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. 2024 Jul 1;19(7):e0300193. doi: 10.1371/journal.pone.0300193

An analysis of NHS 111 demand for primary care services: A retrospective cohort study

Richard Pilbery 1,2,*,#, Madeleine Smith 3,#, Jonathan Green 4,#, Daniel Chalk 5,#, Colin O’Keeffe 2,#
Editor: Adam R Aluisio6
PMCID: PMC11216596  PMID: 38949999

Abstract

The NHS 111 service triages over 16,650,745 calls per year and approximately 48% of callers are triaged to a primary care disposition, such as a telephone appointment with a general practitioner (GP). However, there has been little assessment of the ability of primary care services to meet this demand. If a timely service cannot be provided to patients, it could result in patients calling 999 or attending emergency departments (ED) instead. This study aimed to explore the patient journey for callers who were triaged to a primary care disposition, and the ability of primary care services to meet this demand. We obtained routine, retrospective data from the Connected Yorkshire research database, and identified all 111 calls between the 1st January 2021 and 31st December 2021 for callers registered with a GP in the Bradford or Airedale region of West Yorkshire, who were triaged to a primary care disposition. Subsequent healthcare system access (111, 999, primary and secondary care) in the 72 hours following the index 111 call was identified, and a descriptive analysis of the healthcare trajectory of patients was undertaken. There were 56,102 index 111 calls, and a primary care service was the first interaction in 26,690/56,102 (47.6%) of cases, with 15,470/26,690 (58%) commenced within the specified triage time frame. Calls to 999 were higher in the cohort who had no prior contact with primary care (58% vs 42%) as were ED attendances (58.2% vs 41.8), although the proportion of avoidable ED attendances was similar (10.5% vs 11.8%). Less than half of 111 callers triaged to a primary care disposition make contact with a primary care service, and even when they do, call triage time frames are frequently not met, suggesting that current primary care provision cannot meet the demand from 111.

Introduction

The National Health Service (NHS) 111 service aims to assist members of the public with urgent medical care needs and is the successor to the NHS Direct service in England. Following pilots in four sites it was rolled out nationally, with the final site going live in England in 2014, and in 2019/20 111 received over 19 million calls [1]. Its key founding objective was to provide easy access to support for the public with urgent care needs, to ensure they received the “right care, from the right person, in the right place, at the right time” [2]. It is also the key component of the 24/7 Integrated Urgent Care Service outlined in the NHS Long Term Plan [3].

The proposed benefits of this system were to improve the public’s access to urgent healthcare, help people use the right service first time including self-care and provide commissioners with management information regarding the usage of services.

Initial evaluation of the four pilot sites reported that the public were generally satisfied with the service and followed the advice given, there were no significant impacts on emergency department or urgent care service utilisation, but there were increases in 999 ambulance service activity as a result of the introduction of the 111 service [4, 5].

Subsequent evaluation of the service has explored the effect of clinical input on triage decisions with respect to patient compliance and avoidable emergency department attendance [68]. However, no studies have been conducted using data collected following the publication of the Integrated Urgent Care Specification, published in 2017, which called for sufficient numbers of clinicians, working to approved guidelines and protocols, to support 111 call handlers [9]. In addition, there has been little scrutiny of the ability of primary care provision (particularly out-of-hours) to meet the demand of the NHS 111 service. This is particularly pertinent, since approximately 55% of all NHS 111 call dispositions result in a referral to a primary care service. If a timely service cannot be provided to patients, it is possible that this will result in patients calling 999 or attending emergency departments (ED) directly.

The aim of this study was to explore the patient journey for callers who are given a primary care disposition following a call to NHS 111, and the ability of primary care services to meet relevant 111 call dispositions. The primary objective was to determine the proportion of initial healthcare contacts following the index 111 call, that were a primary care service. Secondary objectives included determining what proportion of primary care service contacts were made within the specified triage timeframe, and for ED admissions, the proportion of attendances that were avoidable, stratified by tine of attendance and whether an initial contact had been made with a primary care service or not.

Methods

111 call triage and disposition

The 111 service uses the Clinical Decision Support System (CDSS) NHS Pathways to triage calls. It is not intended to be a diagnostic system, but instead is designed to assess symptoms and signpost to onward care, if required. Calls handlers are non-clinical, but work with clinicians who can provide support and, in some circumstances, take over the call [10].

