in total

1.  Incidence, severity, help seeking, and management of uncomplicated urinary tract infection: a population-based survey.

Authors:  Chris C Butler; Meredith K D Hawking; Anna Quigley; Cliodna A M McNulty
Journal:  Br J Gen Pract       Date:  2015-10       Impact factor: 5.386

Review 2.  Multiplex Molecular Panels for Diagnosis of Gastrointestinal Infection: Performance, Result Interpretation, and Cost-Effectiveness.

Authors:  Matthew J Binnicker
Journal:  J Clin Microbiol       Date:  2015-12       Impact factor: 5.948

3.  Moving towards strategic commissioning: impact on clinical commissioning groups as membership organizations.

Authors:  Lynsey Warwick-Giles; Imelda McDermott; Kath Checkland; Valerie Moran
Journal:  J Health Serv Res Policy       Date:  2019-04-16

4.  The Cutaneous Microbiome: Implications for Dermatology Practice.

Authors:  Megan A Sander; Michael S Sander; Judith L Isaac-Renton; Matthew A Croxen
Journal:  J Cutan Med Surg       Date:  2019-04-02       Impact factor: 2.092

Review 5.  Point-of-Care Testing for Infectious Diseases: Past, Present, and Future.

Authors:  Thomas R Kozel; Amanda R Burnham-Marusich
Journal:  J Clin Microbiol       Date:  2017-05-24       Impact factor: 5.948

6.  Frequencies and patterns of laboratory test requests from general practice: a service evaluation to inform point-of-care testing.

Authors:  Thomas R Fanshawe; José M Ordóñez-Mena; Philip J Turner; Ann Van den Bruel; Brian Shine; Gail N Hayward
Journal:  J Clin Pathol       Date:  2018-09-18       Impact factor: 3.411

7.  Complex heatmaps reveal patterns and correlations in multidimensional genomic data.

Authors:  Zuguang Gu; Roland Eils; Matthias Schlesner
Journal:  Bioinformatics       Date:  2016-05-20       Impact factor: 6.937

8.  Variations in presentation, management, and patient outcomes of urinary tract infection: a prospective four-country primary care observational cohort study.

Authors:  Christopher C Butler; Nick Francis; Emma Thomas-Jones; Carl Llor; Emily Bongard; Michael Moore; Paul Little; Janine Bates; Mandy Lau; Timothy Pickles; Micaela Gal; Mandy Wootton; Nigel Kirby; David Gillespie; Kate Rumbsy; Curt Brugman; Kerenza Hood; Theo Verheij
Journal:  Br J Gen Pract       Date:  2017-12       Impact factor: 5.386

9.  Longitudinal study of infectious intestinal disease in the UK (IID2 study): incidence in the community and presenting to general practice.

Authors:  Clarence C Tam; Laura C Rodrigues; Laura Viviani; Julie P Dodds; Meirion R Evans; Paul R Hunter; Jim J Gray; Louise H Letley; Greta Rait; David S Tompkins; Sarah J O'Brien
Journal:  Gut       Date:  2011-06-27       Impact factor: 23.059

10.  The Clinical Utility of Point-of-Care Tests for Influenza in Ambulatory Care: A Systematic Review and Meta-analysis.

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Journal:  Clin Infect Dis       Date:  2019-06-18       Impact factor: 9.079

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1.  Urine collection devices to reduce contamination in urine samples for diagnosis of uncomplicated UTI: a single-blind randomised controlled trial in primary care.

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Journal:  Br J Gen Pract       Date:  2022-02-24       Impact factor: 5.386

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