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The British Journal of General Practice logoLink to The British Journal of General Practice
. 2010 Oct 1;60(579):e395–e406. doi: 10.3399/bjgp10X532404

Management of first-episode pelvic inflammatory disease in primary care: results from a large UK primary care database

Amanda Nicholson 1,2,3,4,5,6, Greta Rait 1,2,3,4,5,6, Tarita Murray-Thomas 1,2,3,4,5,6, Gwenda Hughes 1,2,3,4,5,6, Catherine H Mercer 1,2,3,4,5,6, Jackie Cassell 1,2,3,4,5,6
PMCID: PMC2944949  PMID: 20883614

Abstract

Background

Prompt and effective treatment of pelvic inflammatory disease (PID) may help prevent long-term complications. Many PID cases are seen in primary care but it is not known how well management follows recommended guidelines.

Aim

To estimate the incidence of first-episode PID cases seen in UK general practice, describe their management, and assess its adequacy in relation to existing guidelines.

Design of study

Cohort study.

Setting

UK general practices contributing to the General Practice Research Database (GPRD).

Method

Women aged 15 to 40 years, consulting with a first episode of PID occurring between 30 June 2003 and 30 June 2008 were identified, based on the presence of a diagnostic code. The records within 28 days either side of the diagnosis date were analysed to describe management.

Results

A total of 3797 women with a first-ever coded diagnosis of PID were identified. Incidence fell during the study period from 19.3 to 8.9/10 000 person-years. Thirty-four per cent of cases had evidence of care elsewhere, while 2064 (56%) appeared to have been managed wholly within the practice. Of these 2064 women, 34% received recommended treatment including metronidazole, and 54% had had a Chlamydia trachomatis test, but only 16% received both. Management was more likely to follow guidelines in women in their 20s, and later in the study period.

Conclusion

These analyses suggest that the management of PID in UK primary care, although improving, does not follow recommended guidelines for the majority of women. Further research is needed to understand the delivery of care in general practice and the coding of such complex syndromic conditions.

Keywords: chlamydia, electronic health records, incidence, pelvic inflammatory disease, primary health care

INTRODUCTION

Pelvic inflammatory disease (PID) is a clinical syndrome involving abdominal pain and tenderness, dyspareunia, abnormal bleeding, discharge, and fever. It is predominantly the result of a bacterial (often sexually transmitted) infection ascending from the endocervix to the higher reproductive tract. PID can lead to long-term complications including tubal infertility, ectopic pregnancy, and pelvic pain and it is thought that prompt treatment reduces the risk of such sequelae.1 UK guidelines for the treatment and management of PID cover appropriate testing and antibiotic treatment and include suggested outpatient regimens.25 Although some women in the UK experiencing the symptoms of PID may seek help in specialist clinics, such as genitourinary medicine clinics, or go direct to secondary care via emergency departments, many are likely to attend their GP.6,7 Indeed, analysis of records for patients consulting in general practice have indicated that a substantial and increasing proportion of sexually transmitted infections (STIs) are dealt with in primary care settings.8,9 This trend follows England's National Strategy for Sexual Health and HIV, which recommended a greater role for primary care providers in the detection and treatment of STIs.10

Little is known about how women with PID are managed in general practice, or how closely management guidelines are followed in this setting. The existing literature is based on self-report questionnaires, which often have very low response rates and are subject to reporting bias.11 However they show that guidelines are often not followed. Chlamydia trachomatis is an important causative agent of PID and concern about the burden of C. trachomatis infection in men and women aged 15–24 years and the potential long-term sequelae resulted in the National Chlamydia Screening Programme (NCSP) in England.12 This programme offers opportunistic screening from various clinical and non-clinical sites. It is not clear how this programme has affected the management of PID. There is a need for recent data to describe delivery of care and inform continuing education.

Research databases of electronic primary care records enable identification of women seen in general practice and given a diagnostic code for PID. The presence of such a code may not always accurately reflect the presence of the clinical condition, but the large body of varied research using these resources suggests that they allow valid examination of real-life patient journeys.

Research objectives

Using electronic primary care records, the study aimed to estimate the incidence of first-episode PID seen in general practice by identifying a cohort of women consulting with a first-ever episode of PID. It also aimed to describe the management of these patients, within the practice and beyond, and assess its adequacy in relation to existing guidelines, including associations between management and various patient and practice factors.