NHS Pathways comprises an interlinked series of algorithms (pathways) that link questions and care advice resulting in a clinical endpoint known as a disposition. This specifies the general category of service and the time frame that this should be available to the caller. These pathways correspond to a symptom group (SG), such as chest pain or headache, and a symptom discriminator, which describes the level of care required. Triage questioning continues until a relevant symptom related to a condition cannot be safely excluded and the patient is allocated a symptom discriminator which describes the appropriate level of care required, for example ‘full Primary Care assessment and prescribing capability’ [11].

Data

We obtained routine, retrospective data from the Connected Yorkshire research database, which provides linked data for approximately 1.2 million citizens across the Bradford and Airedale region of Yorkshire [12]. Datasets include 111 and 999 call data, as well as primary and secondary care (including emergency department and in-patient activity). All datasets are pseudonymised so that researchers cannot identify individual participants.

We obtained a convenience sample of all 111 calls between the 1st January 2021 and 31st December 2021 for patients who were triaged to a primary care disposition (S1 Table) and registered with a General Practitioner (GP) in the Bradford area at the time of the call. Depending on perceived acuity as determined by the NHS Pathways system, patients are allocated to either a face-to-face or telephone consultation with a primary care clinician within a specified time frame. Subsequent healthcare system access in the following 72 hours following the first (index) call was identified, by searching the 111 and 999 call, primary care, and hospital emergency department and in-patient admission datasets.

Analysis

We conducted a descriptive analysis comparing patient demographic, triage characteristic and patient trajectory data for patients who did, and did not, receive a timely contact with a primary care service. The primary outcome measure was the proportion of initial healthcare contacts that were made to a primary care service following the index 111 call, and reported as counts and percentages. The first secondary outcome measure was the proportion of primary care service contacts that were made within the time specified by index 111 call triage. As before, counts and percentages were reported. For the secondary outcome measure determining the proportion of ED admissions that were classed as avoidable, we calculated counts and percentages of attendances that met criteria for avoidable admission as defined by O’Keeffe et al [13]. They defined an avoidable attendance as a patient presenting to a consultant-led ED which provides a 24-hour service with full resuscitation facilities and designated accommodation for the reception of emergency care patients (referred to as a type 1 ED [14]), but who do not receive investigations, treatments or referral that required the facilities of that ED. The results were stratified by whether the attendance was ‘in-hours’ (between 08:00 and 18:00 on a weekday) and if a primary care service had been contacted prior to ED attendance.

To visualise the patient’s trajectories, we generated a sankey diagram. All analysis was conducted using the statistics package, R [15].

Ethical approval

This study was approved by the Bradford Learning Health System Board in accordance with the Connected Yorkshire NHS Research Ethics Committee (REC) approval relating to the Connected Yorkshire research database (17/EM/0254). No separate Health Research Authority (HRA) approval was required for this study.

PPI

The application and protocol for this study was review by the Yorkshire Ambulance Service NHS Trust patient research ambassador. In addition, Connected Bradford have an active patient and public involvement group who were involved in the decision to approve this study.

Results

Between the 1st January 2021 and 31st December 2021, there were 56,102 index 111 calls with a primary care disposition. The first healthcare interaction following the call was a primary care service in 26,690/56,102 (47.6%) of cases. However, in 21,749/56,102 (38.8%) of cases, the caller had no further healthcare contact in the 72 hours following the index 111 call (Table 1).

Table 1. Summary data for index 111 calls with a primary care disposition.

