A multicriteria resource allocation model for the redesign of services following birth.

BACKGROUND: Many healthcare services are under considerable pressure to reduce costs while improving quality. This is particularly true in the United Kingdom's National Health Service where postnatal care is sometimes viewed as having a low priority. There is much debate about the service's redesign and the reallocation of resources, both along care pathways and between groups of mothers and babies with different needs. The aim of this study was to develop a decision support tool that would encourage a systemic approach to service redesign and that could assess the various quality and financial implications of service change options making the consequent trade-offs explicit. The paper describes the development process and an initial implementation as a preliminary exploration of the possible merits of this approach. METHODS: Other studies have suggested that combining multicriteria decision analysis with programme budgeting and marginal analysis might offer a suitable basis for resource allocation decisions in healthcare systems. The Postnatal care Resource Allocation Model incorporated this approach in a decision support tool to analyse the consequences of varying design parameters, notably staff contacts and time, on the various quality domains and costs. The initial phase of the study focussed on mapping postnatal care, involving interviews and workshops with a variety of stakeholders. This was supplemented with a literature review and the resultant knowledge base was encoded in the decision support tool. The model was then tested with various stakeholders before being used in an NHS Trust in England. RESULTS: The model provides practical support, helping staff explore options and articulate their proposals for the redesign of postnatal care. The integration of cost and quality domains facilitates trade-offs, allowing staff to explore the benefits of reallocating resources between hospital and community-based care, and different patient-categories. CONCLUSIONS: The main benefits of the model include its structure for assembling the key data, sharing evidence amongst multi-professional teams and encouraging constructive, systemic debate. Although the model was developed in the context of the routine maternity services for mothers and babies in the days following birth it could be adapted for use in other health care services.

Getting It Right for Every Child: A National Policy Framework to Promote Children's Well-being in Scotland, United Kingdom.

POLICY POINTS: Getting It Right for Every Child (GIRFEC), a landmark policy framework for improving children's well-being in Scotland, United Kingdom, is a practice initiative signifying a distinct way of thinking, an agenda for change, and the future direction of child welfare policy. GIRFEC represents a unique case study of national transformative change within the contexts of children's well-being and universal services and is of relevance to other jurisdictions. Implementation is under way, with an understanding of well-being and the requirement for information sharing enshrined in law. Yet there is scope for interpretation within the legislation and associated guidance. Inherent tensions around intrusion, data gathering, professional roles, and balancing well-being against child protection threaten the effectiveness of the policy if not resolved. CONTEXT: Despite persistent health inequalities and intergenerational deprivation, the Scottish government aspires for Scotland to be the best country for children to grow up in. Getting It Right for Every Child (GIRFEC) is a landmark children's policy framework to improve children's well-being via early intervention, universal service provision, and multiagency coordination across organizational boundaries. Placing the child and family "at the center," this approach marks a shift from welfare to well-being, yet there is still a general lack of consensus over how well-being is defined and measured. As an umbrella policy framework with broad reach, GIRFEC represents the current and future direction of children's/family policy in Scotland, yet large-scale practice change is required for successful implementation. METHODS: This article explores the origins and emergence of GIRFEC and presents a critical analysis of its incremental design, development, and implementation. FINDINGS: There is considerable scope for interpretation within the GIRFEC legislation and guidance, most notably around assessment of well-being and the role and remit of those charged with implementation. Tensions have arisen around issues such as professional roles; intrusion, data sharing, and confidentiality; and the balance between supporting well-being and protecting children. Despite the policy's intentions for integration, the service landscape for children and families still remains relatively fragmented. CONCLUSIONS: Although the policy has groundbreaking potential, inherent tensions must be resolved and the processes of change carefully managed in order for GIRFEC to be effective. It remains to be seen whether GIRFEC can fulfil the Scottish government's aspirations to reduce inequalities and improve lifelong outcomes for Scotland's children and young people. In terms of both a national children's well-being framework within a universal public service context and a distinct style of policymaking and implementation, the Scottish experience represents a unique case study of whole-country, transformational change and is of relevance to other jurisdictions.

Women's experiences and views of routine assessment for anxiety in pregnancy and after birth: A qualitative study.

BACKGROUND: Anxiety in pregnancy and postnatally is highly prevalent but under-recognized. To identify perinatal anxiety, assessment tools must be acceptable to women who are pregnant or postnatal. METHODS: A qualitative study of women's experiences of anxiety and mental health assessment during pregnancy and after birth and views on the acceptability of perinatal anxiety assessment. Semi-structured interviews were conducted with 41 pregnant or postnatal women. Results were analysed using Sekhon et al.'s acceptability framework, as well as inductive coding of new or emergent themes. RESULTS: Women's perceptions of routine assessment for perinatal anxiety were generally favourable. Most participants thought assessment was needed and that the benefits outweighed potential negative impacts, such as unnecessary referrals to specialist services. Six themes were identified of: (1) Raising awareness; (2) Improving support; (3) Surveillance and stigma; (4) Gatekeeping; (5) Personalized care and (6) Trust. Assessment was seen as a tool for raising awareness about mental health during the perinatal period and a mechanism for normalizing discussions about mental health more generally. However, views on questionnaire assessments themselves were mixed, with some participants feeling they could become an administrative 'tick box' exercise that depersonalizes care and does not provide a space to discuss mental health problems. CONCLUSION: Routine assessment of perinatal anxiety was generally viewed as positive and acceptable; however, this was qualified by the extent to which it was informed and personalized as a process. Approaches to assessment should ideally be flexible, tailored across the perinatal period and embedded in continuity of care.