METHOD

Data used

The General Practice Research Database (GPRD) is an electronic database of anonymised longitudinal patient records from general practice.13 Established in 1987, it is a UK-wide dataset covering 5.5% of the population, with data from 460 practices, broadly representative of the UK population. There are 3.5 million currently active patients. Records are derived from the GP computer system (VISION) and contain complete prescribing and coded diagnostic and clinical information, as well as information on tests requested, laboratory results, and referrals made at or following on from each consultation. The structure of the data is shown in Figure 1, with different parts of data held in separate record tables. Practice-level data include a deprivation index score based on the postcode of the practice and the NHS region in which the practice is based. In 200 out of 460 (approximately 40%) practices, a Townsend deprivation index score based on the small area level is available for each patient.

Figure 1.

Figure 1

Structure of the GPRD database.

How this fits in

General practice has an important role in treating pelvic inflammatory disease. Management guidelines exist, but it is uncertain whether these are followed in general practice. Coded data from an electronic database of real-time primary care records indicate that a minority of women with pelvic inflammatory disease receive investigation and treatment according to guidelines. Further research is needed to understand the delivery of care in general practice.

Identification of cases

The target population was all women permanently registered with a practice that met GPRD data reporting standards. All women with a first coded diagnosis of PID, who were aged 15–40 years at the time of diagnosis, during the study period 30 June 2003 to 30 June 2008, were identified. Code lists used for the definition of cases are included in Appendix 1. The code lists focused on acute cases, so that women with a code for chronic PID or its sequelae before the first acute code were excluded. Because the study research question concerns management, only codes that the researchers thought indicated that the GP was confident of the diagnosis of PID were used. Codes where the diagnosis may have been in doubt such as ‘female pelvic infection’ were excluded. Women with a coded diagnosis relating to pregnancy, miscarriage, or therapeutic abortion 60 days before to 28 days after the date of the PID code were not included in the analyses, and nor were temporary patients.

If there were multiple PID diagnostic codes for an individual, the date of the first one was used as the index date. Analyses were restricted to records in the period 28 days before and after the index date. If the index date was within 28 days of the start or end of the registration at the practice, the case was excluded from the final management analyses.

Analysis of management

Four aspects of the management of the PID patients were assessed.

Testing

A chlamydia test was considered to have been carried out if there was either a code for a test (for example, ‘chlamydia antigen test’) or a diagnosis of relevant chlamydial infection (for example, ‘female chlamydial pelvic inflammatory disease’), using an approach developed in previous work.9 Codes were identified for tests for Neisseria gonorrhoea. Non-specific microbial tests were considered to have been carried out if there was either a code for appropriate swab (for example, ‘high vaginal swab’), or a test such as microscopy, culture, and sensitivities with no location given. Code lists are included in Appendix 1.

Treatment

Using prescription data, variables were created for each of the following treatments:

  • all antibiotics – based on British National Formulary heading 0501; and

  • specific antibiotics – based on guidelines (2005 and 2006),35 recommended treatment for PID was defined as any one of erythromycin, ofloxacin, azithromycin, or doxycycline, with or without metronidazole. Code lists were drawn up using drug substance name and including all formulations except for inappropriate topical preparations. Dosage and duration of use were not assessed, since this is a complex task and resources were limited. Although it is optional for milder cases in guidelines, the use of metronidazole has been highlighted in these analyses as a marker of the most complete treatment.

Evidence of care elsewhere

It was considered that a woman with a diagnostic code for PID had received care for PID in another healthcare setting if any one of the following conditions were met:

  • a diagnostic code for the condition within the referral record (Figure 1);

  • a suggestive symptom code within the referral record (for example, ‘pelvic pain’); or

  • a code anywhere in the records indicating care elsewhere (for example, ‘referral to A&E’, ‘seen in GUM clinic’). This category also included less specific terms such as ‘discharge summary’ or ‘letter from specialist’.

Evidence of management only within practice

If there was no evidence of care elsewhere and there was evidence of any treatment (any antibiotic prescription) or testing (including non-specific microbial tests) within the practice, these cases were considered to have been managed within the practice only. This group alone was used for the investigation of quality of management in general practice as it did not seem appropriate to include cases where important parts of the care may have been delivered outside the general practice, and hence not necessarily recorded on the database. Women with no evidence of either management within the practice or care elsewhere were also not included in the quality of management analyses, due to concerns about completeness of recording in these cases.