Characteristic Primary care first contact, N = 26,690 Other healthcare service first contact, N = 7,663 No healthcare contact in 72 hours, N = 21,749 Overall, N = 56,102
Triaged primary care contact timeframe (N, %)
    1hr 6,100 (23%) 1,695 (22%) 2,553 (12%) 10,348
    2hrs 9,966 (37%) 2,893 (38%) 6,921 (32%) 19,780
    6hrs 6,137 (23%) 1,570 (20%) 5,187 (24%) 12,894
    >6hrs 4,487 (17%) 1,505 (20%) 7,088 (33%) 13,080
Patient age in years (median, IQR) 28 (5, 50) 30 (13, 51) 30 (15, 49) 29 (8-50)
Patient sex (N, %)
    Female 15,978 (60%) 4,618 (60%) 13,462 (62%) 34,058
    Male 10,711 (40%) 3,045 (40%) 8,286 (38%) 22,042
    Unknown 1 (<0.1%) 0 (0%) 1 (<0.1%) 2
Time of index 111 call (N, %)
    Out-of-hours 21,314 (80%) 5,656 (74%) 14,360 (66%) 41,330
    In-hours 5,376 (20%) 2,007 (26%) 7,389 (34%) 14,772
Primary care consultation type (N, %)
    Face to face 17,879 (67%) 5,219 (68%) 16,603 (76%) 39,701
    Telephone 8,811 (33%) 2,444 (32%) 5,146 (24%) 16,401
Primary care appointment made by 111 (N, %)
    No 24,862 (93%) 7,020 (92%) 18,181 (84%) 50,063
    Yes 1,828 (6.8%) 643 (8.4%) 3,568 (16%) 6,039
Clinical advisor involved in call (N, %)
    No 22,178 (83%) 6,352 (83%) 17,749 (82%) 46,279
    Yes 4,512 (17%) 1,311 (17%) 4,000 (18%) 9,823
Initial disposition service rejected (N, %)
    No 23,036 (86%) 6,549 (85%) 17,344 (80%) 46,929
    Yes 3,654 (14%) 1,114 (15%) 4,405 (20%) 9,173
Triage symptom group (N, %)
    Other 15,392 (58%) 4,822 (63%) 13,197 (61%) 33,411
    Pain and/or Frequency Passing Urine 1,622 (6.1%) 292 (3.8%) 1,340 (6.2%) 3,254
    Unwell, Under 1 Year Old 1,291 (4.8%) 364 (4.8%) 840 (3.9%) 2,495
    Skin, Rash 1,205 (4.5%) 247 (3.2%) 988 (4.5%) 2,440
    Earache 1,313 (4.9%) 174 (2.3%) 915 (4.2%) 2,402
    Sore Throat or Hoarse Voice 1,174 (4.4%) 273 (3.6%) 871 (4.0%) 2,318
    Chest and Upper Back Pain 984 (3.7%) 331 (4.3%) 793 (3.6%) 2,108
    Vomiting 1,046 (3.9%) 366 (4.8%) 644 (3.0%) 2,056
    Lower Back Pain 895 (3.4%) 248 (3.2%) 805 (3.7%) 1,948
    Cough 859 (3.2%) 244 (3.2%) 762 (3.5%) 1,865
    Abdominal Pain 898 (3.4%) 301 (3.9%) 590 (2.7%) 1,789
    Unknown 11 1 4 16
First service contacted following index 111 call (N, %)
    GP 26,690 (100%) 0 (0%) 0 (0%) 26,690
    No further healthcare contact 0 (0%) 0 (0%) 21,749 (100%) 21,749
    ED 0 (0%) 3,803 (50%) 0 (0%) 3,803
    IUC 0 (0%) 2,602 (34%) 0 (0%) 2,602
    999 0 (0%) 739 (9.6%) 0 (0%) 739
    IP 0 (0%) 519 (6.8%) 0 (0%) 519

During the week, calls were most commonly made after 18:00, consistent with coinciding with a working-age demographic finishing a ‘typical’ working day, whereas calls were spread more widely across the day at the weekend (Fig 1). There were 190 distinct symptom groups in the data, although the most common were pain and/or frequency when passing urine, unwell infants and rashes (Table 1 and S1 Fig). The median age of callers was 29 years (IQR 8–50 years), although the distribution of ages was bimodal, with peaks seen in patients less than a year old, and in patients aged between 20–30 years (S2 Fig). Callers were more commonly female across virtually the entire age range.

Fig 1. 111 call volume by hour and day of week.

Fig 1

Referral services and clinical advisor involvement in call handling

While all included cases received a triage disposition of contact with a primary care service, services in this category do not only include GPs and integrated urgent care (IUC) centres. Pharmacists, opticians and maternity, mental health and community-based services are also included. In this cohort, ‘alternatives’ to GP or IUC services were frequently rejected for a variety of reasons including patient preference and service-based constraints, such as capacity issues (Table 2). Only GP appointments appeared to be bookable by the 111 call handler based on the data in this cohort, although this was infrequently undertaken and mostly ‘in-hours’ (S2 Table).

