Acute Physical Health Shocks and Mental Health

Wei Song

Supervisors: Panagiotis Kasteridis & Rowena Jacobs

Job Market Presentation, May 1, 2025

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[1.0] Motivation & Research Gap

  • Research extensively explores mental → physical health impacts, but physical → mental direction remains underexplored.

  • Particularly limited evidence for existing secondary mental health care users.

  • Acute physical health shocks offer unique insights due to their unexpected timing.

  • Important implications for NHS integrated care policies and resource allocation.

[1.1] Research Question

  • How do acute physical health shocks impact subsequent mental health service utilisation among existing users of specialist NHS mental health care?

  • Population: Users of specialist mental health care

  • Exposure: Acute physical health shocks (AMI, stroke, cancer diagnosis)

  • Outcome: Mental health service utilisation

[1.2] Study Context

  • NHS England provides primary, secondary, and specialist mental health care.

  • Specialist mental health services primarily delivered by NHS Mental Health Trusts.

  • High rates of physical and mental health comorbidities among patients.

[1.3] Vulnerability of Mental Health Users

  • Existing mental health conditions can exacerbate the impact of acute physical health shocks.

  • Increased risk of disruptions in continuity of mental health care following a physical shock.

  • Understanding utilisation patterns is crucial to inform targeted care integration.

[2.0] Data Overview

Analysis uses linked NHS administrative data from two main sources:

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  • Hospital Episode Statistics (HES): Acute inpatient admissions data
  • Mental Health Services Data Set (MHSDS): Specialist mental health care data

[2.1] Mental Health Care Pathways

  • Primary care (GP and IAPT referrals)

  • Community-based mental health services

  • Secondary and tertiary care (NHS Mental Health Trusts)

  • Integrated care within physical health settings

[2.2] Matched Cohort Construction

  • Propensity score matching based on demographics and health status

  • Matching variables: Age, Sex, IMD quartile, Elixhauser comorbidity index, Mental health clusters

  • Comparison group: Mental health users without acute physical health shocks during study period

[2.3] Defining Exposure

  • Acute physical health shocks identified via first recorded events:

    • Heart attack (AMI)

    • Stroke (Cerebrovascular accident)

    • Cancer diagnosis


  • Event timing precisely established from hospital admission records

[2.4] Defining Outcomes

  • Primary outcome: Days spent in specialist mental health care post-shock

  • Tracked quarterly to observe short- and medium-term impacts

  • Includes inpatient, outpatient, and community care settings

[2.5] Covariates

  • Demographic factors: Age groups (18-35, 36-55, 56-75, 76+), Sex, Ethnicity (White, Black, Asian, Mixed, Other), IMD quartiles (most deprived to least deprived)

  • Clinical characteristics: Elixhauser comorbidity index, Mental health clusters (psychosis, non-psychosis, dementia, and others)

  • Ensures comparability of matched cohorts

[3.0] Econometric framework

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\( y_{it} = \alpha_0 + \alpha X_i + \beta d_i + \gamma \lambda + \color{orange}{\delta d_i \lambda} \) + \( u_{it} \)

[3.1] Multi-timepoint design

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Each \( \lambda \) represents a three-month period

[3.2] Stacked DiD

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\( y_{it} = \alpha_0 + \alpha X_i + \beta d_i + \sum\limits_{t=2}^{T} \gamma_t \lambda_t + \sum\limits_{t=T_s}^{T} \delta_t(d_i \lambda_t) + u_{it} \)

[3.3] Treatment intensity

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\( \small y_{it} = \alpha_0 + \alpha X_i + \sum\limits_{k=1}^{K} \beta_k d_{ik} + \sum\limits_{t=2}^{T} \gamma_t \lambda_t + \sum\limits_{k=1}^{K} \sum\limits_{t=T_s}^{T} \delta_{tk}(d_{ik} \lambda_t) + u_{it} \)

[4.0] Cohort Construction Overview

Step Inpatient Outpatient
Initial number 94,446 803,993
Experienced Acute Health Shock (AHS) 1.04% (984) 1.52% (12,221)
Eligible as controls 44.02% (41,572) 20.66% (166,155)
Eligible Population Total 42,556 178,376
Removed due to death 248 710
Removed due to age ≤ 20 26 69
Missing mental health cluster info 9,076 3,842
Missing ethnicity info 1,695 7,048
Missing IMD information 846 1,445
Final Population (cases + controls) 30,665 (702 cases, 29,963 controls) 165,264 (10,756 cases, 154,508 controls)

[5.0] Results for inpatient: covariate balance

Covariate Balance Inpatient
  • Covariate balance assessed pre- and post-matching for inpatient cohort
  • Standardized mean differences below 0.1 indicate good balance
  • Ensures comparability between treatment and control groups

[5.1] Results, inpatient

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  • Total number of inpatient bed-days: 7.4m for 2016/17, 7.5m for 2019/20
  • Average number of inpatient bed-days: 7 to 8 days per quarter
  • Higher utilisation in July to December time

[5.2] Inpatient (cont.)

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[5.3] Inpatient (cont.)

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[5.4] Inpatient (cont.)

[5.5] Inpatient (cont.)

Men

[6.0] Results for outpatient: covariate balance

Covariate Balance Outpatient
  • Covariate balance assessed pre- and post-matching for outpatient cohort
  • Standardized mean differences below 0.1 indicate good balance
  • Ensures comparability between treatment and control groups

[6.1] Results, outpatient

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  • Total number of days spent in community care: 151m 2016/17, 135m 2019/20
  • Average number of days range from 20 to 25 days per quarter

[6.2] Outpatient (cont.)

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[6.3] Outpatient (cont.)

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[6.4] Outpatient (cont.)

[6.5] Outpatient (cont.)

Men

[7.0] Results, mental health care in physical setting (HES IP)

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[7.1] HES IP

Men

[7.2] HES OP

Men

[8.0] Interpretation of Main Findings

  • Acute physical health shocks substantially alter mental health service use.

  • Impact varies significantly by shock intensity, highlighting treatment heterogeneity.

  • Short-term disruptions evident; longer-term trends merit exploration.

[8.1] Implications for Integrated Care

  • Highlight the need for integrated physical-mental healthcare strategies post-shock.

  • Potential role for liaison psychiatry services in acute care settings.

  • Policy recommendations to enhance continuity of care across NHS services.

[8.2] Strengths and Considerations

  • Robust matched cohort design and multi-timepoint DiD framework.
  • Choice of stacked DiD over staggered DiD for clearer temporal alignment of shocks.
  • Analysis focuses on first-ever acute physical health shocks; repeat events not captured.
  • Chronic nature of some conditions (e.g., cancer) may lead to underestimation of impact.
  • Findings valid within the context of secondary mental health care users in NHS England.

[8.3] Economic and Clinical Relevance

  • Highlight potential increased NHS resource utilisation post-shock.

  • Economic justification for targeted preventative mental health interventions.

  • Clinical emphasis on integrated care improving long-term patient outcomes.

[8.4] Future Research Directions

  • Exploring longer-term mental health trajectories post-acute health shocks.

  • Assessing mental health outcomes in primary care and informal caregiving contexts.

  • Evaluating integrated interventions designed to mitigate mental health impacts.

Thank you.