Statistical analysis

The data were prepared using Stata (version 10; Statacorp LP, Texas). Calendar years were defined as mid-years from 30 June so that year 2003 covered 30 June 2003 to 29 June 2004, and so on.

Denominator data, by single year age groups and calendar year, were used to calculate the incidence rates in specific age groups and years by dividing the number of cases by the appropriate denominator. Age-standardised rates were then obtained by applying these rates to the European standard population. Differences in incidence rates over time and age groups were assessed using Poisson regression.

For analyses of management, first the proportion of cases with the various management markers in different study years and age groups was calculated. Logistic regression models were then used to investigate factors associated with different management locations, testing, and treatment patterns. A series of sensitivity analyses were performed, extending the window for analysis of management from 28 to 42, 60, and 90 days either side of the index date, to assess whether relevant data were being missed by using the 28-day window.

RESULTS

Figure 2 summarises the identification and exclusion of cases; 4724 women with a first coded episode of PID during the study period were identified from a population of 2.8 million woman-years of observation. Of these, 927 had evidence of a recent pregnancy and were excluded, leaving 3797 cases for the incidence analyses. The median age of the included women was 25 years (interquartile range 20–31 years).

Figure 2.

Figure 2

Flow chart of study: patient identification and exclusions.

Incident cases available for the study

The incidence of first episode of PID seen in general practice fell during the study period, from 19.3/10 000 person-years in 2003 to 8.9/10 000 person-years in 2007. The incidence rate was highest in women aged 20–24 years, and rose from 28.4 to 30.4/10 000 person-years between 2003 and 2004 but then fell to 14.2/10 000 person-years in 2007. Incidence in all other age-groups fell progressively from 2003 to 2007, with the greatest decline in younger age groups (P = 0.04 for interaction in Poisson models).

Management of PID

Location of management One hundred and twenty-eight women in whom the index date of the first episode was within 28 days of the start or end of their GP records were excluded, leaving 3669 cases of PID (Table 1); 34% of women with a PID diagnosis had evidence of having received care elsewhere, and this proportion increased during the study period (P for trend <0.001). To validate the classification of location of management, the proportions of women who received treatment or testing within the practice were compared in women with and without evidence of care elsewhere. Evidence of care outside general practice was associated with a 40% reduction in odds of having either recommended treatment or a C. trachomatis test within general practice (odds ratio [OR] = 0.6; 95% confidence interval [CI] = 0.5 to 0.7 for both). The proportion of cases with evidence of management only within the GP practice declined over time (P<0.001), commensurate with the rise in cases with care elsewhere. Ten per cent of women had no evidence of either management within practice or care elsewhere, and this proportion also declined over time.

Table 1.

Location of management of PID cases seen in primary care.

n (%)

n Evidence of care elsewhere Managed only in practice No evidence of management
2003 954 247 (25.9) 579 (60.7) 128(13.4)

2004 892 283 (31.7) 528 (59.2) 81 (9.1)

2005 754 267 (35.4) 415(53.0) 72 (9.6)

2006 605 235 (38.8) 317 (52.4) 53 (8.8)

2007 464 202 (43.5) 225 (48.5) 37 (8.0)

P-value for trend over time <0.001 <0.001 0.001

Total 3669 1234 (33.6) 2064 (56.3) 371 (10.1)

Management within practice in comparison to guidelines

Of the 2064 PID cases managed only within practice, 60% of these women received recommended treatment (of which 34% included metronidazole) (Table 2); 56% had received a C. trachomatis test, and 50% a non-specific microbial test; 36% received optimal treatment with the recommended antibiotic and a C. trachomatis test, but only 16% had had a C. trachomatis test and treatment including metronidazole. The absolute numbers of cases managed within practice declined steeply during the study period, due both to declining overall incidence and the increasing proportion with evidence of care elsewhere. The proportion of women receiving recommended treatment increased during the study period, but there were no clear trends in testing over time. Sensitivity analyses, shown in Appendix 2, show that the proportion of cases with evidence of care elsewhere increased as the window widened, but for patients managed within the practice, the pattern of care was similar.

Table 2.