Table 2. Healthcare services referred to or rejected following 111 call triage.

Service category Service accepted Service rejected Total Services Offered Proportion rejected (%)
IUC/GP 54,016 2,854 56,870 5.0
Pharmacy 1,145 4,073 5,218 78.1
Community service 355 1,976 2,331 84.8
Mental health service 40 119 159 74.8
Optician 18 117 135 86.7
Maternity service 11 29 40 72.5

Greater emphasis has been placed on the availability of skilled clinicians to support the non-clinical call handlers [9]. However, in patients with a primary care service disposition, clinicians infrequently take over calls, irrespective of triage acuity (S3 Table). However, it is possible that clinical advice is provided to call handlers without the clinician actually taking over the call themselves, which would not appear in our data.

Patient healthcare trajectory

In most cases, patients either had contact with a primary care service and no further healthcare interaction, or did not have contact with a healthcare service at all (41,529/56,102, 74%) (Fig 2). However, despite the short follow-up (72 hours), there were 1,091/56,102 (1.9%) of patients who received more than 5 healthcare interactions in that period.

Fig 2. Sankey diagram of healthcare service access by patients following index 111 call.

Fig 2

GP contacts

Following the index call, the first healthcare service contact was with a primary care service in 26,690 of callers (Table 3) Perhaps unsurprisingly, triage contact times of one hour were the most challenging to meet with only 2,273/6,100 (37%) occurring within the specified triage time frame, despite representing callers triaged to the highest acuity. There was a higher proportion of callers who visited an ED following contact with a primary care service within the time frame (1,442/2,311, 62%), although it is unclear from the data why this should be the case.

Table 3. Summary data for primary care contacts following index 111 call.

Primary care contact within triage timeframe
Characteristic no, N = 11,220 yes, N = 15,470 Overall, N = 26,690
Time of index 111 call (N, %)
    In-hours 1,927 (17%) 3,449 (22%) 5,376 (20%)
    Out-of-hours 9,293 (83%) 12,021 (78%) 21,314 (80%)
Triaged primary care contact timeframe (N, %)
    1hr 3,827 (34%) 2,273 (15%) 6,100 (23%)
    2hrs 4,840 (43%) 5,126 (33%) 9,966 (37%)
    6hrs 1,806 (16%) 4,331 (28%) 6,137 (23%)
    >6hrs 747 (6.7%) 3,740 (24%) 4,487 (17%)
Next service following primary care contact (N, %)
    Ambulance service 210 (1.9%) 237 (1.5%) 447 (1.7%)
    Emergency department 869 (7.7%) 1,442 (9.3%) 2,311 (8.7%)
    In-patient 183 (1.6%) 306 (2.0%) 489 (1.8%)
    No further healthcare contact in 72 hours 6,582 (59%) 9,438 (61%) 16,020 (60%)
    Primary care 3,022 (27%) 3,537 (23%) 6,559 (25%)
    Subsequent 111 call 354 (3.2%) 510 (3.3%) 864 (3.2%)

Emergency department attendance

There were 9,290 emergency department attendances and 1,029 (11.1%) met the [13] definition of an avoidable attendance. In summary, a patient is defined as meeting this definition when they present to a consultant-led ED which provides a 24-hour service with full resuscitation facilities and designated accommodation for the reception of emergency care patients (referred to as a type 1 ED [15]), but do not receive investigations, treatments or referral that requires the facilities of a type 1 ED.

The proportion of avoidable attendances was higher in cases where the patient had contacted a primary care service after the index 111 call (Table 4). Patients who had not previously contacted a primary care service prior attended sooner than those who had, and this trend was more pronounced out-of-hours.

Table 4. Summary data for first ED attendance following index 111 call.