Conceptual framework on barriers and facilitators to implementing perinatal mental health care and treatment for women: the MATRIx evidence synthesis.

Background: Perinatal mental health difficulties can occur during pregnancy or after birth and mental illness is a leading cause of maternal death. It is therefore important to identify the barriers and facilitators to implementing and accessing perinatal mental health care. Objectives: Our research objective was to develop a conceptual framework of barriers and facilitators to perinatal mental health care (defined as identification, assessment, care and treatment) to inform perinatal mental health services. Methods: Two systematic reviews were conducted to synthesise the evidence on: Review 1 barriers and facilitators to implementing perinatal mental health care; and Review 2 barriers to women accessing perinatal mental health care. Results were used to develop a conceptual framework which was then refined through consultations with stakeholders. Data sources: Pre-planned searches were conducted on MEDLINE, EMBASE, PsychInfo and CINAHL. Review 2 also included Scopus and the Cochrane Database of Systematic Reviews. Review methods: In Review 1, studies were included if they examined barriers or facilitators to implementing perinatal mental health care. In Review 2, systematic reviews were included if they examined barriers and facilitators to women seeking help, accessing help and engaging in perinatal mental health care; and they used systematic search strategies. Only qualitative papers were identified from the searches. Results were analysed using thematic synthesis and themes were mapped on to a theoretically informed multi-level model then grouped to reflect different stages of the care pathway. Results: Review 1 included 46 studies. Most were carried out in higher income countries and evaluated as good quality with low risk of bias. Review 2 included 32 systematic reviews. Most were carried out in higher income countries and evaluated as having low confidence in the results. Barriers and facilitators to perinatal mental health care were identified at seven levels: Individual (e.g. beliefs about mental illness); Health professional (e.g. confidence addressing perinatal mental illness); Interpersonal (e.g. relationship between women and health professionals); Organisational (e.g. continuity of carer); Commissioner (e.g. referral pathways); Political (e.g. women's economic status); and Societal (e.g. stigma). These factors impacted on perinatal mental health care at different stages of the care pathway. Results from reviews were synthesised to develop two MATRIx conceptual frameworks of the (1) barriers and (2) facilitators to perinatal mental health care. These provide pictorial representations of 66 barriers and 39 facilitators that intersect across the care pathway and at different levels. Limitations: In Review 1 only 10% of abstracts were double screened and 10% of included papers methodologically appraised by two reviewers. The majority of reviews included in Review 2 were evaluated as having low (n = 14) or critically low (n = 5) confidence in their results. Both reviews only included papers published in academic journals and written in English. Conclusions: The MATRIx frameworks highlight the complex interplay of individual and system level factors across different stages of the care pathway that influence women accessing perinatal mental health care and effective implementation of perinatal mental health services. Recommendations for health policy and practice: These include using the conceptual frameworks to inform comprehensive, strategic and evidence-based approaches to perinatal mental health care; ensuring care is easy to access and flexible; providing culturally sensitive care; adequate funding of services; and quality training for health professionals with protected time to do it. Future work: Further research is needed to examine access to perinatal mental health care for specific groups, such as fathers, immigrants or those in lower income countries. Trial registration: This trial is registered as PROSPERO: (R1) CRD42019142854; (R2) CRD42020193107. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR 128068) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 2. See the NIHR Funding and Awards website for further award information.

Mental health problems affect one in five women during pregnancy and the first year after birth (the perinatal period). These include anxiety, depression and stress-related conditions. Mental health problems can have a negative effect on women, their partners and their children. They are also a leading cause of maternal death. It is therefore important that women who experience mental health problems get the care and treatment they need. However, only about half of women with perinatal mental health problems are identified by health services and even fewer receive treatment. This research aimed to understand what factors help or prevent women getting care or treatment for perinatal mental health problems. We did this by pulling together the findings from existing research in three phases. In phase 1 we reviewed the evidence from research studies to understand why it has been difficult for health services to assess, care for and treat women with perinatal mental health problems. In phase 2 we reviewed evidence from women's perspectives on all of the factors that prevent women from being able to get the care and treatment they need. In phase 3 we worked with a panel of women, health professionals (such as general practitioners and midwives) and health service managers to look at the findings from phases 1 and 2. We then developed frameworks that give a clear overview of factors that help or prevent women getting care and treatment. These frameworks show 39 factors that help women access services, and 66 factors that prevent access. Based on these results we have developed guidance for government, NHS service managers and health professionals, such as general practitioners, midwives, health visitors, nurses and wider teams such as receptionists. This will be shared widely with health services and professionals who support women during pregnancy and after birth to improve perinatal mental health services so that care meets women's needs.

Continuity of care in community midwifery.

Continuity of care is often critical in delivering high quality health care. However, it is difficult to achieve in community health care where shift patterns and a need to minimise travelling time can reduce the scope for allocating staff to patients. Community midwifery is one example of such a challenge in the National Health Service where postnatal care typically involves a series of home visits. Ideally mothers would receive all of their antenatal and postnatal care from the same midwife. Minimising the number of staff-handovers helps ensure a better relationship between mothers and midwives, and provides more opportunity for staff to identify emerging problems over a series of home visits. This study examines the allocation and routing of midwives in the community using a variant of a multiple travelling salesmen problem algorithm incorporating staff preferences to explore trade-offs between travel time and continuity of care. This algorithm was integrated in a simulation to assess the additional effect of staff availability due to shift patterns and part-time working. The results indicate that continuity of care can be achieved with relatively small increases in travel time. However, shift patterns are problematic: perfect continuity of care is impractical but if there is a degree of flexibility in the visit schedule, reasonable continuity is feasible.