Quality of management of PID cases managed within practice only.

n (%)

N Chlamydia trachomatis test Non-specific test Neisseria gonorrhoea test Recommended treatment Recommended treatment (including metronidazole) Recommended treatment + Chlamydia trachomatis test Recommended treatment including metronidazole + Chlamydia trachomatis test
2003 579 306 (52.9) 299 (51.6) 4 (0.7) 331 (57.2) 195(33.7) 180(31.1) 74(12.8)

2004 528 297 (56.3) 246 (47.0) 3 (0.6) 304 (57.6) 161 (30.5) 180(34.1) 67(12.7)

2005 415 243 (58.6) 210(50.6) 14(3.4) 241 (58.1) 128(30.8) 150(36.1) 64(15.4)

2006 317 181 (57.1) 157(49.5) 9 (2.8) 210(66.3) 126(39.8) 130(41.0) 64 (20.2)

2007 225 130(57.8) 114(50.7) 20 (8.9) 152(67.6) 98 (43.8) 97 (43.1) 51 (22.7)

P-value for trend over time 0.116 0.914 <0.001 0.001 0.003 <0.001 <0.001

Total 2064(100) 1157(56.1) 1028(49.8) 50 (2.4) 1238(60.0) 708 (34.3) 737 (35.7) 320(15.5)

Patient and practice-level associations with optimal treatment

Determinants of optimal treatment (C. trachomatis test with recommended treatment with or without metronidazole) were examined in logistic regression models. Multivariate models confirmed optimal treatment was more likely in later years of the study. Women in their 30s were less likely to receive optimal treatment (Table 3). Although there were some differences in optimal management across the quintiles of practice deprivation, there was no evidence of linear trend with increasing deprivation (OR for linear variable = 1.0 [95% CI = 0.9 to 1.0]). Similarly, no association with deprivation was seen in the subsample for which individual Townsend deprivation index quintile was available (n = 982, P from likelihood ratio test for inclusion of deprivation quintile = 0.55). Results were similar when multilevel logistic regression models were run with a random intercept including practice as a higher-level variable.

Table 3.

Determinants of optimal managementa within practice.

Age group (years)

15–19 20–24 25–29 30–34 35–40
Adjusted OR (95% CI) 1 0.9 (0.7 to 1.1) 0.6 (0.5 to 0.8) 0.5 (0.3 to 0.7) 0.4 (0.3 to 0.6)

Event year 2003 2004 2005 2006 2007

Adjusted OR (95% CI) 1 1.1 (0.9 to 1.5) 1.2 (0.9 to 1.6) 1.6 (1.2 to 2.2) 1.8 (1.3 to 2.5)

Practice location: quintile of deprivation 1 (least deprived) 2 3 4 5 (most deprived)

Adjusted OR (95% CI) 1 1.5(1.1 to 2.1) 1.3 (0.9 to 1.8) 1.6 (1.2 to 2.2) 1.1 (0.8 to 1.5)
a

Optimal management = C. trachomatis test and recommended antibiotic treatment with or without metronidazole.

DISCUSSION

Summary of main findings

The study results confirm that a substantial caseload of PID is seen and diagnosed in UK primary care. A fall in incidence of diagnosed cases was seen between 2003 and 2008. The results indicate, however, that only a minority of PID cases managed within primary care received treatment and investigations according to guidelines. Overall, only 16% of women received both a C. trachomatis test and recommended treatment, including metronidazole. Women seen later in the study period were more likely to have received care that followed guidelines (23% received testing and treatment including metronidazole in 2007), as were younger women. Practice-level deprivation did not affect the recorded management of patients.

Strengths and limitations of the study

This study used real-time patient records and so it was possible to assess the care that unselected patients receive, avoiding the problems of response and reporting bias that are inherent in self-report data. However, these databases are designed for patient care and not for research. Only coded data were used in these analyses, and it was not possible to include any information that was entered as free text in the GP records. This may have resulted in misclassification of patients both as cases and into the different management groups.