Time of attendance Primary care service contacted prior to attendance Avoidable attendance Total attendances Proportion of avoidable attendances Median time from index call to ED attendance (hrs, IQR)
In-hours Yes 115 1,105 10.4 4.4 (2.3–20)
In-hours No 121 1,457 8.3 3.5 (1.6–17)
Out-of-hours Yes 345 2,778 12.4 7 (3.4–21.2)
Out-of-hours No 448 3,950 11.3 4 (1.8–15)

Discussion

In our study, just under half (47.6%) of callers to 111 who were triaged to a primary care service disposition contacted a primary care service as their first post-call healthcare interaction. In addition, triaged time frames of 2 hours or less were frequently not met even when contact with a primary care service was made, suggesting primary care services are struggling to meet the demand from 111. However, despite this, the rate of contact with primary care services was higher in this study than has been reported elsewhere. For example [16], linked 111 call data with primary and secondary services in London between 2013–2017 and reported only 35% of callers triaged to a primary care disposition had contact with a GP. In contrast, experimental statistics from NHS Digital suggest that patients in the Bradford area were less likely to attend a planned GP appointment than elsewhere in England in 2021. Did-not-attend (DNA) rates for Bradford at that time were 24.7% (35.3% if cases where an appointment attendance was unknown are excluded) compared to an English mean of 8.6% [17]. Direct booking of a primary care service by 111 call handlers was associated with a higher proportion of no further healthcare system contacts, although numbers were relatively small and bookable appointments being limited mostly to in-hours consultations with a GP. Clinical advisors were involved in approximately 17.5% of all calls, although there appeared to be little to differentiate calls which did, or did not, have a clinician involved.

A systematic review by [18] identified several reasons why patients do not attend GP appointments, including work or family/childcare commitments, transport issues (including weather-related) and demographic factors such as younger age, female sex and low socio-economic background, which are disproportionally represented in our data. In addition, over 70% of planned contacts with a primary care service were face-to-face, during the third English lock down for COVID-19, and some patients may have been reluctant to attend.

While this might have resulted in the easing of the workload of primary care (and other healthcare) services, it does raise the concern that callers are not having their healthcare needs met. For example, during 2021 the incidence per patient of cardiovascular conditions such as atrial fibrillation, congestive heart disease and stroke remained below pre-pandemic levels, suggesting new diagnoses had not been made (and therefore treatment not commenced) with potential implications for patient morbidity [19].

Where contact was made with another service after the index call, this was most commonly presentation at an ED, which occurred in around 7% of cases and is similar to other studies using linked data [16, 20]. Over 10% of these attendances were classed as non-urgent, i.e. an avoidable attendance; a similar rate to those who had made contact with a primary care service before attending an ED. The reasons for this are not clear in our data, but have been explored elsewhere, and include risk minimisation by patients and carers, perceived need for a prompt healthcare intervention, compliance with instructions from healthcare professionals (in the case of those who did speak to a primary care service) and a perception that care provided by an ED is superior to alternatives [21].

Strengths and weaknesses

To our knowledge, this study represents the most up-to-date analysis of the 111 service. Previous studies utilising linked data to undertake analysis of caller trajectories following a 111 call are dated, using data from 2017 or earlier. However, the provision of urgent and emergency care remains challenging, due in part to the COVID-19 pandemic [22] and the data presented here was collected during the third English lock down. As such, caller behaviours and presentations might be different if the study was repeated now.

While the Connected Yorkshire research database has great utility for researchers wishing to explore how patients traverse the wider healthcare system, it is restricted to a discrete geographical region in West Yorkshire, which may affect the generalisability of the results we have reported. Bradford is mainly a urban area and the 13th most deprived local authority in England (out of 333) based on the Index of Multiple Deprivation [23].

Primary care disposition includes services in addition to GP and IUC centres, meaning that interactions between a caller and healthcare service provided, for example a pharmacist, would not have been captured in the data. This means that there will be gaps in our understanding of patient journeys post-call. However, given the high proportion of alternative services which were rejected by patients in our data, this may not be a significant issue.

Finally, the reasons why many patients did not adhere to their allocated 111 dispositions can only be surmised from this data. While the study had assistance from a PPI group, this was not extended to the analysis due to lack of funding, which could have provided useful insights how patient decision making contributed to the results we have observed.

Conclusion

Less than half of 111 callers triaged to a primary care disposition make contact with a primary care service, and even when they do, call triage time frames are frequently not met, suggesting that current primary care provision cannot meet the demand from 111.

Supporting information

S1 Checklist. The RECORD statement – checklist of items, extended from the STROBE statement, that should be reported in observational studies using routinely collected health data.

(DOCX)

pone.0300193.s001.docx (23.5KB, docx)
S1 Table. NHS pathways primary care dispositions.

(PDF)

pone.0300193.s002.pdf (19.5KB, pdf)
S2 Table. Direct booking by 111 call handler.

(PDF)

pone.0300193.s003.pdf (21.5KB, pdf)
S3 Table. Clinical advisor involvement in 111 calls.

(PDF)

pone.0300193.s004.pdf (22.6KB, pdf)
S1 Fig. Top 12 weekly 111 symptom groups allocated to callers.

The study data collection period (January to December, 2021) coincided with the third English lockdown due to COVID-19. While several symptom group weekly frequencies did not change, for example pain on passing urine, others, particularly those which might be exacerbated by the relaxing of COVID-19 restrictions, for example coughs and sore throats, did see an increase.

(TIF)

S2 Fig. Population pyramid for index 111 calls.

(TIF)

pone.0300193.s006.tif (927.4KB, tif)

Acknowledgments

This work uses data provided by patients and collected by the NHS as part of their care and support. The authors would like to express their thanks for the support provided by the team at Connected Yorkshire, especially Kuldeep Sohal and John Birkinshaw.

The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Data Availability

Data cannot be shared publicly because the study dataset was derived from Connected Yorkshire research database data, which has strict controls on access as part of the ethical approvals in place for the database. However, the data are available for researchers who meet the criteria for access to confidential data, by making an application to the Bradford Institute for Health Research (contact via email: bradfordresearch@bthft.nhs.uk).

Funding Statement

This report is independent research funded by the National Institute for Health and Care Research, Yorkshire and Humber (reference NIHR200166, RP, CO) and South West Pennisula (reference NIHR200167, DC) Applied Research Collaborations. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

Decision Letter 0

Adam R Aluisio

9 Oct 2023

PONE-D-23-09286

An analysis of NHS 111 demand for primary care services: A retrospective cohort study

PLOS ONE

Dear Dr. Pilbery,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we have decided that your manuscript does not meet our criteria for publication and must therefore be rejected.

I am sorry that we cannot be more positive on this occasion, but hope that you appreciate the reasons for this decision.

Kind regards,

André Ramalho, PhD

Academic Editor

PLOS ONE

Additional Editor Comments:

Our decision is based on the discovery that part of the content from your study has already been published in another peer-reviewed journal. The specific reference we identified is: Pilbery R, Smith M, Green J, et al. PP28 An analysis of NHS 111 demand for primary care services: A retrospective cohort study. Emergency Medicine Journal 2023;40:A12. Published by BMJ in October of this year. Available from: DOI http://dx.doi.org/10.1136/emermed-2023-999.27.

Our journal's policies strictly preclude the acceptance of studies that have been previously published, in full or partially, in the peer-reviewed literature.

Additionally, your submission did not incorporate the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist, an essential criterion for our review process. We fully acknowledge the time, effort, and dedication involved in research and manuscript preparation. If you decide to resubmit to our journal or another, we encourage you to address these concerns. Please feel free to contact us if you have any questions or need further details about our decision. We appreciate your interest in our journal and hope you'll consider us for future submissions. 

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Reviewers' comments:

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Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #1: Dear authors,

1. First of all, this study proves to be interesting and relevant in theme and scope by focusing on the NHS 111 service, vital to provide assistance for people with urgent medical care needs, optimizing the patient journey throughout Health institutions and their use of Health resources. Considering (lines 64-66) “there has been little scrutiny of the ability of primary care provision (particularly out-of-hours) to meet the demand of the NHS 111 service”, this study is of greater importance in this field. Methods supporting data analyses are well described and presented based on previous literature, allowing its replication. Furthermore, conclusions are drawn according to results extracted from collected and analyzed data. It would be interesting if future studies could analise how patient decision making explains patients (non-)adherence to their allocated 111 dispositions. Or even considering to perform this kind of data analysis in a broader area, for instance. It would also be of particular interest to discuss how results could be affected by the possibility of clinical advice being provided to call handlers without clinicians actually taking over the call themselves, thus affecting the registered data.

2. Aiming to (lines 72-74) “determine the proportion of initial healthcare contacts following the index 111 call, that were a primary care service” and to determine (lines 74-78) “what proportion of primary care service contacts were made within the specified triage timeframe, and for ED admissions, the proportion of attendances that were avoidable, stratified by time of attendance and whether an initial contact had been made with a primary care service or not”, this study relies on a retrospective cohort. A convenience sample of all 111 calls between the 1st January 2021 and 31st December 2021 was obtained and a descriptive analysis was performed. Methods supporting data analyses are clearly described and presented based on previous literature.