The clinical diagnosis of PID is subjective, with definitive diagnosis relying on laparoscopy which is not routinely used. Doxanakis et al showed substantial differences in the diagnostic rates of PID between genitourinary medicine specialists in Australia.14 This is also likely to be true between GPs. Once a diagnosis is made, GPs may vary in their use of Read Codes, so that a condition may be entered either as diagnosis or as presenting symptom. In order to maintain high specificity, no presenting symptoms were included as diagnostic codes. Ratelle et al showed that PID diagnostic codes alone in secondary care were a poor predictor of clinically verified PID.15 If this is also the case in primary care, some of the cases in the present study may not have actually been PID. Although there are no validation data to address this issue, the key question for this study is whether the GP thought the patient had PID and whether they were then managed appropriately; such as, whether the diagnostic code accurately reflects the GP's opinion. Further research is needed to understand how GPs code such complex clinical conditions.

The classification of location of management was complex. The use of the referral record by GPs was used as evidence of referral, but it is unclear how accurately these separate records are used in practice by GPs. Some of the Read Codes taken as evidence of care elsewhere were relatively nonspecific and may have not actually been related to the PID diagnosis. As expected, as the management window widened, the proportion of women with evidence of care elsewhere increased, but this may have included unrelated referrals. Similarly, it is possible the recommended treatment was given for conditions other than PID. However, in sensitivity analyses the estimates of treatment were not dependent on the length of the management window.

Comparison with existing literature

Previous papers reporting incidence of PID in UK primary care have studied total episodes not just first episodes. Simms and coworkers, using two different primary care systems, reported incidence rates up to 10 times higher than those of the present study: with 251/10 000 person-years for 20–24 year olds in 1991, and 150/10 000 for 25–44 year olds in 2001.6,7 Other work using the GPRD has found an incidence of 28.1/10 000 person-years for women aged 16–44 years between 2000 and 2008.16 The incidence levels for PID reported in this study are lower because the incidence estimates are not for surveillance but to estimate management case load in general practice. A more restricted code list was used to increase specificity, first episodes only were counted, and cases where the infection may have arisen in relation to childbirth or miscarriage were excluded.

The study found a marked fall in the incidence of first-episode coded PID in primary care, with rates falling by more than 50%. Declining incidence of PID diagnosed in general practice in the UK has been documented since 1994,7 and its relationship to the English NCSP is at yet unclear.16 The study data may reflect a true fall in incidence of the disease, but alternative explanations need to be considered. These include changes in patterns of care – with more cases seen in other settings – or changes to coding or recording of data. Recent changes in GP coding and recording behaviour have been substantial, following the introduction of the Quality and Outcomes Framework targets. It is possible that such changes have led to an apparent fall in PID incidence. However, PID is not included in any Quality and Outcomes Framework targets, and for improved coding to lead to a fall in incidence would imply that previous estimates were too high. The trend found of increasing evidence of care elsewhere might support change in the pattern of care as an explanation. However, reports from other countries that include data from all healthcare settings have shown a similar trend with falling incidence.17,18 If incidence is falling, it may be due to the chlamydia screening programme or may reflect a change in pathogenicity of causative organisms.

Implications for clinical practice and future research

The results overall raise some concerns about the completeness of management of PID in primary care, although the trend of improved management over time is encouraging. Although 70% of women with PID had received recommended treatment and 54% a C. trachomatis test, only 16% had received both. A postal questionnaire survey of UK GPs in 1994 found that 63% reported prescribing appropriate anti-chlamydia treatment and 45% reported testing for C. trachomatis.11 Overall, these figures are very similar to the estimates of the present study, and suggest education could still be improved. Women in their 20s are more likely to receive recommended management. It was reassuring that neither patient nor practice deprivation level were associated with following management guidelines.

Cases of PID recorded in primary care were more likely to show evidence of care received elsewhere in the later years of the study period. This trend towards greater care elsewhere is somewhat surprising and goes against what might have been expected from the recommendations of the Department of Health review.10 It is possible that these trends represent better recording of referral and hospital events by GPs rather than any actual change in pattern of care.

These analyses, using coded data from an electronic records database, suggest that the management of PID in UK primary care, although improving, does not follow recommended guidelines for the majority of women. Further initiatives are required to improve the management of women with PID and to understand any barriers to care. However, the accuracy of the coded information in primary care databases needs to be confirmed and the authors plan to consult anonymised free text in a selection of cases to investigate whether textual data alter the case definition and estimates of incidence and management.

Acknowledgments

Access to the GPRD database was funded through the Medical Research Council's licence agreement with the MHRA.

Appendix 1. Code lists: A. Diagnostic codes for pelvic inflammatory disease

GPRD medical code Read/OXMIS term Read/OXMIS Code
271330 Female pelvic inflammatory disease NOS K4z..00

216451 Other specified female pelvic inflammatory disease K4y..00

262041 Female gonococcal pelvic inflammatory disease K44..00

225561 PID – pelvic inflammatory disease K40z.13

243685 PID K40z.11

271318 Female pelvic inflammatory diseases NOS K40z.00

207468 Female chlamydial pelvic inflammatory disease K40y100

289486 Acute pelvic inflammatory disease K409.00

262035 Acute pelvic inflammatory disease K406.11

262034 Acute parametritis K403000

234667 Acute parametritis and pelvic cellulitis K403.00

252797 Unspecified salpingitis and oophoritis NOS K402z00

225555 Perisalpingitis unspecified K402700

207465 Salpingitis unspecified K402600

252796 Salpingo-oophoritis unspecified K402500

207464 Perioophoritis unspecified K402400

289481 Oophoritis unspecified K402300

280371 Salpingitis and oophoritis unspecified K402.00

262032 Acute salpingitis and oophoritis NOS K400z00

216441 Acute perisalpingitis K400400

234664 Acute salpingitis K400300

298752 Acute salpingo-oophoritis K400200

271313 Acute perioophoritis K400100

207462 Acute oophoritis K400000

298751 Oophoritis – acute K400.11

280367 Acute salpingitis and oophoritis K400.00

234663 Ovarian, fallopian tube and pelvic inflammatory diseases K40..00

243681 Female pelvic inflammatory diseases K4...00

269816 Acute gonococcal salpingitis A981700

304410 PELVIC INFLAMMATION FEMALE 6160FL

238388 PERIOOPHORITIS 614 PP

238387 PERISALPINGITIS 614 PL

284301 OOPHORITIS 614 B

304403 SALPINGO-OOPHORITIS 614 A

211327 OOPHORITIS ACUTE 612 P

229476 SALPINGITIS ACUTE 612 L

219863 OOPHORITIS GONOCOCCAL 0981B

256278 SALPINGITIS GONOCOCCAL 0981A

207522 [X]Inflammatory diseases of female pelvic organs Kyu8.00

214967 Chlamydial inf of pelviperitoneum oth genitourinary organs A78A300

265498 SYNDROME FITZHUGH CURTIS 0988FC

278875 Fitzhugh Curtis syndrome A98y600

289351 Chlamydial peritonitis J550400

Appendix 1.

Code lists: B. Code lists for chlamydia test.

GPRD medical code Read/OXMIS term Read/OXMIS Code
205965 Chlamydial infection, unspecified A78AW00