3. Data and sources underlying the findings described in the manuscript are not fully available. Though, the authors justify this fact by mentioning it “was derived from the Connected Yorkshire research database and as such cannot be freely shared. However, access to source data can be obtained by following the Connected Yorkshire research database application process.”.

4. In general, this manuscript is presented in an intelligible fashion and written in standard English.

By being the most up-to-dated analysis of the NHS 111 service, this article is highly beneficial to this field of study. Besides, this research article notices very import aspects such as: the influence of COVID-19 pandemic in patients attendance to primary care services; the fact that under half of the callers to 111 who were triaged to a primary care service disposition contacted a primary care service as their first post-call healthcare interaction; and the fact that around 10% of emergency department attendances met the definition of an avoidable attendance. This demonstrates the importance of taking action within populations, demystifying ideas and prejudices as well as reinforcing their health literacy levels.

I would like to mention the visually interesting and dynamic way authors presented results, namely the 111 call volume by hour and day of week (Fig 1.) or the Sankey diagram of healthcare service access by patients following index 111 call (Fig 2.). It allows a fluid comprehension of these particular data.

Given all these aspects, I recommend your manuscript for publication.

Best regards.

Reviewer #2: This is a study published in another peer-reviewed journal on October 1, 2023. Published by BMJ. Pilbery R, Smith M, Green J, et alPP28 An analysis of NHS 111 demand for primary care services: A retrospective cohort study. Emergency Medicine Journal 2023;40:A12. Available from: Doi http://dx.doi.org/10.1136/emermed-2023-999.27.

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Bruno Filipe Coelho da Costa

Reviewer #2: No

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[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

- - - - -

For journal use only: PONEDEC3

PLoS One. 2024 Jul 1;19(7):e0300193. doi: 10.1371/journal.pone.0300193.r002

Author response to Decision Letter 0


28 Nov 2023

Dear Dr. Ramalho,

Please find the attached re-submission as requested following the successful appeal of the editorial decision. I have taken the opportunity to make a few grammatical changes to the text, and have uploaded a copy of the manuscript with track changes enabled.

As requested, the following is a list of author responses your comments and those of the reviewers:

1. Previously published work: Already addressed by successful appeal.

2. No inclusion of STROBE checklist. Having reviewed the uploaded files, I can see that I did include a RECORD checklist, which is one of the many extensions of STROBE and in our view, more appropriate for this study.

3. We are grateful that both reviewers found the paper to be technically sound, that the statistical analysis was performed appropriately and rigorously, and that the paper was well written.

4. We acknowledge that the source data was not able to be provided, but we have explained why this is within the data availability section, and how an academic researcher wishing to replicate the results, can apply for permission to the relevant research database to undertake this. It is my understanding that research databases providing patient-level data, typically do not allow researchers to freely share this confidential data publicly.

5. Future studies. We are grateful for reviewer’s 1 suggestion about future studies and exploration of this work. There are opportunities for qualitative and quantitative research and we will be considering these in future work.

6. We are grateful for the recognition of the visually appealing figures (Figure 1 and 2). These can be time-consuming to create but feel strongly that these help the reader navigate the rich data presented.

We hope that these address any outstanding issues preventing publication, but as always, would be pleased to hear from you about further revision, if required.

Decision Letter 1

Adam R Aluisio

11 Feb 2024

PONE-D-23-09286R1An analysis of NHS 111 demand for primary care services: A retrospective cohort studyPLOS ONE

Dear Dr. Pilbery,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by 5 March 2024. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Adam R. Aluisio, M.D MSc., DTM&H

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

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3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

4. Please upload a Response to Reviewers letter which should include a point by point response to each of the points made by the Editor and / or Reviewers. (This should be uploaded as a 'Response to Reviewers' file type.) Please follow this link for more information: http://blogs.PLOS.org/everyone/2011/05/10/how-to-submit-your-revised-manuscript/

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments (if provided):

Thank you for re-submitting your draft manuscript to PLOS One for consideration for publication. Your draft manuscript completed peer-review and the majority of concerns have been satisfied. As a minor revision please complete and provide as a supplement the RECORD checklist for your draft manuscript. Thereafter it should be acceptable for publication.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear authors,

According to our journal´s policies, it is precluded the acceptance of studies that have been previously published, in full or partially, in the peer-reviewed literature. This is stated on PLOS ONE publication criteria, namely “PLOS ONE does not accept for publication studies that have already been published, in whole or in part, elsewhere in the peer-reviewed literature.” ; “In addition, we will not consider submissions that are currently under consideration for publication elsewhere.”.