205969 Other viral or chlamydial disease NOS A7z..00

206063 [X]Other chlamydial diseases Ayu6100

207468 Female chlamydial pelvic inflammatory disease K40y100

214967 Chlamydial inf of pelviperitoneum oth genitourinary organs A78A300

215059 [X]Chlamydial infection, unspecified Ayu6200

225563 Chlamydia cervicitis K420900

242170 Chlamydial infection of genitourinary tract, unspecified A78AX00

242258 [X]Chlamydial infection of genitourinary tract, unspecified Ayu4K00

251351 Chlamydial infection of lower genitourinary tract A78A000

258276 Chlamydia antigen by ELISA 43U0.00

267536 Chlamydia antigen test 43U..00

278838 Other viral and chlamydial diseases A7...00

278847 Other viral or chlamydial diseases A78..00

278852 Chlamydial infection A78A.00

280340 Chlamydial epididymitis K241600

285745 Chlamydia antigen ELISA positive 43U1.00

285746 Chlamydia antigen ELISA negative 43U2.00

287974 Other specified viral and chlamydial diseases A78y.00

289351 Chlamydial peritonitis J550400

297184 Chlamydial infection of anus and rectum A78A200

297190 Other specified viral or chlamydial diseases A7y..00

297288 [X]Other diseases caused by chlamydiae Ayu6.00

302966 INFECTION CHLAMYDIAL 0399C

302967 CHLAMYDIA TRACHOMATIS 0399CT

307938 Chlamydia trachomatis IgG level 43eJ.00

308079 Chlamydia trachomatis L2 antibody level 43eC.00

308199 Chlamydia group complement fixation test 43eF.00

308461 Chlamydia antibody level 43eE.00

308950 Chlamydia trachomatis polymerase chain reaction 43h0.00

309472 Chlamydia group antibody level 43WM.00

309613 Chlamydia trachomatis IgM level 43ez.00

309766 Endocervical chlamydia swab 4JK9.00

309829 Urethral chlamydia swab 4JKA.00

332003 Chlamydia trachomatis IgA level 43n9.00

342066 Chlamydia trachomatis antigen test 43U3.00

342214 Chlamydia deoxyribonucleic acid detection 43jK.00

342310 Chlamydia serology 4JDM.00

343726 Urine screen for chlamydia 68K7.00

343949 Chlamydia PCR positive 43U4.00

343968 Chlamydia PCR negative 43U5.00

344624 Urine chlamydia trachomatis test positive 46H6.00

344736 Urine chlamydia trachomatis test negative 46H7.00

345942 Chlamydia screening declined 8I3T.00

346998 Chlamydia screening counselling 677L.00

347186 Chlamydia trachomatis contact 65PJ.00

347227 Low vaginal swab for chlamydia taken by patient 4JKD.00

347301 Chlamydial infection of genital organs NEC A78A500

347315 Chlamydia test offered 9Oq0.00

347970 Chlamydia test positive 43U8.00

348085 Chlamydia test negative 43U6.00

348329 Chlamydia test equivocal 43U7.00

Appendix 1.

Code lists: C. Tests for Neisseria gonorrhoea.

GPRD medical code Read/OXMIS term Read/OXMIS Code
249090 Gonorrhoea infect. titre test 43E6.00

309228 Neisseria gonorrhoeae polymerase chain reaction 43h6.00

309635 Neisseria gonorrhoeae nucleic acid detection 43jA.00

340376 Gonococcal swab 4JLA.00

342356 Gonococcal cervical swab 4JKB.00

343558 Gonococcal urethral swab 4JKC.00

348093 Gonorrhoea test positive 4JQA.00

348168 Gonorrhoea test negative 4JQ8.00

348381 Gonorrhoea screening counselling 677M.00

Appendix 1.

Code lists: D. other microbial tests.

GPRD medical code Read/OXMIS term Read/OXMIS Code
203712 Infectious titres NOS 43E..00

203917 Sample microscopy 4I15.00

203918 White cells seen on microscopy 4I15100

203919 RBCs seen on microscopy 4I15200

203947 High vaginal swab culture negative 4JK2100

203948 HVS culture – trichomonas vaginalis 4JK2200

205666 Refer for microbiological test 8HP2.00

210464 PENILE SWAB CULTURE NEGATIVE L167DN

210515 HVS TRICHOMONAS VAGINALIS L1670FT

212942 Sample culture 4J17.00

212962 Semen sent for C/S 4JL8.00

219515 SWAB CERVICAL ABNORMAL L167FC

219570 HVS LACTOBACILLI L1670FL

221698 Direct microscopy 31B1.00

222017 Sample: no organism isolated 4J11.00

222018 Sample: organism isolated 4J12.00

222020 Sample: bacteriology – general 4J2..00

222022 Sensitivity – bacteriology 4J2..13

222038 Microbiology NOS 4JZ..00

228578 MICROBIOLOGY REPORT ABNORMAL L2MA

228611 HVS CULTURE NEGATIVE L167FN

228613 SWAB CULTURE BACTERIAL GROWTH L167XE

230862 Blood sent – infectious titres 43E1.00

231003 Parasite in urine 46H..15

231090 Microbiology 4J...00

231091 Sample – microbiological exam 4J1..00

231094 Sample: dir.micr.:no organism 4J71.00

231095 Bacteria on microscopy 4J72.11

231108 Urethral swab culture positive 4JK1000

231109 High vaginal swab: white cells seen 4JK2500

231110 Vaginal swab culture negative 4JK6.00

237538 MICROBIOLOGY REPORT L2MR

237571 VAGINAL SWAB CULTURE POSITIVE L167FZ

237574 SWAB CULTURE FUNGAL GROWTH L167XC

237587 VIRAL TITRES L189D

237617 HVS GARDNERELLA VAGINALIS L1670FG

237618 HVS YEAST L1670FY

240066 Sample: direct micr. organism 4J7..00

240075 High vaginal swab culture positive 4JK2000

240076 HVS culture – gardnerella vaginalis 4JK2300

240077 Low vaginal swab taken 4JK3.00

240078 Misc. sample for organism 4JL..00

246733 SWAB CERVICAL L167FA

246735 URETHRAL SWAB CULTURE NEGATIVE L167IN

249028 Swab sent to Lab 4147.00

249310 Culture – general 4J...11

249324 Cervical swab culture positive 4JK5000

258253 Blood – infect. titre negative 43E2.00

258485 Culture sensitivity 4J15.11

258486 Sample: microbiology NOS 4J1Z.00

258503 Urethral swab culture negative 4JK1100

258504 Vaginal swab culture positive 4JK7.00

258505 Penile swab culture positive 4JK8000

258506 Penile swab culture negative 4JK8100

265145 PENILE SWAB L167D

265146 PENILE SWAB CULTURE POSITIVE L167DP

265197 HVS WBC L1670FW

267662 Urine microscopy: orgs/FB's 46H..00

267735 Sensitivity – microbiol. 4J...12

267736 Sample: organism sensitivity 4J15.00

267739 O/E: stained micr.: organism 4J8..00

267754 Vaginal swab taken 4JK..11

267755 Vulval swab taken 4JK4.00

267756 Penile swab taken 4JK8.00

267757 GUT swab NOS 4JKZ.00

274368 HVS EPITHELIAL CELLS L1670FE

276782 Culture – bacteriology 4J2..12

276783 Sample sent for culture/sensit 4J22.00

276800 GUT sample taken for organism 4JK..00

276801 High vaginal swab taken 4JK2.00

276802 Cervical swab taken 4JK5.00

283373 HVS L167F

283374 HVS CULTURE POSITIVE L167FP

283375 VAGINAL SWAB CULTURE NEGATIVE L167FY

285938 Microscopy, culture and sensitivities 4I16.00

285943 Sample: bacteria cultured 4J23.00

285955 Urethral swab taken 4JK1.00

285958 Microbiology test 4JQ..00

292462 MICROBIOLOGY REPORT NORMAL L2MN

292509 SWAB CERVICAL NORMAL L167FB

292511 URETHRAL SWAB CULTURE POSITIVE L167IP

292515 SWAB CULTURE NO GROWTH L167XB

295145 High vaginal swab: fungal organism isolated 4JK2400

295146 Cervical swab culture negative 4JK5100

297019 Microbiology report received 9ND3.00

301878 VAGINAL SWAB L167FX

301879 URETHRAL SWAB L167I

301882 SWAB CULTURE YEAST GROWTH L167XD

308931 Bacterial antibody level 43e..00

309727 Microscopy 4JS..00

331709 Gram stain microscopy 4JS0.00

332043 Anaerobic culture 4J18.00

339918 Concentrate microscopy 4JS2.00

340342 Genital microscopy, culture and sensitivities 4I1 C.00

340745 Fluid microscopy, culture and sensitivities 4I1D.00

343815 Semen microscopy 49L..00

343816 Aerobic culture 4J19.00

344353 Additional urine tests 46h..00

345784 Culture for fungi 4J45.00

350883 Low vaginal swab taken by patient 4JKE.00

350959 Self taken low vaginal swab 4JKE.11

Appendix 2. Results of sensitivity analyses at the 42, 60, and 90-day management windows

42 days, % 60 days, % 90 days, %
All cases in management analyses, n = 3669 n = 3669 n = 3669
 Managed in practice 53.7 50.7 46.8
 No evidence of management 9.1 8.0 6.8
 Evidence of care elsewhere 37.2 41.2 46.4

Of those managed in practice only n = 1971 n = 1862 n = 1719
 Any recommended drug 59.9 60.5 60.8
 Any recommended drug + metronidazole 34.4 35.1 35.2
Chlamydia trachomatis test 57.0 57.9 59.0
 Microbial test 52.2 53.8 55.5
Chlamydia trachomatis test and any treatment 36.3 37.1 37.6

Funding body

Access to the GPRD database was funded through the Medical Research Council's licence agreement with the Medicines and Healthcare products Regulatory Agency.

Ethics committee

The study was approved by the MHRA Independent Scientific Advisory Committee (protocol number 08_097).

Competing interests

The authors have stated that there are none.

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