Part of the content from your study has already been published in another peer-reviewed journal (BMJ, October 1, 2023) under the following reference: Pilbery R, Smith M, Green J, et alPP28 An analysis of NHS 111 demand for primary care services: A retrospective cohort study. Emergency Medicine Journal 2023;40:A12. Available from: Doi http://dx.doi.org/10.1136/emermed-2023-999.27.

Subsequently, your manuscript does not meet our criteria for publication and must therefore be rejected. Thank you for your effort and dedication involved in this manuscript preparation and submission.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Bruno Filipe Coelho da Costa

Reviewer #2: Yes: Abel Silva de Meneses

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Jul 1;19(7):e0300193. doi: 10.1371/journal.pone.0300193.r004

Author response to Decision Letter 1


19 Feb 2024

Thank you for your recent email regarding the outcome of the resubmission peer review. The only outstanding item is your request for an upload of the RECORD checklist, which I have completed.

In addition, there were a number of editorial administrative requests:

1. Manuscript meeting PLOS ONE style requirements. We have reviewed the PLOS ONE style requirements and are confident that our manuscript meets those outlined in the linked style documents.

2. Corresponding author affiliation. I have added my University of Sheffield affiliation, in addition to my clinical one.

3. Data availability statement. We have amended the statement to match the template suggested by PLOS One.

Reviewer’s comments

4. Previous publication. This is a poster abstract publication that was identified in an earlier submission. Following an appeal, where it was confirmed that I had followed the PLOS ONE guidance, this submission was reinstated.

Attachment

Submitted filename: MOOOD-paper1-resubmission-response-to-reviewers.docx

pone.0300193.s007.docx (14.8KB, docx)

Decision Letter 2

Adam R Aluisio

23 Feb 2024

An analysis of NHS 111 demand for primary care services: a retrospective cohort study

PONE-D-23-09286R2

Dear Dr. Pilbery,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Adam R. Aluisio, M.D MSc., DTM&H

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Thank you for revising.

Reviewers' comments: NA

Acceptance letter

Adam R Aluisio

17 Apr 2024

PONE-D-23-09286R2

PLOS ONE

Dear Dr. Pilbery,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Adam R. Aluisio

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. The RECORD statement – checklist of items, extended from the STROBE statement, that should be reported in observational studies using routinely collected health data.

    (DOCX)

    pone.0300193.s001.docx (23.5KB, docx)
    S1 Table. NHS pathways primary care dispositions.

    (PDF)

    pone.0300193.s002.pdf (19.5KB, pdf)
    S2 Table. Direct booking by 111 call handler.

    (PDF)

    pone.0300193.s003.pdf (21.5KB, pdf)
    S3 Table. Clinical advisor involvement in 111 calls.

    (PDF)

    pone.0300193.s004.pdf (22.6KB, pdf)
    S1 Fig. Top 12 weekly 111 symptom groups allocated to callers.

    The study data collection period (January to December, 2021) coincided with the third English lockdown due to COVID-19. While several symptom group weekly frequencies did not change, for example pain on passing urine, others, particularly those which might be exacerbated by the relaxing of COVID-19 restrictions, for example coughs and sore throats, did see an increase.

    (TIF)

    S2 Fig. Population pyramid for index 111 calls.

    (TIF)

    pone.0300193.s006.tif (927.4KB, tif)
    Attachment

    Submitted filename: MOOOD-paper1-resubmission-response-to-reviewers.docx

    pone.0300193.s007.docx (14.8KB, docx)

    Data Availability Statement

    Data cannot be shared publicly because the study dataset was derived from Connected Yorkshire research database data, which has strict controls on access as part of the ethical approvals in place for the database. However, the data are available for researchers who meet the criteria for access to confidential data, by making an application to the Bradford Institute for Health Research (contact via email: bradfordresearch@bthft.nhs.uk).


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